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Google Research and HHMI Janelia have published a complete connectome of the male fruit fly brain, mapping 166,000 neurons and 125 million synaptic connections. The achievement demonstrates how AI-assisted brain mapping of smaller organisms can reveal fundamental principles about how nervous systems work.
- The male fruit fly connectome is the largest brain map to date by neuron count and includes the central nervous system, allowing researchers to study how the brain controls the body
- Having both male and female fruit fly brain maps enables direct comparison to study sex-based differences in courtship and aggression, plus individual variability
- Google's AI methods (flood-filling networks, PATHFINDER) are improving fast enough that vertebrate brain mapping is now underway—zebrafish and elephant-nose fish connectomes are already in progress
China is running seven clinical trials using chemogenetics, a technique that lets doctors control specific neurons with designer drugs, but the current approach uses clozapine at ultra-low doses instead of truly inert compounds, raising questions about precision and safety. The technology is sound for treating epilepsy and Parkinson's disease, though next-generation versions could be significantly better.
- Seven ongoing trials in China are testing chemogenetics for epilepsy, Parkinson's disease, and pain by injecting modified genes into the brain that make neurons respond to clozapine taken orally—affecting roughly 10 patients so far.
- Clozapine is used at 1% of the antipsychotic dose in Parkinson's trials and similarly low in epilepsy trials, minimizing off-target effects, but it's still not truly inert and requires long-term monitoring for rare idiosyncratic reactions like agranulocytosis.
- Current trials use hM4Di, which is only 2 amino acids different from the native human M4 receptor, reducing immune rejection risk, but genuinely inert alternatives like DCZ exist and could improve precision in future versions—they just haven't been approved for human use yet.
A collection of recent articles spanning Claude's new memory features, Argentina's persistent crypto adoption, unverified claims about AI agents at OpenAI, midlife brain inflammation discovery, Apple's AI-focused Mac refresh, and broader discussions about AI commoditization, compute concentration, and the philosophical nature of the AI revolution.
- OpenAI and Anthropic are projected to control most of the world's usable computing capacity by 2028 by outbidding competitors and achieving 50x revenue per megawatt of compute, raising questions about centralized control and potential sovereign debt crises.
- A neuroscience study found that around age 50, inflammatory monocytes from the bloodstream replace original brain microglia cells, triggering memory loss and inflammation—a process unique to humans that happens faster in men than women.
- Argentina's crypto adoption remained at 1 in 5 people even after economic conditions improved and dollar access became easier, with 94% of trading going to stablecoins, suggesting it's embedded as a financial habit rather than a crisis response.
- Most questions about AI's impact aren't technical but philosophical, economic, and psychological—making narrow technical expertise insufficient for understanding how AI will transform institutions and society.
Neuroscientists at MIT discovered millions of “silent synapses” in the adult brain, which are dormant neural connections that can be activated to form new memories. This finding suggests that the brain can preserve older memories while accommodating new learning, providing insights into memory flexibility and potential implications for aging.
- MIT researchers found millions of "silent synapses" in the adult brain—dormant connections on filopodia that have NMDA but not AMPA receptors, making them inactive by default
- These silent synapses can be rapidly switched on with glutamate plus a brief electrical signal, but the same trigger doesn't affect already-active synapses
- This gives the brain a built-in way to encode new memories by activating fresh connections rather than overwriting existing ones, potentially explaining how old and new memories coexist
- Filopodia turned out to be far more common in the adult visual cortex than previously assumed, raising questions about how this reserve of silent synapses changes with aging
Researchers are investigating the neurobiological basis of near-death experiences (NDEs) through a model called NEPTUNE, which links these phenomena to brain activity during critical health events. This model faces criticism from other scientists who argue that it overlooks significant evidence from patients' experiences and the implications for understanding consciousness and the afterlife.
- A new model called NEPTUNE synthesizes over 300 papers to explain NDEs via brain mechanisms like blood gas changes during cardiac arrest and temporoparietal junction activity causing out-of-body sensations
- Critics Greyson and Pehlivanova argue the model cherry-picks evidence and can't explain rich, detailed experiences like encounters with deceased loved ones through brain physiology alone
- People who undergo NDEs often report lasting personal transformations, including reduced fear of death and increased empathy and spirituality