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We Learned a Bit More About How Human Brains Became So Complex

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Hello and welcome! My name is Anton and in this video, we will talk about a few studies that explain how the human brain developed complexity.
Links:
https://linkinghub.elsevier.com/retrieve/pii/S0092867423009170
https://www.science.org/doi/10.1126/science.ade5645
https://www.biorxiv.org/content/10.1101/2024.05.01.592020v5.full.pdf.
https://www.science.org/doi/10.1126/science.abm1696
https://www.nature.com/articles/s41559-022-01925-6
https://www.microbiologyresearch.org/content/journal/mgen/10…01322#tab2
Other videos:
https://www.youtube.com/watch?v=qyMbXCzcS0k.
https://www.youtube.com/watch?v=e10yOoP-x3g.

#brain #biology #evolution.

0:00 Discoveries about the evolution of the brain.
1:20 800 Million years ago… how it all began.
3:10 Did nervous system evolve multiple times? Comb jellies.
4:45 Big brains — primates vs octopuses.
9:20 Human brains and human intelligence genes.
11:20 Gut microbes and fuel for the brain.
12:20 Conclusions and implications.

Enjoy and please subscribe.

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The hardware used to record these videos:

Neural and computational mechanisms underlying one-shot perceptual learning in humans

In one-shot perceptual learning, what we see can be dramatically altered by a single past experience. Using psychophysics, fMRI, iEEG, and DNNs, the authors identify neural and computational mechanisms underlying this remarkable ability in humans.

Researchers Find Brain Mechanism Behind ‘Flashes of Intuition’

Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, termed “one-shot learning,” have remained unknown. A mysterious type of one-shot learning is perceptual learning, in which seeing something once dramatically alters our ability to recognize it again.

AI tool predicts brain age, cancer survival and other disease signals from unlabeled brain MRIs

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable of analyzing brain MRI datasets to perform numerous medical tasks, including identifying brain age, predicting dementia risk, detecting brain tumor mutations and predicting brain cancer survival. The tool, known as BrainIAC, outperformed other, more task-specific AI models and was especially efficient when limited training data were available.

Results are published in Nature Neuroscience.

“BrainIAC has the potential to accelerate biomarker discovery, enhance diagnostic tools and speed the adoption of AI in clinical practice,” said corresponding author Benjamin Kann, MD, of the Artificial Intelligence in Medicine (AIM) Program at Mass General Brigham. “Integrating BrainIAC into imaging protocols could help clinicians better personalize and improve patient care.”

Scientists just mapped the brain architecture that underlies human intelligence

For decades, researchers have attempted to pinpoint the specific areas of the brain responsible for human intelligence. A new analysis suggests that general intelligence involves the coordination of the entire brain rather than the superior function of any single region. By mapping the connections within the human brain, or connectome, scientists found that distinct patterns of global communication predict cognitive ability.

The research indicates that intelligent thought relies on a system-wide architecture optimized for efficiency and flexibility. These findings were published in the journal Nature Communications.

General intelligence represents the capacity to reason, learn, and solve problems across a variety of different contexts. In the past, theories often attributed this capacity to specific networks, such as the areas in the frontal and parietal lobes involved in attention and working memory. While these regions are involved in cognitive tasks, newer perspectives suggest they are part of a larger story.

A Hidden Cellular Defense May Protect the Brain From Alzheimer’s

Scientists discovered why some neurons resist tau toxicity, identifying CRL5SOCS4 as a crucial defense and linking mitochondrial stress to harmful tau fragments. New research by UCLA Health and UC San Francisco has uncovered why certain brain cells are more resilient than others to the buildup of

Into the neutrino fog: The ghosts haunting our search for dark matter

Ciaran O’Hare scribbles symbols using colored markers across his whiteboard like he’s trying to solve a crime—or perhaps planning one. He bounces around the edges of the board, slowly filling it with sharp angles and curling letters. I watch on, and when he senses I’m losing track, he pauses intermittently, allowing my brain to catch up. Ciaran speaks with an easy to understand British inflection, but the language on the whiteboard might as well be hieroglyphics.

Ciaran’s whiteboard doesn’t lay out a crime, but a mystery in the language of physics. In plain language, the mystery goes like this: everything we can see—with our eyes or elaborate telescopes—makes up only around 5% of the matter in our universe. There’s an invisible something out there that seems to bind the fabric of spacetime together. We don’t know what it is, but we know it’s there because of the force it exerts on the things we can see such as gigantic galaxies. The “something” is a phantom presence that touches our reality.

Scientists call it dark matter.

Dream engineering can help solve ‘puzzling’ questions: Study offers insights to optimizing sleep

We’ve all heard the best approach to solve a problem is to “sleep on it.” It turns out there may be more truth to this adage than previously thought. While stories abound of eureka moments surfacing from dreams, scientific evidence has remained elusive, due to the challenge of systematically manipulating dreams.

A new study by neuroscientists at Northwestern University validates the possibility of influencing dreams and offers a crucial step to support the theory that dreams in REM sleep—the rapid eye movement phase of sleep in which lucid dreaming can occur—may be especially conducive to helping individuals come up with creative solutions to a problem.

The study has been published in the journal Neuroscience of Consciousness.

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