Brain-on-a-chip models, mimicking brain physiology, hold promise for developing treatments for neurological disorders. This Review discusses the engineering challenges and opportunities for these devices, including the integration of 3D cell cultures and electrodes and scaffold engineering strategies.
Daiki Nishioka and colleagues show a nanodevice implementation of deep reservoir computing using an ion-gating reservoir, achieving record-low error rates on a complex computational task. This device is more efficient and scalable for brain-like computing systems exploiting physical systems.
One of the ambitions of computational neuroscience is that we will continue to make improvements in the field of artificial intelligence that will be informed by advances in our understanding of how the brains of various species evolved to process information. To that end, here the authors propose an expanded version of the Turing test that involves embodied sensorimotor interactions with the world as a new framework for accelerating progress in artificial intelligence.
Beaubois et al. introduce a real-time biomimetic neural network for biohybrid experiments, providing a tool to study closed-loop applications for neuroscience and neuromorphic-based neuroprostheses.
Nearly all the neural networks that power modern artificial intelligence tools such as ChatGPT are based on a 1960s-era computational model of a living neuron. A new model developed at the Flatiron Institute’s Center for Computational Neuroscience (CCN) suggests that this decades-old approximation doesn’t capture all the computational abilities that real neurons possess and that this older model is potentially holding back AI development.
A UK teenager with severe epilepsy has become the first person in the world to be fitted with a brain implant aimed at bringing seizures under control.
Oran Knowlson’s neurostimulator sits under the skull and sends electrical signals deep into the brain, reducing his daytime seizures by 80%.
His…
His mother, Justine, said that her son had been happier, chattier and had a much better quality of life since receiving the device. “The future looks hopeful, which I wouldn’t have dreamed of saying six months ago,” she said.
Research in nonhuman primates is opening the possibility of testing treatments for the early stages of Alzheimer’s and similar diseases, before extensive brain cell death and dementia set in. A study published in Alzheimer’s & Dementia shows up to a six-month window in which disease progress could be tracked and treatments tested in rhesus macaques.
This study identifies a small molecule (TAC) that restores physiological levels of TERT throughout aged tissues, resulting in the rejuvenation of multiple tissues. Specifically, TAC administration in very aged mice alleviates multiple aging hallmarks such as cellular senescence and systemic inflammation, promotes new neuron formation with improved cognitive ability, enhances neuromuscular function, and is well tolerated with no evidence of toxicity.
A little scifi sold again as near future situation.
Introducing Cognify, the prison of the future. This facility is designed to treat criminals like patients. Instead of spending years in an actual prison cell, prisoners could finish their sentence here in just a few minutes. Cognify could someday create and implant artificial memories directly into the prisoner’s brain. It could offer a new approach to criminal rehabilitation, transforming how society deals with offenders by focusing on rehabilitation rather than punishment. #Science #Technology #Research #NeuroScience #psychology.
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A recent study at MIT has debunked the effectiveness of a new MRI method called DIANA, which was initially thought to directly detect neural activity.
Instead, the signals detected were found to be artifacts produced by the imaging process itself, highlighting the complexities and challenges in developing accurate neuroimaging techniques.
According to scientists at MIT’s McGovern Institute for Brain Research, a new way of imaging the brain with magnetic resonance imaging (MRI) does not directly detect neural activity as originally reported.
