Lifeboat Foundation

Elon Musk, often known to break the Internet by his statements or acts recently tweeted what seemed like a futuristic invention. Being one of the wealthiest people on the planet was not enough for the CEO of Tesla as he thought two of his brains would be better. One would always wonder how a brain can be transferred into a man-made machine, but with his recent tweet, Elon Musk confirmed he copied his brain to the machine and talks to his digital version.

Read More, ‘I haven’t had sex in ages’: Elon Musk Defends Himself Against Affair Allegations With Google’s Sergey Brin’s Wife, Fans Say He’s a Snake For Forgetting Brin’s Loan To Build Tesla

A recent tweet by Shibetoshi Nakamoto, known as the creator of Dogecoin with an account named, @BillyM2k asked, “If you could upload your brain to the cloud, and talk to a virtual version of yourself, would you be buddies?”. In the second continuation of the tweet, the user posted, “would be cool to have a competitive game buddy of approximately the same skill level. Except he would be a computer and have infinite time so I would more just see him get better at everything while I am busy with dumb life things.”

Synchron has implanted its BCI in a US patient for the first time—bringing it a big step closer to distribution.

Many efforts have been made to image the spatiotemporal electrical activity of the brain with the purpose of mapping its function and dysfunction as well as aiding the management of brain disorders. Here, we propose a non-conventional deep learning–based source imaging framework (DeepSIF) that provides robust and precise spatiotemporal estimates of underlying brain dynamics from noninvasive high-density electroencephalography (EEG) recordings. DeepSIF employs synthetic training data generated by biophysical models capable of modeling mesoscale brain dynamics. The rich characteristics of underlying brain sources are embedded in the realistic training data and implicitly learned by DeepSIF networks, avoiding complications associated with explicitly formulating and tuning priors in an optimization problem, as often is the case in conventional source imaging approaches. The performance of DeepSIF is evaluated by 1) a series of numerical experiments, 2) imaging sensory and cognitive brain responses in a total of 20 healthy subjects from three public datasets, and 3) rigorously validating DeepSIF’s capability in identifying epileptogenic regions in a cohort of 20 drug-resistant epilepsy patients by comparing DeepSIF results with invasive measurements and surgical resection outcomes. DeepSIF demonstrates robust and excellent performance, producing results that are concordant with common neuroscience knowledge about sensory and cognitive information processing as well as clinical findings about the location and extent of the epileptogenic tissue and outperforming conventional source imaging methods. The DeepSIF method, as a data-driven imaging framework, enables efficient and effective high-resolution functional imaging of spatiotemporal brain dynamics, suggesting its wide applicability and value to neuroscience research and clinical applications.

Experiments indicate that bees have surprisingly rich inner worlds.

Summary: Study reveals how somatostatin and copper affect amyloid beta in Alzheimer’s disease pathology.

Source: KAIST

With nearly 50 million dementia patients worldwide, and Alzheimers’s disease is the most common neurodegenerative disease. Its main symptom is the impairment of general cognitive abilities, including the ability to speak or to remember.

Continue reading “How a Neurotransmitter May Be the Key in Controlling Alzheimer’s Toxicity​” »

For scientists searching for the brain’s ‘control room, an area called the claustrum has emerged as a compelling candidate. This little-studied deep brain structure is thought to be the place where multiple senses are brought together, attention is controlled, and consciousness arises. Observations in mice now support the role of the claustrum as a hub for coordinating activity across the brain. New research from the RIKEN Center for Brain Science (CBS) shows that slow-wave brain activity, a characteristic of sleep and resting states, is controlled by the claustrum. The synchronization of silent and active states across large parts of the brain by these slow waves could contribute to consciousness.

A serendipitous discovery actually led Yoshihiro Yoshihara, team leader at CBS, to investigate the claustrum. His lab normally studies the sense of smell and the detection of pheromones, but they chanced upon a genetically engineered mouse strain with a specific population of brain cells that was present only in the claustrum. These neurons could be turned on using optogenetic technology or selectively silenced through genetic manipulation, thus enabling the study of what turned out to be a vast, claustrum-controlled network. The study by Yoshihara and colleagues was published in Nature Neuroscience on May 11.

They started out by mapping the claustrum’s inputs and outputs and found that many higher-order brain areas send connections to the claustrum, such as those involved in sensation and motor control. Outgoing connections from the claustrum were broadly distributed across the brain, reaching numerous brain areas such as prefrontal, orbital, cingulate, motor, insular, and entorhinal cortices. “The claustrum is at the center of a widespread brain network, covering areas that are involved in cognitive processing,” says co-first author Kimiya Narikiyo. “It essentially reaches all higher brain areas and all types of neurons, making it a potential orchestrator of brain-wide activity.”

Millions of people are administered general anesthesia each year in the United States alone, but it’s not always easy to tell whether they are actually unconscious.

A small proportion of those patients regain some awareness during medical procedures, but a new study of the brain activity that represents consciousness could prevent that potential trauma. It may also help both people in comas and scientists struggling to define which parts of the brain can claim to be key to the conscious mind.

“What has been shown for 100 years in an unconscious state like sleep are these slow waves of electrical activity in the brain,” says Yuri Saalmann, a University of Wisconsin-Madison psychology and neuroscience professor. “But those may not be the right signals to tap into. Under a number of conditions—with different anesthetic drugs, in people that are suffering from a coma or with brain damage or other clinical situations—there can be high-frequency activity as well.”

What do we know about cortical columns? A neuroscience (and artificial intelligence) discussion with Jeff Hawkins of Numenta.

Facebook.

Part of the cognitive neuroscience bitesize series. This is a follow-up of ‘basics of fMRI’ that considers exciting developments in mapping the human connect…