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What makes this specific brain map such a massive leap forward? Our new connectome maps over 166,000 neurons and 125 million connections, and it extends beyond the brain to include the nerve cord, which is analogous to our spinal cord. By comparison, our 2020 hemibrain connectome project with partners,... show more

Google AI

2,454,741 subscribers

14,177 次观看 • 4 天前 •via X (Twitter)

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Google AI4 天前

Because it’s a stepping stone to understanding our own. Nervous systems across species share surprising similarities. By using AI to map these smaller organisms (like flies and fish), we are paving the way for research that could one day help treat and repair human neural and cognitive ailments.

Google AI 的头像

Google AI4 天前

Our @GoogleResearch Connectomics team, in collaboration with @HHMIJanelia, has released the complete wiring diagram of a male fruit fly’s brain and central nervous system — the largest brain map by number of proofread neurons to date. So, why do we care so much about a tiny fly's brain? 🧵👇

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Google AI4 天前

Read the blog to learn more about how these brain maps continue to advance neuroscience ↓

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Fajar M Reza4 天前

Mapping 125 million connections reveals biological structure behavior alone cannot expose.

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Vickery Machine Logic, LLC2 天前

I've seen people harnessing this model. Seems potentially useful for quick vision tasks.

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🪰 A team of researchers has unveiled the complete connectome of a male fruit fly central nervous system—a seamless map of all the neurons in the brain and nerve cord of a single male fruit fly and the millions of connections between them. 🔗

🪰 A team of researchers has unveiled the complete connectome of a male fruit fly central nervous system—a seamless map of all the neurons in the brain and nerve cord of a single male fruit fly and the millions of connections between them. 🔗

HHMI | Janelia

23,891 次观看 • 11 个月前

Scientists used 200,000 human brain cells to play DOOM. The cells had never seen a computer. They learned in real time. They got better. Separately: an entire fruit fly brain, 139,000 neurons, 50 million connections, was copied into a laptop. It predicts real brain responses with 90%+ accuracy. The biological computing timeline: 2021 → neurons learn Pong 2022 → fruit fly brain fully mapped 2024 → entire fly brain simulated on a laptop 2026 → human brain cells play DOOM A GPU needs ~700W to run an LLM. The brain runs the whole show on 20W. We're spending trillions on building the next giant AI training computer but what if the solution to our energy needs was just copying the technology already running in our heads?

Scientists used 200,000 human brain cells to play DOOM. The cells had never seen a computer. They learned in real time. They got better. Separately: an entire fruit fly brain, 139,000 neurons, 50 million connections, was copied into a laptop. It predicts real brain responses with 90%+ accuracy. The biological computing timeline: 2021 → neurons learn Pong 2022 → fruit fly brain fully mapped 2024 → entire fly brain simulated on a laptop 2026 → human brain cells play DOOM A GPU needs ~700W to run an LLM. The brain runs the whole show on 20W. We're spending trillions on building the next giant AI training computer but what if the solution to our energy needs was just copying the technology already running in our heads?

Josh Kale

136,752 次观看 • 6 个月前

For the first time ever, a fruit fly brain has been trained to launch a memecoin. Not "AI inspired by a brain" — the real connectome. 165,122 neurons, 10,228,000 synaptic connections, every one traced from an actual male Drosophila by electron microscopy. Janelia FlyEM + Google Research, released CC-BY. How it works: Screenshots of the live launchpad go in through 892 retinotopic hex columns into L1 and L2 — the neurons sitting directly behind a fly's photoreceptors. All 165,122 integrate. The cursor comes back out of the descending neurons a fly actually walks with: DNa02's left-right asymmetry steers, DNa01 drives forward, DNp09 clicks. The wiring is never trained. Only synaptic gains — you don't get to invent connections the fly doesn't have. Proof its eye is doing real work: in light mode it filled 0 of 3 form fields. In dark mode, 2 of 3. Its retina is a luminance map, so invert the contrast and it goes blind. And the honest split: the fly types the description and the ticker. The rig does the name, the pair and the tax. CA: 0x4eb990547bce4a982432ca88cf5fae7eed1a2d35

For the first time ever, a fruit fly brain has been trained to launch a memecoin. Not "AI inspired by a brain" — the real connectome. 165,122 neurons, 10,228,000 synaptic connections, every one traced from an actual male Drosophila by electron microscopy. Janelia FlyEM + Google Research, released CC-BY. How it works: Screenshots of the live launchpad go in through 892 retinotopic hex columns into L1 and L2 — the neurons sitting directly behind a fly's photoreceptors. All 165,122 integrate. The cursor comes back out of the descending neurons a fly actually walks with: DNa02's left-right asymmetry steers, DNa01 drives forward, DNp09 clicks. The wiring is never trained. Only synaptic gains — you don't get to invent connections the fly doesn't have. Proof its eye is doing real work: in light mode it filled 0 of 3 form fields. In dark mode, 2 of 3. Its retina is a luminance map, so invert the contrast and it goes blind. And the honest split: the fly types the description and the ticker. The rig does the name, the pair and the tax. CA: 0x4eb990547bce4a982432ca88cf5fae7eed1a2d35

Fruit fly dev

735,266 次观看 • 3 天前

Zebrafish NN It’s pretty amazing to learn that efforts to map the fruit FLY connectome (brain synapses) were successful and its amazing to see the digital fly brain successfully complete a whole series of tasks, including complex navigation of open worlds. The fruit fly is 160,000 neurons and 10^7 synapses. Teams are currently doing the same thing with a zebrafish which has a similar scale neuron count but 10x more synapses. Fly was 100TB raw data and Zebrafish is 200TB, so about 2x the raw data. For context a rodent is 70m neurons and 10^11 synapses. Rodents will come later. But this method looks like it creates totally outsized results with absolutely miniscule models. Zebrafish NN is a vertebrae connectome, it has much of the same basic structure as other vertebrae, unlike FLY connectome. We are just about used to LLMs and coding, but AI is really just beginning and there is a lot more, and a lot weirder stuff coming down the pipe. These connectomes have already shown to be incredibly resilient, you can blind their sensors and injure their outputs and they still succeed. They are incredibly compact. A whole lot of inanimate objects are going to get complete autonomy, totally offline, air gapped autonomy. They will be delivering pizzas and fighting wars. Connectomics is an opposite approach to LLMs but you can of course use LLMs to help develop connectomes. It’s amazing that you can take a biologically evolved brain, map it, produce a digital twin, and then run it at machine speed. Imagine a human brain accelerated from 100Hz neuron fires to 3,200,000,000Hz that a typical CPU runs at. That’s 30 million times faster. But would need 1-2 exabytes to map. Anyway “Zebrafish” is next.

Zebrafish NN It’s pretty amazing to learn that efforts to map the fruit FLY connectome (brain synapses) were successful and its amazing to see the digital fly brain successfully complete a whole series of tasks, including complex navigation of open worlds. The fruit fly is 160,000 neurons and 10^7 synapses. Teams are currently doing the same thing with a zebrafish which has a similar scale neuron count but 10x more synapses. Fly was 100TB raw data and Zebrafish is 200TB, so about 2x the raw data. For context a rodent is 70m neurons and 10^11 synapses. Rodents will come later. But this method looks like it creates totally outsized results with absolutely miniscule models. Zebrafish NN is a vertebrae connectome, it has much of the same basic structure as other vertebrae, unlike FLY connectome. We are just about used to LLMs and coding, but AI is really just beginning and there is a lot more, and a lot weirder stuff coming down the pipe. These connectomes have already shown to be incredibly resilient, you can blind their sensors and injure their outputs and they still succeed. They are incredibly compact. A whole lot of inanimate objects are going to get complete autonomy, totally offline, air gapped autonomy. They will be delivering pizzas and fighting wars. Connectomics is an opposite approach to LLMs but you can of course use LLMs to help develop connectomes. It’s amazing that you can take a biologically evolved brain, map it, produce a digital twin, and then run it at machine speed. Imagine a human brain accelerated from 100Hz neuron fires to 3,200,000,000Hz that a typical CPU runs at. That’s 30 million times faster. But would need 1-2 exabytes to map. Anyway “Zebrafish” is next.

Object Zero

203,357 次观看 • 12 小时前

There's a fruit fly walking around right now that was never born. eon just released a video where they took a real fly's connectome — the wiring diagram of its brain — and simulated it. Dropped it into a virtual body. It started walking. Grooming. Feeding. Doing what flies do. Nobody taught it to walk. No training data, no gradient descent toward fly-like behavior. This is the opposite of how AI works. They rebuilt the mind from the inside, neuron by neuron, and behavior just... emerged. It's the first time a biological organism has been recreated not by modeling what it does, but by modeling what it is. A human brain is 6 OOM more neurons. That's a scaling problem, something we've gotten very good at solving. So what happens when we have a working copy of the human mind?

There's a fruit fly walking around right now that was never born. eon just released a video where they took a real fly's connectome — the wiring diagram of its brain — and simulated it. Dropped it into a virtual body. It started walking. Grooming. Feeding. Doing what flies do. Nobody taught it to walk. No training data, no gradient descent toward fly-like behavior. This is the opposite of how AI works. They rebuilt the mind from the inside, neuron by neuron, and behavior just... emerged. It's the first time a biological organism has been recreated not by modeling what it does, but by modeling what it is. A human brain is 6 OOM more neurons. That's a scaling problem, something we've gotten very good at solving. So what happens when we have a working copy of the human mind?

hattie

9,582,695 次观看 • 6 个月前

EINSTEIN’S BRAIN AND THE NEURONS THAT TAUGHT THEMSELVES PONG When Einstein died, scientists studied his brain to see what set it apart. Most of it looked ordinary, except for one thing: the folds. His brain had far more of them than average. More folds meant more surface area, and more surface area meant more neurons. The difference was concentrated in his parietal lobes, the regions tied to math and spatial reasoning. Genius left a trace, but it was subtle, hidden in structure rather than size. Decades later, another mystery arrived. In 2022, researchers at Cortical Labs grew human neurons in a Petri dish and wired them to a chip running the game Pong. There was no human player, no brain, and no mind, just cells, signals, and feedback. Yet somehow, the neurons learned. The longer they played, the better they became. That forced an uncomfortable question: how does a group of disconnected neurons know how to play a game it has never seen. The answer is still unclear. Einstein’s brain revealed how intelligence can be built. Source: Joe Rogan

EINSTEIN’S BRAIN AND THE NEURONS THAT TAUGHT THEMSELVES PONG When Einstein died, scientists studied his brain to see what set it apart. Most of it looked ordinary, except for one thing: the folds. His brain had far more of them than average. More folds meant more surface area, and more surface area meant more neurons. The difference was concentrated in his parietal lobes, the regions tied to math and spatial reasoning. Genius left a trace, but it was subtle, hidden in structure rather than size. Decades later, another mystery arrived. In 2022, researchers at Cortical Labs grew human neurons in a Petri dish and wired them to a chip running the game Pong. There was no human player, no brain, and no mind, just cells, signals, and feedback. Yet somehow, the neurons learned. The longer they played, the better they became. That forced an uncomfortable question: how does a group of disconnected neurons know how to play a game it has never seen. The answer is still unclear. Einstein’s brain revealed how intelligence can be built. Source: Joe Rogan

Mario Nawfal

86,839 次观看 • 9 个月前

The fruit fly's brain is superior to the human brain, and GPT-6 ASTRA has proven this. And the internet went crazy. Most AI models learn by training on massive datasets, running billions of computations to acquire new skills. But researchers just demonstrated a radically different approach: No giant dataset. No traditional training. Just take the physical wiring of a biological brain and simulate it in a computer. The digital fruit fly reached ~91% behavioral accuracy using only 4 things: The complete neural connectivity map Synaptic connection counts as connection weights Excitatory vs inhibitory neuron types A simple Leaky Integrate-and-Fire model The wild part? The wiring itself may contain much more of the brain’s “code” than we thought. From tens of thousands of neurons in a fly → millions in a mouse → ~86 billion in a human. If this scales, whole-brain simulation could become one of the biggest frontiers in AI. The era of biologically inspired intelligence may have just begun

The fruit fly's brain is superior to the human brain, and GPT-6 ASTRA has proven this. And the internet went crazy. Most AI models learn by training on massive datasets, running billions of computations to acquire new skills. But researchers just demonstrated a radically different approach: No giant dataset. No traditional training. Just take the physical wiring of a biological brain and simulate it in a computer. The digital fruit fly reached ~91% behavioral accuracy using only 4 things: The complete neural connectivity map Synaptic connection counts as connection weights Excitatory vs inhibitory neuron types A simple Leaky Integrate-and-Fire model The wild part? The wiring itself may contain much more of the brain’s “code” than we thought. From tens of thousands of neurons in a fly → millions in a mouse → ~86 billion in a human. If this scales, whole-brain simulation could become one of the biggest frontiers in AI. The era of biologically inspired intelligence may have just begun

Zentrix⌚️

89,192 次观看 • 1 天前

Dyno Therapeutics co-founder Sam Sinai on how his team cracked the blood-brain barrier well enough to reach 50% of neurons with a single injection: "For brain specifically, the brain has this extra layer of defense called the blood brain barrier. It's really put there to prevent anything to get in." "What we have done is actually in primates we can show that we can get up more than 50% of neurons, through a systemic injection." "You're just injecting in the veins, and then the virus actually makes its way into the brain." "Neurons are a primary target, but it could be in some cases glial cells, depending on the disease. Solving pan brain, meaning all of brain delivery, is a key objective there."

Dyno Therapeutics co-founder Sam Sinai on how his team cracked the blood-brain barrier well enough to reach 50% of neurons with a single injection: "For brain specifically, the brain has this extra layer of defense called the blood brain barrier. It's really put there to prevent anything to get in." "What we have done is actually in primates we can show that we can get up more than 50% of neurons, through a systemic injection." "You're just injecting in the veins, and then the virus actually makes its way into the brain." "Neurons are a primary target, but it could be in some cases glial cells, depending on the disease. Solving pan brain, meaning all of brain delivery, is a key objective there."

MTS

21,041 次观看 • 2 个月前

The full video from Cortical Labs explaining how they put 200,000 brain cells onto a silicon chip and had it play Doom is wild: “When a demon appears on the left of the screen, specific electrodes stimulate the sensory area of the neural culture on the left side. The neurons react to that stimulation. We then listen to their response, the spikes, and interpret that activity as motor commands. If the neurons fire in a specific pattern, the Doom guy shoots.”

The full video from Cortical Labs explaining how they put 200,000 brain cells onto a silicon chip and had it play Doom is wild: “When a demon appears on the left of the screen, specific electrodes stimulate the sensory area of the neural culture on the left side. The neurons react to that stimulation. We then listen to their response, the spikes, and interpret that activity as motor commands. If the neurons fire in a specific pattern, the Doom guy shoots.”

Trung Phan

233,872 次观看 • 6 个月前

It's brain versus AI time. Here's our full episode with Sebastian Seung. He's started a new company to reverse engineer the brain and master the intelligence created by nature with the hopes of informing the intelligence we've created with machines. Sebastian has done pioneering AI and neuroscience work and is now blending the two to make a digital brain. Mostly, he's fun to listen to. The Core Memory podcast is made by possible by the intelligent finance powerhouse Brex and the people who back the biggest ideas @e1ventures. Timestamps 00:00:00 - Intro 00:01:42 - Who is Sebastian Seung? 00:03:23 - What is a Connectome? 00:07:08 - The Connectome Winter 00:09:08 - Diamond Knives & AI 00:12:10 - When Will We Map the Human Brain? 00:18:09 - The "Brain Crystal" & Visual Neurons 00:26:31 - New Startup 00:33:55 - Simulating a Mind in Software 00:37:40 - Biology vs. Nvidia 00:44:04 - Is AI a Religious Quest? 00:50:05 - Mind Uploading & Transhumanism 00:59:26 - Brain-Computer Interfaces 01:06:41 - From Physics to Neuroscience 01:12:22 - Will Uploads Be Conscious? 01:19:37 - Neuromorphic Chips & Future Robotics

It's brain versus AI time. Here's our full episode with Sebastian Seung. He's started a new company to reverse engineer the brain and master the intelligence created by nature with the hopes of informing the intelligence we've created with machines. Sebastian has done pioneering AI and neuroscience work and is now blending the two to make a digital brain. Mostly, he's fun to listen to. The Core Memory podcast is made by possible by the intelligent finance powerhouse Brex and the people who back the biggest ideas @e1ventures. Timestamps 00:00:00 - Intro 00:01:42 - Who is Sebastian Seung? 00:03:23 - What is a Connectome? 00:07:08 - The Connectome Winter 00:09:08 - Diamond Knives & AI 00:12:10 - When Will We Map the Human Brain? 00:18:09 - The "Brain Crystal" & Visual Neurons 00:26:31 - New Startup 00:33:55 - Simulating a Mind in Software 00:37:40 - Biology vs. Nvidia 00:44:04 - Is AI a Religious Quest? 00:50:05 - Mind Uploading & Transhumanism 00:59:26 - Brain-Computer Interfaces 01:06:41 - From Physics to Neuroscience 01:12:22 - Will Uploads Be Conscious? 01:19:37 - Neuromorphic Chips & Future Robotics

Ashlee Vance

39,238 次观看 • 8 个月前

🚨Nobody wants to hear this but it needs to be said. > Scientists just copied a fruit fly's brain into a computer. Neuron by neuron. No training data. No machine learning. > It woke up and started walking. No one taught it to walk. No one trained it. No gradient descent. It just... knew what to do. A fruit fly brain has 140,000 neurons. A human brain is around 86,000,000,000. And we've gotten really good at scaling. Meaning with this proof, the first digital human won't be built by OpenAI. It'll be copied from someone who's already alive. Your consciousness is software. And someone just proved it can be copy-pasted. Start your day with that.

🚨Nobody wants to hear this but it needs to be said. > Scientists just copied a fruit fly's brain into a computer. Neuron by neuron. No training data. No machine learning. > It woke up and started walking. No one taught it to walk. No one trained it. No gradient descent. It just... knew what to do. A fruit fly brain has 140,000 neurons. A human brain is around 86,000,000,000. And we've gotten really good at scaling. Meaning with this proof, the first digital human won't be built by OpenAI. It'll be copied from someone who's already alive. Your consciousness is software. And someone just proved it can be copy-pasted. Start your day with that.

Tuki

6,144,191 次观看 • 6 个月前

Physicist Michio Kaku explains, the future of space travel won't rely on dangerous booster rockets, but on a "connectome"—a complete digital map containing every memory and neural pathway of the human brain. By digitizing our minds and transmitting them via laser beam, we could shoot our consciousness to the Moon in a single second or reach Mars in just 20 minutes; completely bypassing the hazards of weightlessness and radiation to explore the cosmos at the speed of light.

Physicist Michio Kaku explains, the future of space travel won't rely on dangerous booster rockets, but on a "connectome"—a complete digital map containing every memory and neural pathway of the human brain. By digitizing our minds and transmitting them via laser beam, we could shoot our consciousness to the Moon in a single second or reach Mars in just 20 minutes; completely bypassing the hazards of weightlessness and radiation to explore the cosmos at the speed of light.

Cosmos Archive

13,790 次观看 • 5 个月前

Want to see a baby make 60 million neural connections? 🧠 Look no further than this fantastic video. As they bide a little time in the car, our hero and his dad engage in this lovely “serve and return” interaction. And it’s hard to tell which of them is loving it more. If you’re a new parent or grandparent, know that these face-to-face, back-and-forth interactions are one of the very best ways to light up your baby’s developing brain. At birth your baby’s brain is home to up to 100 billion neural (nerve) cells - but depends heavily on early experiences and interactions to help create the connections between them that will go on to undergird language and more sophisticated forms of cognition. During the earliest months of life researchers estimate that these neural connections occur at a rate of one million per second - meaning that 60 million or more occur over the course of this beautiful one minute conversation. Talk, talk, talk to your baby. The payoff will be huge. This loving father and son duo was shared to TT by smileybunch.

Want to see a baby make 60 million neural connections? 🧠 Look no further than this fantastic video. As they bide a little time in the car, our hero and his dad engage in this lovely “serve and return” interaction. And it’s hard to tell which of them is loving it more. If you’re a new parent or grandparent, know that these face-to-face, back-and-forth interactions are one of the very best ways to light up your baby’s developing brain. At birth your baby’s brain is home to up to 100 billion neural (nerve) cells - but depends heavily on early experiences and interactions to help create the connections between them that will go on to undergird language and more sophisticated forms of cognition. During the earliest months of life researchers estimate that these neural connections occur at a rate of one million per second - meaning that 60 million or more occur over the course of this beautiful one minute conversation. Talk, talk, talk to your baby. The payoff will be huge. This loving father and son duo was shared to TT by smileybunch.

Dan Wuori

588,885 次观看 • 2 年前

Scientists mapped a piece of brain the size of half a grain of rice. One-millionth the size of the human brain. It took them a year and over 1.4 million gigabytes to scan it. They found over 57,000 cells, 150 million synapses, and even some new structures they didn't know existed. Mapping the entire human brain in this level of detail would require all the data storage generated on Earth in a year + a 140-acre data center. But the human brain itself can hold up to ~2.5 million gigabytes of information - enough for ~3 million hours of HD video or 342 years of continuous viewing. It can process roughly 10 quadrillion calculations per second - enough processing power to run over 4,000 high-end gaming PCs all operating at peak ability. And it only runs on the amount of power needed for a single dim light bulb. No technology even comes close to doing what the brain can do. The more we learn about biology, the more complex it becomes. This is God's Glory on display.

Scientists mapped a piece of brain the size of half a grain of rice. One-millionth the size of the human brain. It took them a year and over 1.4 million gigabytes to scan it. They found over 57,000 cells, 150 million synapses, and even some new structures they didn't know existed. Mapping the entire human brain in this level of detail would require all the data storage generated on Earth in a year + a 140-acre data center. But the human brain itself can hold up to ~2.5 million gigabytes of information - enough for ~3 million hours of HD video or 342 years of continuous viewing. It can process roughly 10 quadrillion calculations per second - enough processing power to run over 4,000 high-end gaming PCs all operating at peak ability. And it only runs on the amount of power needed for a single dim light bulb. No technology even comes close to doing what the brain can do. The more we learn about biology, the more complex it becomes. This is God's Glory on display.

Divinely Designed

590,323 次观看 • 3 个月前