Our brains may work best when teetering on the edge of chaos. A new theory suggests that criticality a sweet spot between order and randomness is the secret to learning, memory, and adaptability. When brains drift from this state, diseases like Alzheimer s can take hold. Detecting and restoring criticality could transform diagnosis and treatment.
During sleep, the brain must achieve a delicate balance: disconnecting from sensory input to allow restorative functions, while remaining alert enough to wake if danger arises. How does it sort through external stimuli—particularly sounds—during sleep? Scientists from the University of Geneva (UNIGE) and the Institut Pasteur have studied how the brain responds to so-called “rough” sounds, such as screams or alarms.
They discovered that these sounds are systematically processed, unlike other sounds, triggering specific brain waves. These results, published in the journal Scientific Reports, provide a better understanding of certain perceptual disorders, such as hyperacusis (hypersensitivity and/or intolerance to certain sounds), as well as the impact of repeated nighttime disturbances on brain function.
Roughness is an acoustic property characterized by rapid modulations of sound intensity, between 40 and 100 times per second. “Unlike speech, where syllables occur at a rate between 4 and 8 Hz, rough sounds hit the auditory system at much higher frequencies, producing a shrill and often unpleasant sensation,” explains Luc Arnal, a researcher at the Institut Pasteur, who co-directed the study.
Researchers from the Chinese Academy of Sciences and Capital Medical University utilized gene editing to create senescence-resistant human mesenchymal progenitor cells (SRCs). In a 44-week trial on aged macaques, biweekly intravenous SRC injections induced no adverse effects and spurred multi-system rejuvenation in 10 major physiological systems and 61 tissue types. Treated macaques displayed enhanced cognitive function and diminished age-related degeneration. The SRCs work by releasing exosomes that curb cellular senescence and inflammation. This study presents the first primate-level proof of cell therapy’s safety and efficacy in reversing aging, presenting a potential multi-system approach for human anti-aging research.
A better understanding of how the human brain represents objects that exist in nature, such as rocks, plants, animals, and so on, could have interesting implications for research in various fields, including psychology, neuroscience and computer science. Specifically, it could help shed new light on how humans interpret sensory information and complete different real-world tasks, which could also inform the development of artificial intelligence (AI) techniques that closely emulate biological and mental processes.
Multimodal large language models (LLMs), such as the latest models underpinning the functioning of the popular conversational platform ChatGPT, have been found to be highly effective computational techniques for the analysis and generation of texts in various human languages, images and even short videos.
As the texts and images generated by these models are often very convincing, to the point that they could appear to be human-created content, multimodal LLMs could be interesting experimental tools for studying the underpinnings of object representations.