Are we finally on the right track to understand our consciousness?
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Further reading.
https://academic.oup.com/brain/advanc…
https://doi.org/10.1093/brain/awae150
#organoids #sciencenews #brainorganoids #sentience #biocomputers #conciousness
Further Reading.
Thumbnail image credit: Not alive, but not dead… FEATURED SCIENCE ARTICLE.
MRI image: Britannica: brain.
anatomy.
Not alive, but not dead: disembodied human brains used for drug testing.
https://www.science.org/content/artic…
Restoration of brain circulation and cellular functions hours.
https://pubmed.ncbi.nlm.nih.gov/30996…
Science #explained #brains #organoid #sciencenews
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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.
A study by UNIGE, in collaboration with ETH Zurich, has significantly improved the accuracy of a noninvasive brain stimulation technique, paving the way for its use in the treatment of neurological and psychiatric disorders.
Brain stimulation techniques can correct abnormal activity in the neural circuits involved in conditions such as Parkinson’s disease and depression. However, current transcranial stimulation methods delivered through the scalp reach only the brain’s surface, limiting their effectiveness. Deep brain stimulation, on the other hand, can target deeper structures but requires surgical implantation of electrodes.
A team from the Synapsy Center for Neuroscience and Mental Health Research at the University of Geneva (UNIGE), in collaboration with ETH Zurich, the Wyss Center Geneva and EPFL, has improved a promising intermediate technology called “temporal interference stimulation.” This method could allow deeper and more targeted noninvasive brain stimulation. The study is published in Cell Systems.
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A major new development in brain-computer technology is raising eyebrows across the tech world. While Elon Musk’s Neuralink has dominated headlines for years, a breakthrough emerging from China is now sparking fresh debate about who is really leading the race to connect the human brain with advanced computing systems.
In this video, we take a closer look at the latest brain-chip innovation, what makes it different from existing neural interface projects, and why experts are paying close attention. As competition intensifies between global technology powers, advances in neural implants could reshape medicine, communication, and even the future relationship between humans and machines.
Could this new achievement challenge Neuralink’s position at the center of the brain-tech conversation? And what does it mean for the future of artificial intelligence, neuroscience, and human enhancement? The implications may be far bigger than many people realize.
When we fall asleep, our brains don’t just shut off; they get to work. One of their primary jobs is memory consolidation—sorting through the events of the day and filing them into long-term storage. The brain does this by spontaneously “reactivating” or replaying memories.
Recent memories are consolidated during sleep by spontaneous reactivation. However, whether and how memory reactivation affects sleep dynamics remain unclear. By tracking and modulating memory activity during sleep in mice, we revealed that negative memory reactivation promoted arousal, whereas positive memory supported sleep stability. This regulation was mediated by the reactivation of experience-specific hippocampus-amygdala engram circuits during sleep. In chronic stress models, negative memory reactivation promoted sleep disturbance, and targeted suppression of memory reactivation restored normal sleep. Our findings establish a memory-dependent sleep regulation in which memory reactivation engages downstream circuits responsive to specific memory content.