БЛОГ

Oct 28, 2012

Mapping the Mind to Merge with Machines: Experimental Research Approaches to Brain Computer Interfaces (BCIs)

Posted by in categories: existential risks, futurism, robotics/AI

The historical context in which Brain Computer Interfaces (BCI) has emerged has been addressed in a previous article called “To Interface the Future: Interacting More Intimately with Information” (Kraemer, 2011). This review addresses the methods that have formed current BCI knowledge, the directions in which it is heading and the emerging risks and benefits from it. Why neural stem cells can help establish better BCI integration is also addressed as is the overall mapping of where various cognitive activities occur and how a future BCI could potentially provide direct input to the brain instead of only receive and process information from it.

EEG Origins of Thought Pattern Recognition
Early BCI work to study cognition and memory involved implanting electrodes into rats’ hippocampus and recording its EEG patterns in very specific circumstances while exploring a track both when awake and sleeping (Foster & Wilson, 2006; Tran, 2012). Later some of these patterns are replayed by the rat in reverse chronological order indicating a retrieval of the memory both when awake and asleep (Foster & Wilson, 2006). Dr. John Chapin shows that the thoughts of movement can be written to a rat to then remotely control the rat (Birhard, 1999; Chapin, 2008).

A few human paraplegics have volunteered for somewhat similar electrode implants into their brains for an enhanced BrainGate2 hardware and software device to use as a primary data input device (UPI, 2012; Hochberg et al., 2012). Clinical trials of an implanted BCI are underway with BrainGate2 Neural Interface System (BrainGate, 2012; Tran, 2012). Currently, the integration of the electrodes into the brain or peripheral nervous system can be somewhat slow and incomplete (Grill et al., 2001). Nevertheless, research to optimize the electro-stimulation patterns and voltage levels in the electrodes, combining cell cultures and neurotrophic factors into the electrode and enhance “endogenous pattern generators” through rehabilitative exercises are likely to improve the integration closer to full functional restoration in prostheses (Grill et al., 2001) and improved functionality in other BCI as well.

When integrating neuro-chips to the peripheral nervous system for artificial limbs or even directly to the cerebral sensorimotor cortex as has been done for some military veterans, neural stem cells would likely help heal the damage to the site of the limb lost and speed up the rate at which the neuro-chip is integrated into the innervating tissue (Grill et al., 2001; Park, Teng, & Snyder, 2002). These neural stem cells are better known for their natural regenerative ability and it would also generate this benefit in re-establishing the effectiveness of the damaged original neural connections (Grill et al., 2001).

Neurochemistry and Neurotransmitters to be Mapped via Genomics
Cognition is electrochemical and thus the electrodes only tell part of the story. The chemicals are more clearly coded for by specific genes. Jaak Panksepp is breeding one line of rats that are particularly prone to joy and social interaction and another that tends towards sadness and a more solitary behavior (Tran, 2012). He asserts that emotions emerged from genetic causes (Panksepp, 1992; Tran, 2012) and plans to genome sequence members of both lines to then determine the genomic causes of or correlations between these core dispositions (Tran, 2012). Such causes are quite likely to apply to humans as similar or homologous genes in the human genome are likely to be present. Candidate chemicals like dopamine and serotonin may be confirmed genetically, new neurochemicals may be identified or both. It is a promising long-term study and large databases of human genomes accompanied by medical histories of each individual genome could result in similar discoveries. A private study of the medical and genomic records of the population of Iceland is underway and has in the last 1o years has made unique genetic diagnostic tests for increased risk of type 2 diabetes, breast cancer prostate cancer, glaucoma, high cholesterol/hypertension and atrial fibrillation and a personal genomic testing service for these genetic factors (deCODE, 2012; Weber, 2002). By breeding 2 lines of rats based on whether they display a joyful behavior or not, the lines of mice should likewise have uniquely different genetic markers in their respective populations (Tran, 2012).

fMRI and fNIRIS Studies to Map the Flow of Thoughts into a Connectome
Though EEG-based BCI have been effective in translating movement intentionality of the cerebral motor cortex for neuroprostheses or movement of a computer cursor or other directional or navigational device, it has not advanced the understanding of the underlying processes of other types or modes of cognition or experience (NPG, 2010; Wolpaw, 2010). The use of functional Magnetic Resonance Imaging (fMRI) machines, and functional Near-Infrared Spectroscopy (fNIRIS) and sometimes Positron Emission Tomography (PET) scans for literally deeper insights into the functioning of brain metabolism and thus neural activity has increased in order to determine the relationships or connections of regions of the brain now known collectively as the connectome (Wolpaw, 2010).

Dr. Read Montague explained broadly how his team had several fMRI centers around the world linked to each other across the Internet so that various economic games could be played and the regional specific brain activity of all the participant players of these games can be recorded in real time at each step of the game (Montague, 2012). In the publication on this fMRI experiment, it shows the interaction between baseline suspicion in the amygdala and the ongoing evaluation of the specific situation that may increase or degree that suspicion which occurred in the parahippocampal gyrus (Bhatt et al., 2012). Since the fMRI equipment is very large, immobile and expensive, it cannot be used in many situations (Solovey et al., 2012). To essentially substitute for the fMRI, the fNIRS was developed which can be worn on the head and is far more convenient than the traditional full body fMRI scanner that requires a sedentary or prone position to work (Solovey et al., 2012).

In a study of people multitasking on the computer with the fNIRIS head-mounted device called Brainput, the Brainput device worked with remotely controlled robots that would automatically modify the behavior of 2 remotely controlled robots when Brainput detected an information overload in the multitasking brains of the human navigating both of the robots simultaneously over several differently designed terrains (Solovey et al., 2012).

Writing Electromagnetic Information to the Brain?
These 2 examples of the Human Connectome Project lead by the National Institute of Health (NIH) in the US and also underway in other countries show how early the mapping of brain region interaction is for higher cognitive functions beyond sensory motor interactions. Nevertheless, one Canadian neurosurgeon has taken volunteers for an early example of writing some electromagnetic input into the human brain to induce paranormal kinds of subjective experience and has been doing so since 1987 (Cotton, 1996; Nickell, 2005; Persinger, 2012). Dr. Michael Persinger uses small electrical signals across the temporal lobes in an environment with partial audio-visual isolation to reduce neural distraction (Persinger, 2003). These microtesla magnetic fields especially when applied to the right hemisphere of the temporal lobes often induced a sense of an “other” presence generally described as supernatural in origin by the volunteers (Persinger, 2003). This early example shows how input can be received directly by the brain as well as recorded from it.

Higher Resolution Recording of Neural Data
Electrodes from EEGs and electromagnets from fMRI and fNIRIS still record or send data at the macro level of entire regions or areas of the brain. Work on intracellular recording such as the nanotube transistor allows for better understanding at the level of neurons (Gao et al., 2012). Of course, when introducing micro scale recording or transmitting equipment into the human brain, safety is a major issue. Some progress has been made in that an ingestible microchip called the Raisin has been made that can transmit information gathered during its voyage through the digestive system (Kessel, 2009). Dr. Robert Freitas has designed many nanoscale devices such as Respirocytes, Clottocytes and Microbivores to replace or augment red blood cells, platelets and phagocytes respectively that can in principle be fabricated and do appear to meet the miniaturization and propulsion requirements necessary to get into the bloodstream and arrive at the targeted system they are programmed to reach (Freitas, 1998; Freitas, 2000; Freitas, 2005; Freitas, 2006).

The primary obstacle is the tremendous gap between assembling at the microscopic level and the molecular level. Dr. Richard Feynman described the crux of this struggle to bridge the divide between atoms in his now famous talk given on December 29, 1959 called “There’s Plenty of Room at the Bottom” (Feynman, 1959). To encourage progress towards the ultimate goal of molecular manufacturing by enabling theoretical and experimental work, the Foresight Institute has awarded annual Feynman Prizes every year since 1997 for contribution in this field called nanotechnology (Foresight, 2012).

The Current State of the Art and Science of Brain Computer Interfaces
Many neuroscientists think that cellular or even atomic level resolution is probably necessary to understand and certainly to interface with the brain at the level of conceptual thought, memory storage and retrieval (Ptolemy, 2009; Koene, 2010) but at this early stage of the Human Connectome Project this evaluation is quite preliminary. The convergence of noninvasive brain scanning technology with implantable devices among volunteer patients supplemented with neural stem cells and neurotrophic factors to facilitate the melding of biological and artificial intelligence will allow for many medical benefits for paraplegics at first and later to others such as intelligence analysts, soldiers and civilians.

Some scientists and experts in Artificial Intelligence (AI) express the concern that AI software is on track to exceed human biological intelligence before the middle of the century such as Ben Goertzel, Ray Kurzweil, Kevin Warwick, Stephen Hawking, Nick Bostrom, Peter Diamandis, Dean Kamen and Hugo de Garis (Bostrom, 2009; de Garis, 2009, Ptolemy, 2009). The need for fully functioning BCIs that integrate the higher order conceptual thinking, memory recall and imagination into cybernetic environments gains ever more urgency if we consider the existential risk to the long-term survival of the human species or the eventual natural descendent of that species. This call for an intimate and fully integrated BCI then acts as a shield against the possible emergence of an AI independently of us as a life form and thus a possible rival and intellectually superior threat to the human heritage and dominance on this planet and its immediate solar system vicinity.

References

Bhatt MA, Lohrenz TM, Camerer CF, Montague PR. (2012). Distinct contributions of the amygdala and parahippocampal gyrus to suspicion in a repeated bargaining game. Proc. Nat’l Acad. Sci. USA, 109(22):8728–8733. Retrieved October 15, 2012, from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3365181/pdf/pnas.201200738.pdf.

Birhard, K. (1999). The science of haptics gets in touch with prosthetics. The Lancet, 354(9172), 52–52. Retrieved from http://search.proquest.com/docview/199023500

Bostrom, N. (2009). When Will Computers Be Smarter Than Us? Forbes Magazine. Retrieved October 19, 2012, from http://www.forbes.com/2009/06/18/superintelligence-humanity-oxford-opinions-contributors-artificial-intelligence-09-bostrom.html.

BrainGate. (2012). BrainGate — Clinical Trials. Retrieved October 15, 2012, from http://www.braingate2.org/clinicalTrials.asp.

Chapin, J. (2008). Robo Rat — The Brain/Machine Interface [Video]. Retrieved October 19, 2012, from https://www.youtube.com/watch?v=-EvOlJp5KIY.

Cotton, I. (1997, 96). Dr. persinger’s god machine. Free Inquiry, 17, 47–51. Retrieved from http://search.proquest.com/docview/230100330.

de Garis, H. (2009, June 22). The Coming Artilect War. Forbes Magazine. Retrieved October 19, 2012, from http://www.forbes.com/2009/06/18/cosmist–terran-cyborgist-opinions-contributors-artificial-intelligence-09-hugo-de-garis.html.

deCODE genetics. (2012). deCODE genetics – Products. Retrieved October 26, 2012, from http://www.decode.com/products.

Feynman, R. (1959, December 29). There’s Plenty of Room at the Bottom, An Invitation to Enter a New Field of Physics. Caltech Engineering and Science. 23(5)22–36. Retrieved October 17, 2012, from http://calteches.library.caltech.edu/47/2/1960Bottom.pdf.

Foresight Institute. (2012). FI sponsored prizes & awards. Retrieved October 17, 2012, from http://www.foresight.org/FI/fi_spons.html.

Foster, D. J., & Wilson, M. A. (2006). Reverse replay of behavioural sequences in hippocampal place cells during the awake state. Nature, 440(7084), 680–3. doi: 10.1038/nature04587.

Freitas, R. (1998). Exploratory Design in Medical Nanotechnology: A Mechanical Artificial Red Cell, Artificial Cells, Blood Substitutes, and Immobil. Biotech.26(1998):411–430. Retrieved October 15, 2012, from http://www.foresight.org/Nanomedicine/Respirocytes.html.

Freitas, R. (2000, June 30). Clottocytes: Artificial Mechanical Platelets,” Foresight Update (41)9–11. Retrieved October 15, 2012, from http://www.imm.org/publications/reports/rep018.

Freitas, R. (2005. April). Microbivores: Artificial Mechanical Phagocytes using Digest and Discharge Protocol. J. Evol. Technol. (14)55–106. Retrieved October 15, 2012, from http://www.jetpress.org/volume14/freitas.pdf.

Freitas, R. (2006. September). Pharmacytes: An Ideal Vehicle for Targeted Drug Delivery. J. Nanosci. Nanotechnol. (6)2769–2775. Retrieved October 15, 2012, from http://www.nanomedicine.com/Papers/JNNPharm06.pdf.

Gao, R., Strehle, S., Tian, B., Cohen-Karni, T. Xie, P., Duan, X., Qing, Q., & Lieber, C.M. (2012). “Outside looking in: Nanotube transistor intracellular sensors” Nano Letters. 12(3329−3333). Retrieved September 7, 2012, from http://cmliris.harvard.edu/assets/NanoLet12-3329_RGao.pdf.

Grill, W., McDonald, J., Peckham, P., Heetderks, W., Kocsis, J., & Weinrich, M. (2001). At the interface: convergence of neural regeneration and neural prostheses for restoration of function. Journal Of Rehabilitation Research & Development, 38(6), 633–639.

Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., Donoghue, J. P. (2012). Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature, 485(7398), 372–5. Retrieved from http://search.proquest.com/docview/1017604144.

Kessel, A. (2009, June 8). Proteus Ingestible Microchip Hits Clinical Trials. Retrieved October 15, 2012, from http://singularityhub.com/2009/06/08/proteus–ingestible-microchip-hits-clinical-trials.

Koene, R.A. (2010). Whole Brain Emulation: Issues of scope and resolution, and the need for new methods of in-vivo recording. Presented at the Third Conference on Artificial General Intelligence (AGI2010). March, 2010. Lugano, Switzerland. Retrieved August 29, 2010, from http://rak.minduploading.org/publications/publications/koene…=0&d=1.

Kraemer, W. (2011, December). To Interface the Future: Interacting More Intimately with Information. Journal of Geoethical Nanotechnology. 6(2). Retrieved December 27, 2011, from http://www.terasemjournals.com/GNJournal/GN0602/kraemer.html.

Montague, R. (2012, June). What we’re learning from 5,000 brains. Retrieved October 15, 2012, from http://video.ted.com/talk/podcast/2012G/None/ReadMontague_2012G-480p.mp4.

Nature Publishing Group (NPG). (2010, December). A critical look at connectomics. Nature Neuroscience. p. 1441. doi:10.1038/nn1210-1441.

Nickell, J. (2005, September). Mystical experiences: Magnetic fields or suggestibility? The Skeptical Inquirer, 29, 14–15. Retrieved from http://search.proquest.com/docview/219355830

Panksepp, J. (1992). A Critical Role for “Affective Neuroscience” in Resolving What Is Basic About Basic Emotions. 99(3)554–560. Retrieved October 14, 2012, from http://www.communicationcache.com/uploads/1/0/8/8/10887248/a…otions.pdf.

Park, K. I., Teng, Y. D., & Snyder, E. Y. (2002). The injured brain interacts reciprocally with neural stem cells supported by scaffolds to reconstitute lost tissue. Nature Biotechnology, 20(11), 1111–7. doi: 10.1038/nbt751.

Persinger, M. (2003). The Sensed Presence Within Experimental Settings: Implications for the Male and Female Concept of Self. Journal of Psychology. (137)1.5–16. Retrieved October ‎October ‎14, ‎2012, from http://search.proquest.com/docview/213833884.

Persinger, M. (2012). Dr. Michael A. Persinger. Retrieved October 27, 2012, from http://142.51.14.12/Laurentian/Home/Departments/Behavioural+Neuroscience/People/Persinger.htm?Laurentian_Lang=en-CA

Ptolemy, R. (Producer & Director). (2009). Transcendent Man [Film]. Los Angeles: Ptolemaic Productions, Therapy Studios.

Solovey, E., Schermerhorn, P., Scheutz, M., Sassaroli, A., Fantini, S. & Jacob, R. (2012). Brainput: Enhancing Interactive Systems with Streaming fNIRS Brain Input. Retrieved August 5, 2012, from http://web.mit.edu/erinsol/www/papers/Solovey.CHI.2012.Final.pdf.

Tran, F. (Director). (2012). Dream Life of Rats [Video]. Retrieved ?September ?21, ?2012, from http://www.hulu.com/watch/388493.

UPI. (2012, May 31). People with paralysis control robotic arms to reach and grasp using brain computer interface. UPI Space Daily. Retrieved from http://search.proquest.com/docview/1018542919

Weber, J. L. (2002). The iceland map. Nature Genetics, 31(3), 225–6. doi: http://dx.doi.org/10.1038/ng920

Wolpaw, J. (2010, November). Brain-computer interface research comes of age: traditional assumptions meet emerging realities. Journal of Motor Behavior. 42(6)351–353. Retrieved September 10, 2012, from http://www.tandfonline.com/doi/pdf/10.1080/00222895.2010.526471.

5

Comments — comments are now closed.


  1. Tom Kerwick says:

    Thanks for the great article. In terms of writing electromagnetic thoughts to the Brain — can you see this technically feasible to extended this to military purposes such as the Active Denial System used by the US military (http://www.youtube.com/watch?v=dmuyLIrSjxI). For example — instead of crude heat ray effects for crowd dispersal in the current design, could more complex signals induce lethargy for crowd control — or is this just impossible…

    1. Greetings Tom,
      The research I have read indicates that for specific neural effects very close proximity and precision to a targeted region of the single individual’s brain are both required (Cohen et al, 2004; Gijsman et al., 2005; Greenberg et al. 1997; Sokhadze et al. 2010). It does appear that a single electromagnetic pulse upon a group of people cannot generate rather specific effect on the brains and thus behavior of those in the targeted group. Heat, pain, lack of motor control or something else that is quite general is the most human neurophysiology can provide it seems for usage in the Active Denial System and similar systems.

      References

      Cohen, H., Kaplan, Z., Kotler, M., Kouperman, I., et al. (2004). Repetitive transcranial magnetic stimulation of the right dorsolateral prefrontal cortex in posttraumatic stress disorder: A double-blind, placebo-controlled study. The American Journal of Psychiatry, 161(3), 515–24. Retrieved from http://search.proquest.com/docview/220494685.

      Gijsman, H. J., Cohen, H., Matar, M. A., Kaplan, Z., & Grisaru, N. (2005). Mania after transcranial magnetic stimulation in PTSD/Dr. Cohen and colleagues reply. The American Journal of Psychiatry, 162(2), 398–400. Retrieved from http://search.proquest.com/docview/220500850.

      Greenberg, B. D., George, M. S., Martin, J. D., Benjamin, J., & al, e. (1997). Effect of prefrontal repetitive transcranial magnetic stimulation in obsessive-compulsive disorder: A preliminary study. The American Journal of Psychiatry, 154(6), 867–9. Retrieved from http://search.proquest.com/docview/220470260.

      Sokhadze, E., Baruth, J., Tasman, A., Mansoor, M., Ramaswamy, R., Sears, L.… Casanova, M. F. (2010). Low-frequency repetitive transcranial magnetic stimulation (rTMS) affects event-related potential measures of novelty processing in autism. Applied Psychophysiology and Biofeedback, 35(2), 147–61. doi: http://dx.doi.org/10.1007/s10484-009-9121-2.

  2. “Great paper!!!! From my humble point of view, there is also the field of Whole Brain Simulation or even going beyond, of whole system simulation (http://code.google.com/p/openworm/). But is it true that connect physically brains with machines is a completely different question. And there also non-invasive tools that can run a deep role into the future of mind-machine interaction (still in progress, but in some cases accessible as toys. See:
    http://www.amazon.com/Mattel-T8498-Mindflex-Duel-Game/dp/B00…atfound-20).
    A fascinating future in front of us!!!!”

    1. Hello Jordi,
      From my perspective, the noninvasive tools like the Mindflex you mention, the Emotiv device (Emotive, 2012) and even the fMRI and fNIRIS used in professional research lack sufficiently high resolution to allow either for the retrieval of information from a device or writing any information to such a device to function as extended memory. Neurophysiological Indications are that cognition occurs at the intercellular level and are distributed among different neuron cells clusters throughout the brain (Haier & Jung, 2007; Koene, 2010; Nicolelis et al., 1995). Some of these neural clusters are less accessible from an external helmet type of device than the neocortex conveniently near the upper surface of the head thus implanting sensors or transceivers of some kind in at least the less accessible areas of the brain appears necessary to achieve cognitive access to externally stored data.

      References

      Emotiv. (2012). Emotiv | EEG System | Electroencephalography. Retrieved November 8, 2012. from http://www.emotiv.com.

      Haier, R. & Jung, R. (2007). Beautiful minds (i.e., brains) and the neural basis of intelligence. Behavioral and Brain Sciences, 30(2), 174. Retrieved from http://search.proquest.com/docview/212207337.

      Koene, R.A. (2010). Whole Brain Emulation: Issues of scope and resolution, and the need for new methods of in-vivo recording. Presented at the Third Conference on Artificial General Intelligence (AGI2010). March, 2010. Lugano, Switzerland. Retrieved August 29, 2010, from http://rak.minduploading.org/publications/publications/koene…0&d=1.

      Nicolelis, M. A. L., Baccala, L. A., Lin, R. C. S., & Chapin, J. K. (1995). Sensorimotor encoding by synchronous neural ensembly activity at multiple levels of the somatosensory system. Science, 268(5215), 1353–1353. Retrieved September 23, 2012, from http://search.proquest.com/pqrl/docview/213573396/fulltextPD…27C83947/4.

  3. How does the mind arise from the br ain?
    The study of comparing the neur al stem cells with the mer istematic cells in a cherry tree
    Research notes from the Minamiohya Clinic, 2012 Authur : Tetsushi Nagai

    TABLE OF CONTENTS
    1. Foreword
    2. On what grounds can we compare neural stem cells and meristematic cells ?
    3 What is the mind?—Neuroscientific approaches up to the present
    3.1 Where is the mind?
    3.2 Understanding the mind with psychology
    3.3 Understanding the mind with neuroscience
    3.4 The problems with neuroscience
    4. Development of the brain and a cherry tree
    4.1 A new theory based on the existence of neural stem cells
    4.2 Neural stem cells and meristematic cells
    5. How does the mind arise from the brain?
    5.1 Conjectures based on brain development
    5.2 The relationship between form and function
    5.3 The role of time
    5.4 Self-consciousness
    5.5 Intuition
    6. The development of the mind
    7. Afterword

    ABSTRACT(long version)
    A machine operates based on the systems with which it is provided; the behaviour of humanbeings, however, is based not only on instinct but also on thoughts that originate in the mind.What is this mind, and how does it arise from the brain as a function? These questions remainunanswered. In an attempt to clarify these issues, psychology deals with the mind by splittingit into various parts, while,inneuroscience, it is believed that if it can be determined exactlywhere in the brain these parts are localized (i.e., the theory of functional localization)—and ifwe then investigate how the millions of cells there work together—we will finally be able tounderstand the relationship between the mind and brain. However, even if a deficit occurs atsome location in the brain—even one that induces some functional impairment—as long as
    the brain recognizes its own existence (i.e. is self-aware), then that intuition, which forms thevery foundation of the mind, will also continue to exist. Basically, according to the variousanalyses based on the theory of the localization of brain function, the mind is not locatedanywhere in the brain. This theory of localization of function cannot in fact explain the minditself. The mind that is born of the brain must be thought of as one of the various phenomenaof life, which, just like the organs in the human body, all begin from various types of stemcell division.
    Plants, animals, and indeed all living things have mechanisms in common. That is to say,from birth until death, at all times, on the basis of inherited genetic information, everyorganism is able to discriminate between self and non-self; every organism also possessesundifferentiated growth points (parts which grow with the passing of time) that grow withoutcessation. When these growth points complete their differentiation,they are left behind as akind of trace while new growth points are born. With the repetition of this process, newmemories are accumulated, and an individual’s existence thus constantly changes. Thesegrowth points, along with the mechanism of memory, can be said to be the building blocks oflife.
    In plants, these structures, which respond to the surrounding environment and grow based onthe differentiation of meristematic cells, are visible to the naked eye. On observing the broadleaveddeciduous rosa multiflora sakura (hereafter referred to as ‘the cherry tree’), we canconclude that the derivation of large branches and twigs from the single thick trunk is similarto the anatomical development of the structures of the human brain. The present studyexamines the growth of a cherry tree and usesthese observations to determine what role theactivity of the huge numbers of neural stem cells has in the creation of the phenomenonknown as the mind.
    Neural stem cells (which here correspond to the cherry tree’s meristematic cells) are located in the various regions of the brain (the cherry tree’s twigs), respond to information from theexternal environment, and differentiate into nerve cells and glial cells (buds, flowers, and leaves in the cherry tree). As part of this process, new structures are built as memories and systems (new leaf stems in the cherry tree). Meanwhile, old or damaged nerve tissue that cannot be reused is discarded (in the cherry tree, this corresponds to the withering and breaking off of branches that do not receive sufficient sunlight), and the memories contained within are lost. In this way, we see that as long as they live, both the brain and the cherry tree are constantly developing.
    Thus it can be conjectured that the mind, on the basis of information gained from both theoutside world by groups of neural stem cells (groups of meristematic cells in the cherry tree)and its own memories (the trunk and branches of the cherry tree), is essentially the activity ofdifferentiation with a view to the future.

    ABSTRACT(short version)
    Human behaviour is controlled not only by instincts but also by the mind. However, therelation of the mind to the brain has not been fully explained. In conventional interpretations,the mind is not believed to be located at any one spot in the brain, which, if true, suggests thatwe will remain forever unable to explain the mind completely, regardless of ourunderstanding of the brain’s local functions. Brain development resembles the branchingprocess of the cherry tree, in which the trunk branches off into limbs and limbs into twigs. Asa novel method of understanding the mind, we compare the patterns of neural stem cellactivity with the growth patterns of the cherry tree. Studying plants in the natural worldenables us to keep an open mind.
    Each neural stem cell (the meristematic cell in the cherry tree,) in the cerebrum (the
    branches) changes into neurons or glial cells (buds, flowers, and leaves) in response toinformation from the external environment. New tissue is added to the memory (new stems).Meanwhile, old neurons die (just as twigs that have long been in the shade will break off).Growth continues as long as life continues.
    This novel perspective suggests that the mind encompasses the entire cerebrum, whose neuralstem cells (the meritematic cells in the cherry tree) retrieve information from both theexternal environment and internal memory (the tree’s stem and limbs).

    Keywords:
    心 mind
    脳 brain 大脳 cerebrum
    神経幹細胞 neural stem cells
    生長点細胞 meristematic cells
    記憶 memory
    自己意識 self-consciousness
    直観 intuition
    ニューラル ネットワーク neural network

    1. FOREWORD

    Despite recent technological advances, many things about the brain remain unclear to us,such as the structures that give rise to brain function, the activity of the brain, and braindiseases and their treatment. Our current knowledge is merely the tip of the iceberg. Researchhas shown only that every part of the brain contains a great number of nerve cells (neurons),as well as supportive glial cells, with blood vessels that crisscross its surface.
    Under the surface of the brain, there are hidden things that we have not even begun to
    understand (Masao Itō, 1998). For example, we are completely unable to explain how
    memories, thoughts, and emotions are created simply by neurons and glial cells, even if wevainly attempt to explain these processes based on the phenomena of physics, the chemicalreactions that we have discovered, or even the latest computer technology. This is becausethe brain comprises an uncountable number of cells, each of which has its own individual life and is able to alter itself and divide. Biology researchers have gone all the way down to the molecular level to solve this fundamental problem and have made valuable discoveries, but the relationship between the brain and mind remains unclear.
    The workings of human life and the growth of a plant—for example, the symbolic broadleaved deciduous rosa multiflora sakura (hereafter referred to as ‘the cherry tree’)—are comparable in that they have a common life process. That is, as living things, both have cells that continuously differentiate into new cells. Similar to the human brain, the cherry tree has mechanisms that allow it to recognize itself and respond to its environment. Those structures are located at the ends of the tree’s roots and leaf stalks and are called meristematic cells.
    These cells actively divide and are the points at which new tissues are created. Of course, this is not to say that a cherry tree—which is, of course, a plant—has an organ like a brain that can react simultaneously to external stimuli and give rise to thoughts and reactions. However, through cytodifferentiation of its innumerable meristematic cells, the cherry tree adjusts itself to the changing seasons and develops buds that grow into flowers, leaves, and branches. For a single tree, this is a marvellous achievement in terms of growth.
    In recent years, cells known as neural stem cells have been discovered in the brains of human adults. These cells can be thought of as acting in a similar way to a plant’s meristematic cells. They possess what is called ‘diversity characteristics’, meaning that they have the potential to become many different types of nerve cell but have not yet undergone cell differentiation at the most detailed level. This discovery, overturned the widespread belief that ‘regeneration of neurons does not occur in higher animals’ (Gerd Kempemann, Fred H. Gage 1997). The discovery of these new neural stem cells suggests that the brain and plants possess and operate on the same kinds of growth mechanisms.
    By using simpler modes of thought that differ from previous purely neuroscientific methods, we may now be able to significantly advance our understanding of the mysterious and complex workings of the brain. Comprehending the mind is said to be the greatest challenge left to mankind; it is also one of the most difficult in principle. We cannot expect any significant progress if we persist in clinging stubbornly to traditional scientific methods.
    In this article, the meristematic cells of plants and the neural stem cells of the brain are compared as a foundation for a novel theory of the workings of the brain. Rather than using standard scientific methodology, I will attempt to apply an intuitive approach to the question: ‘How does the mind arise from the brain?’

    2. ON WHAT GROUNDS CAN WE COMPARE NEURAL STEM CELLS AND THE MERISTEMATIC CELLS ?
    The French philosopher and mathematician Blaise Pascal (1623 – 1662) said: ‘Man is a thinking reed.’ What kind of living thing did he mean by a ‘reed’? It is thought that plants neither think nor have feelings; indeed, for a plant, neither of these functions is necessary. Plants are easy to understand as living things. However, they have keenly developed senses: they cleverly adjust to changes in the natural environment and even have the ability to propagate by means of cloning.
    In the distant past, biologists maintained that only plants and animals that could be seen by the naked eye should be classed as living things. However, with the invention of the microscope and other such equipment, microbes and other organisms that could not be seen with the naked eye came to be classified with animals and plants under the general term of living things. Living things differ from inanimate objects because the former have cells. The cell is the smallest unit possessed by all living things and acts as a microscopic ‘room’ for the organism’s genes (DNA).
    When it comes to the phenomenon of life, all living things on Earth—not just animals, butplants, amoebae, and bacteria, too—share the same basic mechanisms. In addition, they are largely the same in their basic cell structure, basic metabolic functions, genes, and even, to date, the code of their chemical molecules. Thus, when comparing them as living things at the cell level, animals and plants are basically the same. One large difference between them,however, is that plants do not have to acquire energy from other animals, because plants obtain their energy from the sun. Furthermore, animals have various internal organs. Of particular interest is the brain, which allows animals to distinguish themselves from others,control the other organs of the body, and operate as one complete organism.
    The most unusual role of the human brain is that it enables us to recognize our surroundings (i.e., self awareness). Understanding the structures of the brain is part of my work, but I believe it is vital basic knowledge for all of us. Due to the unfortunate fact that my clinic does not have the relevant specialized research facilities, I have been restricted in terms of methodology to observing the daily lives and activities of human beings, along with the cherry tree that I can see from my window.
    Ever since ancient times, Japanese have considered the cherry tree a symbol of their
    psychology as a people. Alongside us, the cherry tree changes with the seasons; first it
    sprouts buds, then it flowers, then bursts into full bloom, and finally sheds its leaves and remains bare throughout the winter. The thought occurred to me that the grace, beauty, and strength of the cherry tree exhibit the very meaning of what it is to be alive—after which I was possessed to ask: ‘What is the mind?’

    3. WHAT IS THE MIND?—NEUROSCIENTIFIC APPROACHES UP TO THE PRESENT
    3.1 Where is the mind?
    When we awaken from sleep, all our sensory organs—our eyes, ears, and skin—naturally become aware of the world around us. In addition to this awareness, we think and recognize based on our memories of our existence in society (otherwise known as self-awareness). Until now, what we called the mind had been defined simply as the origin of all mental activity in the brain or, alternatively, as the general term for mental activity. These vague definitions were due to the fact that the brain has no muscles; thus, we cannot directly view mental activity with the naked eye. These invisible brain activities are inferred on the basis of various external stimuli, e.g., facial expressions, behaviour, body language, and spoken language. Moreover, we also sometimes define the mind as a complicated ‘awareness’ that we can neither see nor describe in words. Sometimes, the mind is defined as the thoughts and ideas that arise seemingly of their own accord.
    What is the mind? Where is it located? Human beings have asked themselves these questions since the dawn of civilization. Six thousand years ago, in Egypt, it was believed that the heart was the seat of the mind; four thousand years ago, in Babylonia, the mind was said to be in the liver. In Ancient Greece, with the advent of more systematic scholarship, it was said that the mind originated in the functions of the brain or heart. For example, Hippocrates (c. 460 BCE – c. 377 BCE), the father of medicine, believed that the mind was ‘the functions of the brain’, the philosopher Plato (c. 428 BCE – c. 347 BCE) believed that ‘the mind lies in the spinal cord’, and Plato’s pupil Aristotle (c. 348 BCE – c. 322 BCE) thought that the mind was to be found in the heart.
    Because Aristotle’s ideas had a great influence on European thinking, it was long believed that the heart was the seat of the mind. However, with the birth of modern science in the 17th century, the brain once more became the focus of attention. The French philosopher René Descartes (1596 – 1650) claimed that the origin of thoughts, and the mind, was in a very deep part of the brain called the pineal gland, which was connected to the nerves of the eyes, thus making it able to sense light and secrete hormones. Similarly, the second-century Roman physician Galen (c. 130 – c. 200), who devoted himself to anatomical research, believed that what he called ‘the flow of the spirits’ was not to be found in the brain itself, but inside cerebrospinal fluid-filled channels within the interior of the brain, which he called ‘brain rooms’.
    There were many other such theories, but after the 17th century it was generally agreed that there was some relationship between the mind and brain. However, the nature of that relationship was an issue that split thought broadly into two schools. The first—the monistic theory—claimed that the mind and the mental activities of the brain were the same thing and that they were just two words for the same process; the second—the dualistic theory—claimed that the mind and brain were different things, different processes, and that the mind was independent from the brain.
    The two theories fundamentally differed, which led to a long intellectual standoff. However, the dualistic theory was predominant because it was compatible with the principles of Christianity. As an example, in the 18th century, the French physician Julian Offroy de la Mettrie (1709 – 1751) propounded a monistic mode of thought and demonstrated that according to the principles of physiology, nothing other than the functions of the brain could be responsible for human mental activity. Upon publication of his findings he was faced with a storm of vitriol from the Church and was forced into exile.
    Today,however, we do not have the luxury of doubting the monistic theory. We accept that what we call our mind is a function of brain activity. It is undeniable that the human brain is created from a mesh of innumerable nerve cells and that all mental activities are spun from inside this mesh. However, regardless of where we search in the brain, there is no physical proof of this fact. Furthermore, there is still no answer to the question: How does the mind arise from the brain?

    3.2 Understanding the mind with psychology
    After plants put down roots into the earth, they cannot move. Instead, they must use their keen senses to adjust and adapt themselves to the seasons and environment in which they grow. We humans, however, do not simply repeat the same actions over and over in this way; we are aware of our environment, and our actions are controlled based on memories, emotions, moods, and thoughts that come from the brain.
    Scientific research on human mental/psychological development began in 1879, when the German physiologist and philosopher Wilhelm Wundt (1832 – 1920) founded the world’s first laboratory of psychological research at the University of Leipzig. However, the inner workings of the human mind are obscure and cannot easily be measured directly or objectively; thus the science of psychology attempts to clarify these internal psychological and emotional processes by means of objective research based on quantifiable external behaviours. In psychology, which deals with the relationship between hidden mental processes and external behaviours and uses both experiments and observation as research methods, the word ‘reactions’ is used rather than the word ‘mind’. Furthermore, psychology divides the processes of human life from birth until death into three stages—the activities of the mind, the actions born of these activities, and the human meaning that those actions have—and regards the mind as composed of many components. Due to recent developments in neuroscientific research methods, we have managed to understand the relationship of some of these components to the brain itself. However, we still cannot explain the essence of the innermost component that controls the other components on a fundamental level. This
    innermost component has been variously referred to as the self, ego, soul, spirit, or one’s self and is thought to be the quintessence of life.

    3.3 Understanding the mind with neuroscience
    In ancient times, it was believed that pneuma was at the origin of all nature, human life, and all their associated workings. This word in Greek has various meanings, including breath, wind, and soul. Pneuma was invisible to the naked eye, but its movements could be heard and felt. It connected human being to human being, and human being to nature, and its existence was credited with enabling humans to live together and achieve greatness as individuals.
    In 1791, Luigi Galvani (1737 – 1798), an Italian anatomist and physician, discovered
    electricity using the leg of a frog and thus paved the way for the discovery of the
    neurotransmission system. The English chemist and theologian Joseph Priestley (1733 – 1804) developed an innovative method of experimentation. Beginning with his discovery of oxygen in air, he also separated various different gases and eventually found that the heat within the human body was caused by chemical reactions. In 1774, Priestley visited France and explained his discovery of the constituents of air to the chemist Antoine Laurent Lavoisier (1743 – 1794). Lavoisier immediately realized the significance of the fact that eventhings that are invisible to the naked eye are made up of many different substances. This led in turn to the chemical revolution that would form the foundation of modern chemistry and that thoroughly negated the idea of the existence of the metaphysical substance pneuma,which had been thought to be responsible for thermogenesis in the human body.
    At this time, in an effort to keep up with developments in modern physiology, brain research also entered a period of extremely significant developments. Research by the English physiologist Charles Scott Sherrington (1861 – 1952) revealed that transmissions between neurons were caused by electric signals and that transmission of these electric signals was due to a chemical agent found in the gaps between neurons (the synapses). Thus information is transferred within the brain via two types of transmission: chemical and electrical. The discovery of this ‘information transmission circuit’, which is known as a neural circuit or neural network, provided a stepping stone for continuing efforts to understand brain structure.
    After the Second World War, W. Penfield (1891 – 1976), a Canadian neurologist and
    neurosurgeon who had studied under Sherrington, put into practice the contemporaneously formulated theory of the localization of brain function, which was based on the idea of electrical stimulation of the cerebral cortex during brain surgery. After obtaining the patient’s advance consent, he attached electrodes to various regions of the cerebral cortex, applied electrical stimulation, and observed the patient’s responses. The results he observed when he applied the stimulus to the region of the brain just above the ear had a decisive impact on neuroscience as a whole: Penfield’s experiment effectively proved the localization theory. However, despite the fact that he had proved that brain function was localized, Penfield
    concluded that, ‘The mind is not inside the brain—it is located elsewhere.’
    In 1958, D.H. Hubel (1926 –) and T.N. Wiesel (1924 –) discovered the optic nerve cells, which respond only to specific stimuli and specific conditions. This discovery set the precedent for the various hypotheses related to recognition cells, which were put forward during the 1980s and 1990s.
    When we see the image of an object, our various nerve cells respond to that image. There are currently two basic schools of thought on how we recognize an image. The first suggests that there is a specific cell in the brain designed to respond to each individual image of an object. This idea takes the localization of brain function all the way down to the individual cell level. If we were to accept this hypothesis, it would mean that we each have, for example, a specific ‘granny cell’ that responds only to our grandmother’s face and, similarly, a specific ‘grandpa cell’ that responds only to the face of our grandfather. The second theory is that we have cells that all selectively respond to various characteristics of shapes, i.e., an object is displayed to us via a combination of these cells. According to this idea, each image of an object is displayed to us as a combination of the object’s particular characteristics; the information we receive is not necessarily localized down to the level of individual cells, and the information is displayed by a group of incomplete cells that have a number of possible responses.
    From the 1970s to the 1980s, the discipline of computer science made immense advances. In parallel with this technological progress, the idea that the mental activities of the brain were similar to the data-processing functions of a computer gradually gained strength. With advent of the computational theory of neuroscientist David Marr (1916 – 1998), the monistic theory of the brain became persuasive. Using as an example the fact that the information transmission circuit found in the synapses of the brain works in exactly the same way as acomputer, Marr proved in theory that it was possible to explain both the brain and a computer by invoking the same system.
    The existence of such an information processing system showed that the brain is constantly processing information at extremely high speeds. However, at the same time it was recognized that the brain is an information processing system so complicated and so fast that no matter how many supercomputers one might link together, a machine did not stand a chance of keeping up. Despite this, computer science has expanded the methods that can be applied to investigating the many questions related to the mind that are raised by those invisible brain activities. Along with increased knowledge in the fields of anatomy, electrophysiology, experimental physiology, and developmental physiology, new brain activity scanning systems such as magnetic resonance imaging (MRI) and positron emission tomography (PET) were introduced during this period. These allow us visualize, via an onscreen image, the region of the brain that is responsible for recognition functions. Simulation technology, which is able to reconstruct neural networks/neural circuits and nerve systems, is also being utilized. With the use of these technologies, neuroscience research is advancing at a rapid pace. We are getting ever closer to the crux of the monistic theory, which states that the mind is to be found somewhere within the brain.

    3.4 Problems with neuroscience

    It is thought that the brain’s processing of information in the sensory mechanisms is carried out by the approximately 14 billion nerve cells that make up the cerebral cortex. Nerve cells are bound to each other at synapses. The total number of synapses in the entire cerebral cortex is as high as 105 × 14 billion. These synapses combine together, creating innumerable nerve circuit meshes. The nerve cells in these meshes do not remain fixed in place like part of a machine; rather they are constantly undergoing cell division and reproducing. Thus the nerve circuit itself is also constantly changing. Although these numberless billions of nerve cells all have the same genes, the cells have been created in different environments and at different times via cell differentiation. So, even if we regard all nerve cells and all synapses
    to be identical, and add them together, this still does not explain the workings of the brain as a whole. The reality is that even if we focus our efforts and manage to ultimately explain themechanisms of one part of the brain in detail, we are still unable to explain the mind, which isthe sum of the functions of the entire brain.

    Natural science aims to explore universal truths and laws, and neuroscience then applies thatsystematic knowledge. However, both natural science and neuroscience ultimately regard thebrain as if it were something inorganic. The knowledge obtained in this manner is taken asobjectively proven fact, which is then applied to every given phenomenon, no matter howlimited the sphere or in what type of organism it was found to hold true initially. Theprevailing belief that comprehending every phenomenon on a basic level requires that we beable to understand and interpret it has been the dominant mode of thought since the scientificrevolution. Therefore, based on this idea, scientists believe that if only we can discover newfacts about the brain, these facts can be interpreted via the brain-as-inorganic-matter mode of
    thinking that has held sway until now. Basically, this mode of thought leads to the incorrectnotion that the ‘phenomenon of life’ and the ‘functions of the machine’, which both haveliving cells as their basic components, act based on the same structures. In the end, for us ashuman beings, the act of clarifying and understanding some given phenomenon is nothingmore than an attempt to satisfy ourselves, to feel secure, or, alternatively, to replicate saidphenomenon so as to make use of it in our daily lives.

    With the abilities we have as human beings we must realize that just because we can
    understand, accept, be satisfied with, and make use of the simple and universal structures asthey are, we cannot expect to understand and be able to replicate the basic structures of thephenomenon of life in the same way as we would a machine.

    4. DEVELOPMENT OF THE BRAIN AND A CHERRY TREE

    4.1. A new theory based on the existence of neural stem cells

    There are several hundred billion nerve cells in the brain. These are made up of the meshes ofelectrically activated neurons and non-excitable glial cells, which help neurons functionproperly and whose number is ten times greater. Unlike other normal cells, a neuron issurrounded by multiple dendrites; one of those dendrites is longer than the others and iscalled an axon. Neurons communicate through a structure called a synapse, which connectsthe neurons together. Electrical signals arising from a neuron go through the dendrites and theaxons and are sent to neighbouring neurons by chemicals in the synapse. It is thought that thisnetwork, which sends signals to the neurons through the synapses, is the brain’s basic cellular
    tissue structure (which I shall refer to as the ‘neural network’).

    It used to be thought that most of the neural network, which produces the essential neuralfunctions, was formed during foetal development and that the cells would not divide againafter they were formed. It was also believed that the adult’ brain was larger than that of anewborn baby due to age-related increases in the number of glial cells, (which are separatefrom neurons); and myelin, (which acts as an insulator for synapses and for electricallyexcitable neurons and is produced during infant development). Furthermore, it was thoughtthat although tens of thousands of neurons perish every day in the adult brain, they could notbe replaced. This ‘textbook’ theory went utterly unchallenged until relatively recently.

    In 1997, Peter S. Erikson (1936 –), of Sahlgrenska University in Sweden, and Fred H. Gage(1940 –), of the Salk Institute for Biological Studies, discovered that neurons are newlycreated every day, even in the brain of a fully grown adult—at least in the hippocampus,which is located in the medial temporal lobe of the brain and plays an important role inmemory and learning. Furthermore, in just the last few years, the discovery of neural stemcells—which do not differentiate into the cells of the nervous system and therefore have thepotential to become various types of cell—has overturned the conventional wisdom thatneurons are not newly created in the brains of adult higher-order animals.

    As it has become clear that neurons are replaced in the adult brain, it can be further assumedthat the structure of the neural network is not fixed, but rather is constantly changing.Moreover, this discovery has given rise to the hypothesis that the mind is formed by theaccumulation of new information that is stored as memories.

    4.2 Neural stem cells and Meristematic cells

    Once a cherry tree has matured, it appears to have stopped growing. This is because as thetree is buffeted by winds and damaged by insects over the years, only the strong branches survive, and the number of meristematic cells—the cells able to produce new buds—continues to decrease. However, even an old tree with a severely depleted number of meristematic cells continues every spring to produce a small number of buds (which then bloom into flowers), puts out fresh green leaves, and thus continues to grow for as long as it lives. We can interpret this in terms of the brain by saying that although the number of neural stem cells decreases with age, the brain, just like the cherry tree, continues to put out new‘buds’, so to speak, and continues to develop as long as it lives.

    Over the years, substantial effort has been devoted to understanding the extremely complexfunctions of the brain. Perhaps this is because we human beings see ourselves as specialorganisms, and therefore believe that we must have special qualities or mechanisms. However, if we treat human beings as just one type of organism, we can see that all living creatures—including plants, animals, fungi, and viruses—have mechanisms in common. In other words, from birth until death, at all times, every organism recognizes its self and its non-self and possesses undifferentiated growth points. Those growth points, which have finished differentiating, leave traces of themselves behind as memories, and as this process is repeated, the memories one possesses, as one’s ‘self’, change over time. It is thought that these growth points (which are able to differentiate) and memories (which have been created from these differentiated growth points) are the building blocks of life.

    Through asymmetric division, neural stem cells, which are the brain’s growth points, growinto two different daughter cells: a new neural stem cell and a nerve cell. Because of the very large number of differentiating neural stem cells, the brain can play an important role as an organ (the neuron network structure)—namely, the continuous creation of an individual’spersonality by means of the constant differentiation of neural stem cells into nerve cells, in combination with information gleaned from the outside environment and accumulated memories. Once these nerve cells have finished their duties, the glial cells are left as memories. In the meantime, the next group of neural stem cells begins to differentiate; thus the neuron network is constantly updated and the brain keeps developing, just like a cherry tree.

    Again, this concept is easier to understand if we liken the brain to a cherry tree. A cherry tree growing outdoors is constantly subject to natural stimuli; it is buffeted by wind and, exposed to the sun and rain. The countless number of meristematic cells in the buds on the tree’s branches sense light and temperature, differentiate, and put out buds, flowers, and leaves. In this way, the new branches that have grown over the years remain as ‘memories’, while new meristematic cells are produced. These growth cells gather together and eventually form a whole cherry tree—from the thick trunk to the numerous small branches growing out from it—that keeps growing. In short, both the brain and cherry tree continuously change and
    develop, without limit.

    5. HOW DOES THE MIND ARISE FROM THE BRAIN?

    5.1 Conjectures based on brain development

    When considering how the mind arises from the brain, it is important to understand on a basic level how the brain occurs and how it is structured. The human brain comes into existence when one fertilized egg differentiates, producing a vast number of cells. This egg has the potential to differentiate into all of our given organs. At around the middle of the third week of the prenatal period, neural stem cells appear. In the early stages of the embryonic period, after repeated cell division and propagation, stem cells of the central nerve system called neural epithelial cells form a single blind-ended tube. On the upper end of the tube grow three ampulae, which will eventually develop into the brain. These three ampulae, from top to bottom, are called the prosencephalon, or forebrain; the mesencephalon, or midbrain; and
    rhombencephalon, or hindbrain. The forebrain develops further, growing into the
    telencephalon, or cerebrum, which swells out on both sides. It resembles the shape of a hemisphere and thus is called the cerebral hemisphere. The midbrain does not develop much further, but the hindbrain further differentiates into three sections: the pons, the cerebellum, and the medulla oblongata. The pons and the cerebellum together are referred to as the hindbrain, while the medulla oblongata is known as the myelencephalon.

    The basic structure of the brain in vertebrates has unchanged little throughout evolution, and the greatest evidence of evolution can be seen in the development of the cerebrum. For instance, in reptiles the cerebrum is merely an appendage of the olfactory bulb, while in mammals it is responsible for most of the functions of the central nervous system. In human beings, the cerebrum is extremely large, to the extent that it covers most of the diencephalon and midbrain. In allometric growth studies of the brain capacity of various species, a line of continuity is apparent from mice all the way up to whales. This enables us to make conjectures regarding the evolutionary process of the central nervous system. In particular, the highly developed forebrain of human beings (which later differentiates into the cerebrum and diencephalon, or interbrain) is very interesting due to its large size and the functions for which it is responsible.

    The same thing can be said of a cherry tree. That is, a single seed grows into a trunk, branches, foliage, and flowers, to form a tree. Of all plants, the cherry tree in particular responds to the outside world by putting out buds, then flowers, then produces green and finally red foliage in accordance with the changing seasons and years, which is very similar to how the human cerebrum functions.

    5.2 The relationship between form and function

    The outside world provides stimuli that our sensory organs take in and respond to. For
    example, a sound stimulus is responded to by a hearing organ such as the vestibulocochlear nerve; a light stimulus is responded to by the eyes, the retina, and the optic nerve; and the warmth produced by light is felt by the skin. When the brain recognizes things in the outside world, as well as the various matters that arise within the mind, it recognizes both the form of the thing as it exists at that moment in time and the functions that will arise from the changes that the form will undergo. Function is a phenomenon that is tied to changes in form. For example, our eyes recognize a cherry tree as a form. Changes in this form take place so slowly that we cannot recognize these changes as functions. However, because we have a stored memory of the changes in the cherry tree’s flowers (i.e., the fact that they are in full
    bloom for a very short period of time, after which they all fall to the ground), when we see the cherry tree in full bloom, in an instant our brain recalls the changes it will undergo. Thus we are made aware of the transience of the life of the cherry blossoms.

    Our senses of sight and touch can recognize the form and function of what we are seeing or touching; however, sounds, smells, and flavours are invisible. Thus the brain cannot directly recognize their form through our remaining three senses of hearing, smell, and taste. However, it can recognize their function, and finally, through those functions, the brain isable to grasp the form. This is why we are able to reproduce in our memory the forms and functions of things we have seen, sounds we have heard, or scenes or situations that have made an impression on us. Stimuli from the outside world are instantaneously converted into electrical signals at the various sensory organs throughout the body, and these signals in turn activate the respective nerve cell networks of the organs able to respond to the signal. The signal is then recognized by the nerve cell network of the brain as a whole. This influences the differentiation of nerve stem cells and becomes a new memory. Due to this endless process, our brain can reconstruct what we are not actually seeing, hearing, tasting, or touching as if it were reality.

    5.3 The role of time

    When it comes to our self-awareness, we are not aware of any changes as they happen; it is asif every moment is the same as the last. However, just like the cherry tree, our brain keepsdeveloping. A group of neural stem cells in the cerebrum continues to respond not only tochanges in its environment but also to our previously extant memories, which are based onthe flow of time. Therefore, time is an extremely important factor in recognizing the flowfrom past to future in the huge number of memories in the mind.

    A newborn baby sleeps almost all the time. When it gets hungry, it wakes up and cries, is fed milk by its mother, quietens, and goes back to sleep. A baby’s life consists of repeating this daily cycle of short periods of wakefulness and long periods of sleep. During this earliest period, the baby’s brain and sensory organs are immature; it cannot yet clearly distinguish between its self and non-self. However, after this earliest period of infancy, as the eyes and ears develop, the baby gains the ability to recognize (reconstruct) the outside world inside his or her brain, even without the input of information from the outside world. Further changes occur as the cerebral cortex rapidly develops, and the baby is now awake for longer periods
    of time and can better recognize its external environment (the outside world). It also begins to recognize itself (self-consciousness). Thus, with this clear division between how wakeful periods and sleep periods are used, new memories are accumulated in the brain with the passage of time, while unnecessary memories are discarded.
    Recognition of the sense of being alive has at its foundation the so-called time factors of past, present, and future. In nature and society, on the other hand, there exists the time factor of history, which is based on the passing of months and years. On the basis of this factor, we recognize the four distinct seasons in Japan, through which the cherry blossom tree proceeds in its growth cycle. Thus we see that our memories are linked to concepts of date, time, and season.

    5.4 Self-consciousness

    The brain, like the other organs, develops to completion in the womb. Immediately after birth,the brain has no consciousness and of course cannot recognize itself or anything else. However, with stimuli from the various sensory organs, the brain continues to develop and byaround the age of three years, it can recognize its own existence. In short, it is able torecognize its self, or ego (oneself). This self is based on the new memories that the brain creates by what it takes from what is around us (the outside world) and what it obtains from thinking of intangible things (the interior world). This is what is known as self-consciousness. This process is basically no different from the process of the cherry blossom tree. Every year the cherry tree puts out an abundance of buds, from which sprout twigs. Of course, not all of these new twigs remain; some are broken, cannot grow, and fall off the tree. This is how a cherry tree ages, and the tree form changes. Self-consciousness develops when the sensory organs, located throughout the bodyrecognize the outside world and send information that is deemed important to the group of undifferentiated neural stem cells in the brain. This information is then compared with the fundamental memories (the self or the ego), and the brain creates new memories (the neuron network). Even with our eyes closed, we can picture an imaginary scene that appears real to us, because these neuron networks, which continue to work and develop every second,
    become what we could call a ‘momentary self’, search for old memories stored in the
    network, and display them in the mind’s eye. The cherry tree, of course, does not have a neuron network like that of the human brain. Instead, its self is its countless meristematic cells, which all differentiate and develop according to their environment.

    The phenomenon of dreaming—i.e., seeing images in the brain while asleep despite theabsence of information from the outside world—can also be explained in this way. By combining various memories, the brain is able to create an internal scene that we think we are seeing and compare it with previous existing memories. The act of thinking is basically making judgments based on a comparison between the world that surrounded you in the past and that which surrounds you in the present. At the time in question, we tend to always believe our judgment is correct; however, with the passage of time, we often come to reconsider our original decision. In short, we are constantly recognizing things anew. The decision we made at that time, or what we thought at that time, is accumulated in the brain as memories. It is believed that this mechanism of self-consciousness is a function of the cerebrum, which has developed enough to reproduce and recognize many versions of our self.

    5.5 Intuition

    An infant, even though it is not able even to talk, discriminates events around it and responds to them with intense curiosity by smiling endearingly or crying loudly. It is thought that it is during this stage that neural stem cells differentiate most actively in a person’s lifetime. At this time, of course, knowledge based on scientific principles and so on is unnecessary; the infant’s brain develops simply via the process of intuition developing into mind, just as the cherry tree does.

    Intuition is the keen and instantaneous feeling we have towards even the smallest of stimuli, without thinking deeply or imagining anything consciously. This is the most important element of the mind. Intuition is basically close to instinct, or our animal-like mind. What we take in from our intuition develops into a clearer mind—that is, our own intentions, or selfconsciousness— when the thought process proceeds further. The difference between the intuitions of the brain and cherry blossom tree lies in the dissimilar characteristics of neural stem cells and meristematic cells. What is essential to understand is that the intuition that the brain shows regarding the changing seasons is neither inferior nor superior to the intuition displayed by the meristematic cells of the cherry tree.

    There is a theory that in ancient times—before calendars existed, when the seasons were not yet clearly defined—people managed their agricultural activities by observing cherry trees. When they saw the cherry trees in full bloom on the mountainside, they could determine when it was time to plant rice seedlings or how much harvest they could expect in the autumn.

    6. THE DEVELOPMENT OF THE MIND
    We are not born with a distinct self-consciousness. We are completely dependent on theperson who rears us for the lifelines of nutrition, temperature regulation, protection fromoutside dangers, and so forth. During this early period, the mind is not yet among the brain’sfunctions. With time, the body grows; however, if an infant does not receive stimuli or information from the outside world, the mind cannot arise spontaneously within the brain, based on things that the infant has never seen or heard. The mind develops to completion by obtaining knowledge, acquiring techniques, and learning the ability to be independent as an individual. It takes as long as twenty years for the mind to grow into that of an adult member of society.

    There are some expressions frequently used in Japanese such as ‘having a heart’, ‘having no heart’, and ‘having a good heart’. It is safe to assume that these expressions come from the fact that, from the birth of human society to the present day, humans have always depended on one another. In short, our minds develop on the basis of our brain’s memories of individuals, society, and nature. Indeed the mind itself is proof of a person’s having been raised in human society. The above expressions indicate that human beings recognize that,
    for us to live in nature or in human society, we need to follow the proper rules of mutual reliance, the rules of nature, and the moral codes of human society.
    The human mind is made of inherited memories that have accumulated in the long and difficult history of human mutual dependence and of human dependence on nature. The Japanese expression o-tagai-sama (we are both of equal status in this regard) symbolizes the desire to settle issues calmly, through compromise and mutual understanding. This is wisdom that has been cultivated over the history of human society—it is not easily dislodged. The brain, with its huge capacity of memories, can acquire a mind unfathomably rich in wisdom, built on the basis of human interdependence and mankind’s dependence on nature. With this wisdom as a foundation, the brain not only preserves its own existence but also keeps on
    learning and developing as it makes careful choices to preserve its own existence.

    In summary, the mind is not included in our genetic information. If cloning technology advances sufficiently, it would be possible to create a human in a short period of time bysimply copying the genes of cells. However, to create a copy of a human being with exactly the same mind as the source, the copy would have to spend exactly the same length of time alive and be raised in exactly the same environment in which the source was brought up. In short, it would be impossible.

    7.AFTERWORD

    Until now, we have long believed that an affluent society can be created on the basis of scientific ideas. At present, however, regardless of the scientific knowledge we havemanaged to accumulate, we are surrounded by changes in our environment—the problem of ageing societies, explosive increases in the world’s population, severe disasters, and so on— as well as other such unpredictable events that have created more complex and difficult problems for us to solve. If this situation continues, then distress and anxiety, worries about not being able to have a stable life, and a general feeling of despair will all undoubtedly increase because, behind the curtain of ‘scientific advancement’ and ‘scientific ideas’, there are problems we have either failed to notice or have avoided discussing, i.e., those problems that cannot be explained with science.

    For instance, although it is true that we now live longer, we cannot avoid ageing. The number of elderly people hospitalized for treatment of health problems and anxiety is constantly on the rise. No means have been found to halt these fundamental changes. Life does not let us die easily. Neither science nor medicine has managed to show us a way to adapt to today’s super-ageing society—a phenomenon that we are experiencing for the first time as a species. They tell us nothing about how we can live a peaceful, easy life.

    What we must not forget is that there are limits to human abilities and that humans have managed to live in nature by depending on our intuition and mind. The scientific way of thinking only focuses on the benefits to be gained through comparative research; modern science does not place great importance on dealing with difficult and/or unexpected problems. I wonder if the side effects of the issues that have been marginalised will not become more and more apparent in coming years. Furthermore, people have accepted so-called scientifically based ideas, calling them ‘proven facts’, even though they have not confirmed them for themselves. Moreover, depending on their requirements, people interpret these scientifically based ideas in different ways. This leads to the discussion branching off in multiple directions, taking on an uncontrollable life of its own.

    So what does the advancement of science really mean to us? Is it absolutely necessary for human happiness? If it is necessary, then to what extent? Are we sure there aren’t some serious hidden disadvantages behind the initial advantages? Has the interpretation of conventional science and its direction thus far been stretched, and has now slipped into selfcomplacency

    To answer these questions, I believe that we need to consider in turn the following ones. What is the mind that we have been given? How can we fulfil the mind? What did our ancestors think about the difficult problems of life, and how did they overcome them? We must as individuals also recognize the problems we have caused in nature and society, and not be afraid to express them. If we live without fearing failure, recognizing our own individuality in the midst of the workings of nature, and recognizing the role we have to play, then perhaps we can eventually achieve happiness.

    When I see patients in my consultation room, I realize that, for human beings, not only the symptoms of the body, but also the condition of the mind that lies behind those symptoms, is important. If I can help someone to lead, in his or her own way, a principled, enjoyable life by helping that person to understand the questions, What is the mind?, What is the self?, How does the mind arise from the brain?, and Why is the mind necessary?, then I would feel very privileged indeed.