#visuomotor-transformation

#visuomotor-transformation

Dr. Conor Boland explained that red-light timing can erase small speed advantages, allowing a slower car to catch up again and again. He noted, 'You pass a car, and then a few minutes later, it ends up beside you again.' This phenomenon is partly psychological, as we remember surprising moments when the same car shows up again, but it is also built into how traffic works.

Galen Buckwalter, a 69-year-old research psychologist and quadriplegic, participated in a brain implant study to contribute to science that aids those with paralysis. The six chips in his brain decode movement intention, allowing him to operate a computer and feel sensations in his fingers again.

They created an artificial 'mental map', with pleasantness along one axis and bodily reactions along the other, and charted how the brain responded while watching clips from films. The results revealed clear groupings in the way that our brains represent emotion - with guilt, anger and disgust in one corner and happiness, satisfaction and pride in the other.

If we told them to look at the face, they could usually manage it. But they were mostly looking at the hands. The Prakash children eventually learn to look at faces when spoken to - usually a few months after their surgeries. Their experiences reveal that seeing doesn't come naturally the moment a person is cured of blindness. Newly-sighted people must learn to see.

The human brain is engineered to ignore most of what it sees and hears, according to the neuroscientists I interviewed for the audio original Viral Voices. If that's the case, how are you supposed to make a memorable impression? The empowering news is that if you understand how the brain works, what it discards, and what it pays attention to, you'll be far more persuasive than you've ever imagined. Persuasive people have influence in their personal and professional lives.

Artificial intelligence (AI) machine learning is making a difference in assistive technology to help restore movement for the paralyzed. A new study in the American Institute of Physics journal APL Bioengineering shows how AI has the potential to restore lower-limb functions in those with severe spinal cord injuries (SCIs) by identifying patterns in brain signals captured noninvasively via electroencephalography (EEG).

Neuroscientists have a name for the brain network that fires up when you're not focused on an external task: the default mode network, or DMN. It's the constellation of regions - the medial prefrontal cortex, posterior cingulate cortex, and angular gyrus among them - that hums to life when you daydream, reflect on yourself, or think about other people's mental states.

Scroll through any wellness feed, and you might notice the same whiplash-inducing pattern. Dissociation is either a dangerous sign of pathology or "a protective intelligence that deserves reverence." Trauma responses are framed as evidence of brokenness or badges of resilience. Anxiety is either a disorder to eliminate or an intuition to honor. We've flattened the rich, complex reality of the nervous system into a binary: demonize or romanticize. But neither extreme helps us understand ourselves-or decide when we actually need support.

At the Winter Olympics, skiers, bobsledders, speedskaters, and many other athletes all have to master one critical moment: when to start. That split second is paramount during competition because when everyone is strong and skilled, a moment of hesitation can separate gold from silver. A competitor who hesitates too much will be left behind -but moving too early will get them disqualified.

Real estate with ocean views, stunning mountain vistas, and wide-open green spaces sell at premium prices because humans find those settings pleasing [1-5]. Certain color combinations in fashion-such as brown and forest green-blend harmoniously, while others, such as hot pink and orange, clash. And our eyes like certain proportions in visual objects (like buildings and human faces) but not others.

I am a worrier, and have been for most of my life. At some point, someone dear and smart teased me that I worry about the wrong things. The things that hit me, she noted, were never the things I worried about. For a while that left me feeling like an incompetent worrier-until my research caught up. I realized that the things I worry about often don't end up hurting me precisely because worrying helps me diffuse them ahead of time.

The team, which is being led by Jülich neurophysics professor Markus Diesmann, will leverage the Joint Undertaking Pioneer for Innovative and Transformative Exascale Research (JUPITER) supercomputer for their simulation. JUPITER is currently the fourth most powerful supercomputer in the world according to the TOP500 list, and features thousands of graphical processing units. The team demonstrated last month that a " spiking neural network " could be scaled up and run on JUPITER, effectively matching the cerebral cortex's 20 billion neurons and 100 trillion connections.

Betley and his colleagues were curious about what happens in the brain as people get stronger through exercise. They decided to focus on the ventromedial hypothalamus, a brain region that regulates appetite and blood sugar. The team then zeroed in on a group of neurons in that region that produce a protein called steroidogenic factor 1 (SF1), which is known to play a part in regulating metabolism. A previous study found that the deletion of the gene that codes for SF1 impairs endurance in mice.

It might come as a surprise to learn that the brain responds to training in much the same way as our muscles, even though most of us never think about it that way. Clear thinking, focus, creativity, and good judgment are built through challenge, when the brain is asked to stretch beyond routine rather than run on autopilot. That slight mental discomfort is often the sign that the brain is actually being trained, a lot like that good workout burn in your muscles.

There was a group of neurons that predicted the wrong answer, yet they kept getting stronger as the model learned. So we went back to the original macaque data, and the same signal was there, hiding in plain sight. It wasn't a quirk of the model - the monkeys' brains were doing it too. Even as their performance improved, both the real and simulated brains maintained a reserve of neurons that continued to predict the incorrect answer.