#Neuron

This is how the neurons in your brain look when you learn something new. Isn't it amazing?!

This Is What Happens Inside Your Brain When You Learn Something New! 🧠✨ Neurons communicate through intricate networks, and learning can strengthen or reshape their connections. Isn't the human brain incredible?

The brain’s 86 billion neurons make it one of science’s hardest puzzles, so the tools we use matter. NINDS’s Dr. Amy Bany Adams and Dr. Amir Tamiz explore New Approach Methodologies (NAMs) and how new and established methods work better together:

Hypothesis: One of the biggest fallacies in computational neuroscience and neuro-engineering is treating neurons as mere input-output machines. Intrinsic cell behavior has causal significance.

This is how the neurons in your brain look when you learn something new. Isn't it amazing?!

It’s officially November with winter right around the corner.... Like me, you’ve probably seen these and been just as fascinated by them, especially in that year after year, these branchin shapes appear in ice, looking remarkably like neurons. Love that @neurovium has developed a mathematical model exploring this resemblance and what makes a living neuron different. His model shows how feedback between neuronal activity and the surrounding electric field can help signals persist, even without changing the branching shape. Check it out here:

Neurons and glia etched into a pond. #brainfreeze #StonehamMA

A microscopic view of neurons forming a connection, showing an axon extending its growth cone to bridge the gap and link with another cell.

Scientists are turning a biological brain into a robot controller. A fruit fly's neural circuit map, containing around 166,000 neurons, is being used to drive robotic behavior. No conventional AI training. Just biology inspiring machine intelligence. via @CurieuxExplorer

J-147: One of the Most Interesting Experimental Compounds in Neuroprotection and Mitochondrial Research. J-147 is frequently described as a mitochondrial optimizer or cognitive enhancer. But that description barely scratches the surface of what makes this compound interesting. Originally developed by researchers at the Salk Institute, J-147 is a synthetic, curcumin-inspired hydrazone designed through a screening approach targeting cellular processes associated with brain aging and neurodegeneration. Unlike traditional Alzheimer’s research focused almost exclusively on amyloid accumulation, J-147 was developed around the idea that protecting neurons from age-associated cellular dysfunction might be equally important. Its mechanism is where things get particularly interesting. Researchers identified ATP5A, the alpha subunit of mitochondrial ATP synthase, as a molecular target of J-147. ATP synthase is responsible for producing much of the ATP generated through oxidative phosphorylation. Interestingly, J-147 doesn’t simply increase mitochondrial ATP production. It partially inhibits ATP synthase activity. In isolated mitochondrial experiments, inhibition reached approximately 24%, even at saturating concentrations. That mild interference appears to initiate downstream signaling involving intracellular calcium, CAMKK2, AMPK, and mTOR. In other words, J-147 may influence cellular stress-response pathways by altering mitochondrial signaling rather than simply increasing energy production. And that distinction matters. The preclinical research is substantial. Chen et al. (2011) demonstrated improvements in memory-related behavioral testing and facilitated long-term potentiation in experimental models. Prior et al. (2013) reported improved cognitive performance in aged Alzheimer’s-model mice, alongside reductions in soluble amyloid species. Importantly, amyloid plaque numbers were not significantly reduced. Currais et al. (2015) demonstrated benefits in rapidly aging SAMP8 mice, including improvements in cognitive performance and measures associated with age-related neurological dysfunction. Goldberg et al. (2018) further connected J-147 to mitochondrial ATP synthase and reported increases in median lifespan of up to 12.5% in male fruit flies. Neuroprotection, mitochondrial signaling, metabolic regulation, and longevity-related pathways—all associated with one experimental compound. Sounds incredible, right? Here’s the problem. Nearly all the meaningful efficacy data remain preclinical, much of it originating from overlapping research groups. A 64-participant Phase 1 human study was completed, but publicly available efficacy evidence remains extremely limited. Further clinical investigation does not establish that J-147 improves cognition or prevents neurodegeneration in humans. There is currently no FDA-approved therapeutic use for J-147, and its long-term human safety profile remains uncertain. My perspective? J-147 deserves considerably more attention in the research community, particularly for its unusual interaction with mitochondrial ATP synthase. But calling it a proven cognitive enhancer, mitochondrial booster, or longevity compound is getting ahead of the evidence. The mechanism is fascinating. The animal data are encouraging. Now we need convincing human outcomes. #research #ELEVATEresearch

This is what learning actually looks like: your neurons reaching out in the dark, forging new connections that turn a moment into a permanent part of you. Synaptogenesis isn’t abstract. It’s physical. Every skill, every insight, every change in how you see the world starts as this quiet, glowing growth.

12 year old me watching Rias Gremory and Yoko Littner's fat tiddies bounce on screen for like 50 episodes straight

The problem with anime fans now is niggas are 30 getting into anime. Back then we was 12 watching shit like Haganai or To love ru and our favorite waifus was all older than us. Because normies didnt go through this, they feel a need to moralfag and never became real anime fans

@Netscape_Knight 7 year old me watching Tenchi Muyo and Ryoko activating neurons I couldn't possibly understand 🙏

@CairoOvercoat @Netscape_Knight Seeing Chun-Li’s titties in the shower sparking so many neurons.

Meet orexin neurons: a small group in the hypothalamus that helps keep you awake. Their peptides, also called hypocretins, were independently discovered by de Lecea’s and Sakurai’s teams in 1998. Loss of these neurons is a hallmark of narcolepsy type 1. #Neuroscience

ELON MUSK EXPLAINS WHY YOU ARE YOUR BRAIN Elon Musk says you can get a heart transplant or a kidney transplant. But no one has ever gotten a brain transplant. He explains that you are your brain. When he speaks, it is just neurons firing in his brain that create the words you hear. Those same neurons then fire in your brain too. All your experiences and understanding of the world come from trillions of synapses firing inside your brain.

What if humanoid robots could develop something like mirror neurons? You reach out your hand, and the robot shakes it. You raise your hand for a high-five, and it responds. Open your arms, and it knows you want a hug… This is what Social Humanoid, a new project from researchers at UC Berkeley, Sony, and Meta, is working toward. Running on a Unitree G1, the system uses 260 hours of retargeted human interaction data to learn handshakes, hugs, high-fives, assistance, and more. A shared motion vocabulary helps humans and robots map their movements into the same representation. A diffusion-based model predicts how both partners will move next, using live RGB-D input, while SONIC handles whole-body execution. The result is real-time physical interaction, demonstrated on a real G1. It brings to mind mirror neurons in humans: observing someone else’s actions and responding through our own movements. Robots don’t have mirror neurons, of course. But they may be developing an engineering equivalent: the ability to observe, anticipate, imitate, and respond through body language. For humanoids entering our homes and daily lives, learning how to interact with people may be just as important as learning how to perform tasks.

“In the 2030s and 2040s, nanobots will swim in our bloodstream, performing medical tasks with precision.” “They will go into our brains non-invasively and provide wireless communication between our neocortex and digital neurons in the cloud.”

I performed brain surgery on a tiny 135M model. It's score on multiplication problems it had never seen went from 21% to 83% without any training. I grafted artificial neurons directly into the model that changed the way it solves problems.

A Neuron that Remembers aka A CPU Register inside a Neural Network Continuing to hack on the low level components that I need for version 2 of the Manchurian Candidate experiment. One issue I saw was that the "Manchurian Mode" would quickly decay as the chat history progressed. Even if this boolean circuit trick works to eliminate the need for fine-tuning, I'm still going to have the decay problem as the neurons that moderate the secret personality return to their baseline activation states. So we need some way to remember. It turns you can create a bit of memory with a single neuron attached recurrently to itself. It has three inputs: - Set sets it to 1 - Reset sets it to 0 - q its former output If we restrict ourself to our "neural boolean circuit" world where everything is a pure 0 or 1, then this ends up simple set of weights, bias, and hard threshold: q' = q + set - 2 * reset - 0.5 > 0 Thinking of this as a small circuit feels very straightforward. But the fact that this is recurrent means that there's a refresh rate. And to be honest I'm not very sure how that refresh rate fits into something like Qwen. But that's a later problem. For now this feels like the right next piece of the puzzle.

On-chain governance that actually runs the network! 🏛️ The NNS lets $ICP holders vote on upgrades that execute automatically, and the way @dfinity's neurons earn rewards is the key part. Get the details:

Sympathetic neurons remodel the extracellular matrix for thermogenesis dlvr.​it/TWDSzM

Hearing is vibration with a translation layer — bones, fluid, hair cells — then neurons ... 👂 📹 via slava__bobrov (X)