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Frontiers: For nearly a decade, the idea that ‘the body keeps the score’ has shaped public and clinical understanding of trauma (van der Kolk, 2014)

It is an enticing metaphor—implying that experience is literally inscribed in flesh, that the body bears the scars of what the mind cannot face. Yet recent advances in computational and systems neuroscience reveal that this image, while emotionally compelling, is biologically inaccurate. The body proper does not store trauma; the brain dynamically reenacts it through maladaptive inference. What endures after trauma is not a memory lodged in non-innervated tissue but a collapse of flexibility—a loss of metastability, the brain’s ability to fluidly switch among semi-stable network states.

In computational terms, trauma over-weights the precision of danger priors: the brain assigns excessive confidence to threat predictions, constraining inference based on the prior premise of enduring danger. The result is hypervigilance, flashbacks, and avoidance—symptoms of a system caught in self-confirming predictions. Mathematically, this overconfidence means one cannot escape local minima—in a free energy landscape—that become deeply and precisely engrained (i.e., trapped in a ravine with steep sides, where precision corresponds to the local curvature or steepness).

This rigidity contrasts with a healthy brain’s metastable dynamics, where neuronal networks continually integrate and segregate in response to context. This allows neuronal dynamics to explore multiple (unstable) interpretations of the world. Hellyer and colleagues demonstrated that metastability is a hallmark of cognitive flexibility: the capacity for neural coalitions to assemble transiently and adapt quickly. Using both empirical and computational approaches, Hellyer et al. (2015) showed that reduced metastability arising from damage to the structural connectome was associated with diminished cognitive flexibility and impaired information processing. Trauma erodes this fluidity, trapping the brain in narrow basins of fear and defensive salience. To restore mental health is not about ‘releasing’ stored emotion but reestablishing dynamic equilibrium enabling the brain’s ability to move with graceful agility over a landscape of beliefs, commitments and intentions.

New Discoveries Challenge Everything We Knew About Brain Evolution

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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/retri
Other videos:
• Surprise Evidence That Gut Microbes Direct…
• Mindblowing Discoveries About Bacteria Liv…
• Direct Connection Between Gut Microbiome a…
#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.

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Scientists Put a Fruit Fly’s Brain in a Computer Simulation… What It Did Is Now Scaring Scientists

Scientists have achieved an incredible breakthrough by recreating the brain of a fruit fly inside a computer simulation. By mapping around 140,000 neurons and millions of connections, they built a digital brain that can sense its environment, process information, and even control a virtual body. In the simulation, the digital fly was able to search for food, respond to stimuli, and show behaviors that were not directly programmed by scientists. This discovery shows how powerful neural connections are in generating behavior. It also raises fascinating questions about the nature of intelligence, consciousness, and whether complex brains—including ours—could one day be simulated in computers.

sources

https://eon.systems/updates/embodied-brain-emulation.

Research Paper for more information.
https://marginalrevolution.com/margin

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Transparent OLED advance could improve AR displays and smart windows

Seoul National University College of Engineering announced that a research team led by Prof. Yongtaek Hong from the Department of Electrical and Computer Engineering has developed a high-performance transparent organic light-emitting diode (OLED) incorporating highly conductive transparent metal mesh top electrodes fabricated using a selective metal deposition technique. The research was published in the journal Materials Horizons and was selected as the outside front cover image for the issue.

Transparent OLEDs have attracted significant attention for next-generation applications, including advanced displays, augmented reality (AR), automotive displays and smart windows, because of their capability for bidirectional light emission. However, despite achieving high optical transparency and excellent electrical performance, conventional transparent electrodes often face limitations when directly integrated into OLED devices because their fabrication processes can chemically or physically damage the underlying organic layers.

To address this challenge, the research team developed a metal-patterning technology based on a high-resolution transfer-printing process using a metal-vapor-desorption layer (MVDL). This approach enables the fabrication of highly conductive transparent metal mesh patterns with micrometer-scale resolution without requiring chemical washing or lift-off processes. As a result, high-quality vapor-deposited metal patterns can be directly formed on organic stacks while minimizing damage to the underlying organic device layers.

This Chip Breakthrough Shrink Data Centers 10,000×

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00:00 — Why Superconductors?
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One-way quantum synchronization could make quantum computers more reliable

Scientists at RIKEN have proposed a new way to make quantum systems synchronize in only one direction—like a one-way street for sound particles known as phonons. The breakthrough combines two quantum effects to create a form of one-way quantum synchronization that remains surprisingly stable even when exposed to manufacturing flaws and environmental noise, two major obstacles that have long hindered real-world quantum technologies.

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