The Science Eye’s grand promise is to help restore vision. If it works, we might even be able to manipulate our own reality.
Summary: It may be possible to optimize the stimulation parameters of brain implants in animals without human intervention. The study highlights the potential for autonomous optimization of prostheses implanted in the brain. The advance may prove to be beneficial for those with spinal cord injury and diseases that affect movement.
Source: University of Montreal.
Scientists have long studied neurostimulation to treat paralysis and sensory deficits caused by strokes and spinal cord injuries, which in Canada affect some 380,000 people across the country.
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It’s a step that could one day lead to advances for humans that boost quality of life for many by: giving amputees and those with spinal injuries control of advanced prosthetics, stimulating the sacral nerve to restore bladder control, stimulating the cervical vagus nerve to treat epilepsy and providing deep brain stimulation as a possible treatment for Parkinson’s.
Cameras for machine vision and robotics are essentially bionic devices mimicking human eyes. These applications require advanced color imaging systems to possess a number of attributes such as high resolution, large FoV, compact design, light-weight and low energy consumption, etc1. Conventional imaging systems based on CCD/CMOS image sensors suffer from relatively low FoV, bulkiness, high complexity, and power consumption issues, especially with mechanically tunable optics. Recently, spherical bionic eyes with curved image sensor retinas have triggered enormous research interest1,2,3,4,5,6,7. This type of devices possess several appealing features such as simplified lens design, low image aberration, wide FoV, and appearance similar to that of the biological eyes rendering them suitable for humanoid robots8,9,10,11,12,13. However, the existing spherical bionic eyes with curved retinas typically only have fixed lens and can only acquire mono color images. Fixed lenses cannot image objects with varying distances. On the other hand, conventional color imaging function of CCD/CMOS image sensors are achieved by using color filter arrays, which add complexity to the device fabrication and cause optical loss14,15,16,17,18,19. Typical absorptive organic dye filters suffer from poor UV and high-temperature stabilities, and plasmonic color filters suffer from low transmission20,21,22. And it is even more challenging to fabricate color filter arrays on hemispherical geometry where most traditional microelectronic fabrication methods are not applicable.
Herein, we demonstrate a novel bionic eye design that possesses adaptive optics and a hemispherical nanowire array retina with filter-free color imaging and neuromorphic preprocessing abilities. The primary optical sensing function of the artificial retina is realized by using a hemispherical all-inorganic CsPbI3 nanowire array that can produce photocurrent without external bias leading to a self-powered working mode. Intriguingly, an electrolyte-assisted color-dependent bidirectional synaptic photo-response is discovered in a well-engineered hybrid nanostructure. Inspired by the vertical alignment of a color-sensitive cone cell and following neurons, the device structure vertically integrates a SnO2/NiO double-shell nanotube filled with ionic liquid in the core on top of a CsPbI3/NiO core-shell nanowire. It is found that the positive surrounding gate effect of NiO due to photo hole injection can be partially or fully balanced by electrolyte under shorter (blue) or longer (green and red) wavelength illuminations, respectively. Thus, the device can yield either positive or negative photocurrent under shorter or longer wavelength illumination, respectively. The carriers can be accumulated in SnO2/NiO structure, giving rise to the bidirectional synaptic photo-response. This color-sensitive bidirectional photo-response instills a unique filter-free color imaging function to the retina. The synaptic behavior-based neuromorphic preprocessing ability, along with the self-powered feature, effectively reduce the energy consumption of the system23,24,25,26,27,28. Moreover, the color selectivity of each pixel can be tuned by a small external bias to detect more accurate color information. We demonstrate that the device can reconstruct color images with high fidelity for convolutional neural network (CNN) classifications. In addition, our bionic eye integrates adaptive optics in the device, by integrating an artificial crystalline lens and an electronic iris based on liquid crystals. The artificial crystalline lens can switch focal length to detect objects from different distances, and the electronic iris can control the amount of light reaching the retina which enhances the dynamic range. Both of the optical components can be easily tuned by the electric field, which are fast, compact, and much more energy efficient compared to the conventional mechanically controlled optics reported hitherto. (Supplementary Table 1 compares our system with some commercial zoom lenses.) The combination of all these unique features makes the bionic eye structurally and functionally equivalent to its biological counterpart.
Blackrock’s long-tested NeuroPort® Array, widely considered the gold standard of high-channel neural interfacing, has been used in human BCIs since 2004 and powered many of the field’s most significant milestones. In clinical trials, patients using Blackrock’s BCI have regained tactile function, movement of their own limbs and prosthetics, and the ability to control digital devices, despite diagnoses of paralysis and other neurological disorders.
While Blackrock’s BCI enables patients to execute sophisticated functions without reliance on assistive technologies, next-generation BCIs for areas such as vision and memory restoration, performance prediction, and treatment of mental health disorders like depression will need to interface with more neurons.
Neuralace is designed to capitalize on this need; with 10,000+ channels and the entire scalable system integrated on an extremely flexible lace-structured chip, it could capture data that is orders of magnitude greater than existing electrodes, allowing for an exponential increase in capability and intuitiveness.
Ed Boyden shows how, by inserting genes for light-sensitive proteins into brain cells, he can selectively activate or de-activate specific neurons with fiber-optic implants. With this unprecedented level of control, he’s managed to cure mice of analogs of PTSD and certain forms of blindness. On the horizon: neural prosthetics. Session host Juan Enriquez leads a brief post-talk Q&A.
In this episode, my guest is Matthew MacDougall, MD, the head neurosurgeon at Neuralink. Dr. MacDougall trained at the University of California, San Diego and Stanford University School of Medicine and is a world expert in brain stimulation, repair and augmentation. He explains Neuralink’s mission and projects to develop and use neural implant technologies and robotics to 1) restore normal movement to paralyzed patients and those with neurodegeneration-based movement disorders (e.g., Parkinson’s, Huntington’s Disease) and to repair malfunctions of deep brain circuitry (e.g., those involved in addiction). He also discusses Neuralink’s efforts to create novel brain-machine interfaces (BMI) that enhance human learning, cognition and communication as a means to accelerate human progress. Dr. MacDougall also explains other uses of bio-integrated machines in daily life; for instance, he implanted himself with a radio chip into his hand that allows him to open specific doors, collect and store data and communicate with machines and other objects in unique ways. Listeners will learn about brain health and function through the lens of neurosurgery, neurotechnology, clinical medicine and Neuralink’s bold and unique mission. Anyone interested in how the brain works and can be made to work better ought to derive value from this discussion.
#HubermanLab #Neuroscience.
This film by Ken Gumbs tackles the issue of pending greater-than-human artificial intelligence and the possible ramifications. Different individuals with different backgrounds are interviewed on the subject, including a theologian, a philosopher, a brain builder and a cyborg. A wide spectrum of topics are discussed, including trans-humanism, mind-machine mergers, uploading, and artificial super-intelligence.
Thousands of people in Ukraine have lost their limbs in the war against Russia, according to World Health Organisation estimates.
The Ukrainian charity Superhumans and the UK-based company Open Bionics have partnered to create bionic arms for the wounded.
Continue reading “The factory making bionic arms for Ukrainian soldiers — BBC News” »
Scientists have created thin, elastic bottlebrush polymer films that can function as artificial muscles at significantly lower voltages than currently available materials, potentially enabling their use in safer medical devices and artificial organs.
Whether wriggling your toes or lifting groceries, muscles in your body smoothly expand and contract. Some polymers can do the same thing — acting like artificial muscles — but only when stimulated by dangerously high voltages. Now, researchers in ACS Applied Materials & Interfaces report a series of thin, elastic films that respond to substantially lower electrical charges. The materials represent a step toward artificial muscles that could someday operate safely in medical devices.
Artificial muscles could become key components of movable soft robotic implants and functional artificial organs. Electroactive elastomers, such as bottlebrush polymers, are attractive materials for this purpose because they start soft but stiffen when stretched. And they can change shape when electrically charged. However, currently available bottlebrush polymer films only move at voltages over 4,000 V, which exceeds the 50 V maximum that the U.S. Occupational Safety & Health Administration states is safe. Reducing the thickness of these films to less than 100 µm could lower the required voltages, but this hasn’t been done successfully yet for bottlebrush polymers. So, Dorina Opris and colleagues wanted to find a simple way to produce thinner films.
