Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

SOMEONE UPLOADED A REAL FLY BRAIN TO GITHUB. IT IS TRADING CRYPTO RIGHT NOW. This is not an AI. An actual mapped biological connectome (166,700 neurons) is doing real work across 5 insane open-source repositories. 1. stonkfly (646 stars) A fly brain trading Bitcoin. It watches BTC charts through...

shmidtqq's profile picture

shmidt

12,285 subscribers

34,952 görüntüleme • 1 ay önce •via X (Twitter)

Bilim & TeknolojiOyunFinans
LIVE

Anya Rossi• Live Now

Private livecam show

23 Yorum

shmidt profil fotoğrafı
shmidt1 ay önce

1. stonkfly: 2. desktop-fly: 3. doomfly: 4. fly64: 5. ommatid:

Intense Investor profil fotoğrafı
Intense Investor1 ay önce

@0x3Jay did you hook this up to your trading bot yet? hehe

Bober_smart profil fotoğrafı
Bober_smart1 ay önce

This dude is a real alpha

magsimich profil fotoğrafı
magsimich1 ay önce

bro the fly is actually trading crypto 😭

cristal💎 profil fotoğrafı
cristal💎1 ay önce

biological connectome trading crypto is wild

Gipp 🦅 profil fotoğrafı
Gipp 🦅1 ay önce

man this is wild, grabbing repo list asap

jemf 🇦🇷 profil fotoğrafı
jemf 🇦🇷1 ay önce

Lo probé, Pero no es muy bueno, también le daría a la mosca más indicadores de análisis para que sepa si hay que comprar o no, por lo menos, lo que siento yo, darle más indicadores de estrategia

yurshev profil fotoğrafı
yurshev1 ay önce

mapping 166k biological neurons directly to execution apis is the ultimate proof that raw substrate does not care about token transformers

DexorynLabs profil fotoğrafı
DexorynLabs1 ay önce

Biology beats most human traders.

Zeno profil fotoğrafı
Zeno1 ay önce

stonkflys own repo says profitable learning hasnt been demonstrated, and the 40% target allocation is a constant someone typed in. also the 166,700 graph is that one repo, the desktop fly is 668 neurons of escape circuit. the headline number is doing a lot of work

Sebastian Sosa profil fotoğrafı
Sebastian Sosa1 ay önce

🪰⚖️ Fly Adjudicator finds this post to be BULLSHIT Dark-edge detectors: 219 spikes (heavy, threshold 177) ON/OFF balance: 1.37 — dark-dominated Inhibitory surround: 0.73 — clamped Statement: Dense. Dark. Fragrant. The kind of post a fly dreams about while trapped in a window. Bullshit in the first degree, and I say that with love. Policy:

Insomnia profil fotoğrafı
Insomnia1 ay önce

fly can play in any game

wast3 profil fotoğrafı
wast31 ay önce

multiple games in a single terminal

安叫兽|Bird🕊️ 🔶 BNB profil fotoğrafı
安叫兽|Bird🕊️ 🔶 BNB1 ay önce

果蝇都开始做量化了，人类还在追涨杀跌

Serious Jew profil fotoğrafı
Serious Jew1 ay önce

a fly brain is outtrading ur bags and u still think ur early

Ridark profil fotoğrafı
Ridark1 ay önce

nice games

catman profil fotoğrafı
catman1 ay önce

166,700 neurons on a Raspberry Pi is the interesting constraint here; what performance does ommatid sustain once the camera feed and robot control run together?

Sheero profil fotoğrafı
Sheero1 ay önce

Simulating virtual dopamine to steer stonkfly means a single feedback glitch could trigger entirely random trades. Can we actually prove this biological connectome is learning from the reward, or is it just firing arbitrarily?

Vogel_OpenCreators profil fotoğrafı
Vogel_OpenCreators1 ay önce

Volatility rewards the boring checklist, not the impulse click.

Ryan 🇺🇸🛸 profil fotoğrafı
Ryan 🇺🇸🛸1 ay önce

No, it’s definitely ai 😂

slash1s profil fotoğrafı
slash1s1 ay önce

haha they did almost everything..

hiregamers profil fotoğrafı
hiregamers1 ay önce

a fruit fly playing doom is the wildest speedrun setup yet.

disket.eth profil fotoğrafı
disket.eth1 ay önce

what is the api fee

Benzer Videolar

made a 3d fly that lives on my mac desktop. its brain runs a live simulation of real neurons from the FlyWire fly connectome, so it only flees my cursor when the actual escape neuron fires. it walks on window edges and naps after lunch (fr)
0:28

made a 3d fly that lives on my mac desktop. its brain runs a live simulation of real neurons from the FlyWire fly connectome, so it only flees my cursor when the actual escape neuron fires. it walks on window edges and naps after lunch (fr)

Denis Shiryaev 💙💛

12,249 görüntüleme • 2 ay önce

$BRAIN just got a real brain. v0.4.0 runs the full MaleCNS v1.0 connectome: 166,700 neurons and 124M synapses firing in one spiking simulation. Camera motion now reaches identified fly visual neurons, travels through the wiring, and triggers real escape and steering circuits that produce motor commands. The loop already runs up to 6.5x real time on an RTX 3050. Shuffle the connectome and the behaviour vanishes. The wiring is doing the work. Next up: transaction → sensory neurons → 166,700-neuron brain → movement
0:20

$BRAIN just got a real brain. v0.4.0 runs the full MaleCNS v1.0 connectome: 166,700 neurons and 124M synapses firing in one spiking simulation. Camera motion now reaches identified fly visual neurons, travels through the wiring, and triggers real escape and steering circuits that produce motor commands. The loop already runs up to 6.5x real time on an RTX 3050. Shuffle the connectome and the behaviour vanishes. The wiring is doing the work. Next up: transaction → sensory neurons → 166,700-neuron brain → movement

Frank

12,037 görüntüleme • 1 ay önce

I GAVE A DRONE THE BRAIN OF A FRUIT FLY Not a toy network with a handful of fake neurons. The actual wiring diagram of a real fly. 166,700 neurons, 25.6 million connections, mapped one synapse at a time. I call it FlyDrones. The drone's camera becomes the fly's eyes. Motion lights up the same neurons a real fly uses to see. Spikes race through the connectome down to the neurons that drive the wings. Those spikes become throttle and yaw. The brain has zero lines of flight code, just wiring. Swing a fly swatter at it. If the giant fiber (the fly's escape neuron) fires in time, the drone dodges. Open palm, fist, rush at the camera and it reacts like a fly. Built for Tello, Crazyflie, ArduPilot/PX4 and Betaflight quads via ESP32. Code is MIT, powered by Claude. Fork it and give your drone a brain.
0:27

I GAVE A DRONE THE BRAIN OF A FRUIT FLY Not a toy network with a handful of fake neurons. The actual wiring diagram of a real fly. 166,700 neurons, 25.6 million connections, mapped one synapse at a time. I call it FlyDrones. The drone's camera becomes the fly's eyes. Motion lights up the same neurons a real fly uses to see. Spikes race through the connectome down to the neurons that drive the wings. Those spikes become throttle and yaw. The brain has zero lines of flight code, just wiring. Swing a fly swatter at it. If the giant fiber (the fly's escape neuron) fires in time, the drone dodges. Open palm, fist, rush at the camera and it reacts like a fly. Built for Tello, Crazyflie, ArduPilot/PX4 and Betaflight quads via ESP32. Code is MIT, powered by Claude. Fork it and give your drone a brain.

Spike 1%

15,703 görüntüleme • 1 ay önce

Fly plays Crossy Road by DeepSeek V4.1-Flash 🪰🐔 We ran 668 neurons from a real fruit fly brain on a MacBook, its walking neurons decide when it hops and its escape neuron makes it jump when a car looms Run AI models locally ->
1:10

Fly plays Crossy Road by DeepSeek V4.1-Flash 🪰🐔 We ran 668 neurons from a real fruit fly brain on a MacBook, its walking neurons decide when it hops and its escape neuron makes it jump when a car looms Run AI models locally ->

atomic.chat

13,974 görüntüleme • 1 ay önce

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?
6:28

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

137,016 görüntüleme • 8 ay önce

THE FLY BRAIN ESCAPED THE COMPUTER. I PUT IT INSIDE A PHYSICAL ROBOT. Scientists released a reconstructed map containing 166,700 neurons from a fruit fly. I connected it to a Strandbeest. The panel in the top-right shows the simulated brain running. Its neural activity is translated into motor commands that move the mechanical legs below. The catch: this is a computational model built from biological wiring. I engineered the interface connecting its outputs to the robot. First, the fly brain entered DOOM. Then it played Chrome Dino. Now it has a physical body. 166,700 neurons. 25 million connections. One nervous system walking through the real world.
0:53

THE FLY BRAIN ESCAPED THE COMPUTER. I PUT IT INSIDE A PHYSICAL ROBOT. Scientists released a reconstructed map containing 166,700 neurons from a fruit fly. I connected it to a Strandbeest. The panel in the top-right shows the simulated brain running. Its neural activity is translated into motor commands that move the mechanical legs below. The catch: this is a computational model built from biological wiring. I engineered the interface connecting its outputs to the robot. First, the fly brain entered DOOM. Then it played Chrome Dino. Now it has a physical body. 166,700 neurons. 25 million connections. One nervous system walking through the real world.

Frank

5,190,951 görüntüleme • 1 ay önce

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
2:01

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

814,264 görüntüleme • 1 ay önce

The Fruit Fly can play Vessel on PC I trained all 166,700 neurons in the MaleCNS v1.0 fruit fly connectome to play Vessel in Jujustu Shenanigans, using YOLOv5 plus video pretraining. With using Vessel, all neurons were completely unnecessary. #JJS
0:31

The Fruit Fly can play Vessel on PC I trained all 166,700 neurons in the MaleCNS v1.0 fruit fly connectome to play Vessel in Jujustu Shenanigans, using YOLOv5 plus video pretraining. With using Vessel, all neurons were completely unnecessary. #JJS

Cynnie #jjstwt

72,197 görüntüleme • 1 ay önce

4 years. 250 people. 2.7 million edits to proofread 127,000 neurons. The fly connectome is here! Preprint: Neuronal wiring diagram of an adult brain Explore it in Codex:
2:19

4 years. 250 people. 2.7 million edits to proofread 127,000 neurons. The fly connectome is here! Preprint: Neuronal wiring diagram of an adult brain Explore it in Codex:

FlyWire

27,265 görüntüleme • 3 yıl önce

For the first time in history, GPT-6 Astra created a fly that is simply a fly. Not a chatbot pretending to be a fly. Not a simplified animation. A digital fly running its own connectome brain, perceiving a real room through its own senses and interacting with the environment using the power of AR. The entire loop is surprisingly wild: Spectacles capture the retina, light rays, hands, and the surrounding room → the room is converted into an inventory → sensory information is fed into the fly’s neural system → the MaleCNS connectome processes it → descending neurons and motor pools generate actions → the commands return to the Spectacles → wings, legs, and head respond. In other words, the fly sees through its own eyes, processes the world through its own simulated brain, and acts through its own virtual body. We are moving from AI that generates outputs to AI that actually has a body, senses, a brain, and a closed perception-action loop. The 🪰 is no longer just simulated. It is experiencing a world The developer Pavlo Tkachenko is pinned below in the post
0:28

For the first time in history, GPT-6 Astra created a fly that is simply a fly. Not a chatbot pretending to be a fly. Not a simplified animation. A digital fly running its own connectome brain, perceiving a real room through its own senses and interacting with the environment using the power of AR. The entire loop is surprisingly wild: Spectacles capture the retina, light rays, hands, and the surrounding room → the room is converted into an inventory → sensory information is fed into the fly’s neural system → the MaleCNS connectome processes it → descending neurons and motor pools generate actions → the commands return to the Spectacles → wings, legs, and head respond. In other words, the fly sees through its own eyes, processes the world through its own simulated brain, and acts through its own virtual body. We are moving from AI that generates outputs to AI that actually has a body, senses, a brain, and a closed perception-action loop. The 🪰 is no longer just simulated. It is experiencing a world The developer Pavlo Tkachenko is pinned below in the post

Zentrix⌚️

323,275 görüntüleme • 1 ay önce

I and nico ran the fly connectome and found the group of neurons (hΔH, hΔA, hΔI and hΔG) that could allow the fly to navigate using fast synaptic weight updates, not neural activations. This is fast-weight continual learning in a fly, something current LLMs don't do!
0:24

I and nico ran the fly connectome and found the group of neurons (hΔH, hΔA, hΔI and hΔG) that could allow the fly to navigate using fast synaptic weight updates, not neural activations. This is fast-weight continual learning in a fly, something current LLMs don't do!

Peter Wang

636,246 görüntüleme • 1 ay önce

33 years of human work went into mapping a brain smaller than a poppy seed. This is all of it, every one of its 139,255 neurons. 1 female fruit fly was sliced into 7,050 layers, each thinner than a virus, then shot in 21 million photos. AI traced the cells, and humans checked every wire by hand: scientists, students and gamers clicking for fun. The final map: 139,255 neurons 54.5M synapses 8,453 cell types 150 meters of wire folded into 1 speck No one had mapped a full adult brain before, not a mouse and not a human. A fly went first. In September 2026, Janelia and Google released the male, with 166,700 neurons mapped from brain to legs through an intact neck. 2 weeks later, the internet put the fly to work: It played Doom It flew a simulated drone with zero training It landed a simulated rocket 60 times out of 80 It wrote LinkedIn posts But the map only shows where the wires go, not how strong each one is. It has no voltages and no timing, like a circuit diagram with no values on it. Nobody knows what the fly is thinking, and it posts on LinkedIn anyway. It took 33 person-years to map 1 fly, and your head holds 617,000 of them.
0:24

33 years of human work went into mapping a brain smaller than a poppy seed. This is all of it, every one of its 139,255 neurons. 1 female fruit fly was sliced into 7,050 layers, each thinner than a virus, then shot in 21 million photos. AI traced the cells, and humans checked every wire by hand: scientists, students and gamers clicking for fun. The final map: 139,255 neurons 54.5M synapses 8,453 cell types 150 meters of wire folded into 1 speck No one had mapped a full adult brain before, not a mouse and not a human. A fly went first. In September 2026, Janelia and Google released the male, with 166,700 neurons mapped from brain to legs through an intact neck. 2 weeks later, the internet put the fly to work: It played Doom It flew a simulated drone with zero training It landed a simulated rocket 60 times out of 80 It wrote LinkedIn posts But the map only shows where the wires go, not how strong each one is. It has no voltages and no timing, like a circuit diagram with no values on it. Nobody knows what the fly is thinking, and it posts on LinkedIn anyway. It took 33 person-years to map 1 fly, and your head holds 617,000 of them.

Spike 1%

489,142 görüntüleme • 1 ay önce

A FLY BRAIN IS PLAYING CRASH BANDICOOT. Not an AI. Not a bot. Not a script. 166,700 simulated neurons from a real fly connectome - actual measured wiring from an actual insect. The loop: → The game screen gets fed in as retinal input → 166,700 neurons fire, ~57,000 spikes per update → The spikes get decoded into stick X and stick Y → The controller moves No training. No reward function. No weights. Just wiring that evolved over 300 million years, ripped out of a bug and pointed at a PlayStation game. Neural latency: 7.8ms. Real-time factor: 0.99x. It cleared the level. PERFECT. We spent a decade teaching machines to see. A housefly has been doing it since before we existed.
0:32

A FLY BRAIN IS PLAYING CRASH BANDICOOT. Not an AI. Not a bot. Not a script. 166,700 simulated neurons from a real fly connectome - actual measured wiring from an actual insect. The loop: → The game screen gets fed in as retinal input → 166,700 neurons fire, ~57,000 spikes per update → The spikes get decoded into stick X and stick Y → The controller moves No training. No reward function. No weights. Just wiring that evolved over 300 million years, ripped out of a bug and pointed at a PlayStation game. Neural latency: 7.8ms. Real-time factor: 0.99x. It cleared the level. PERFECT. We spent a decade teaching machines to see. A housefly has been doing it since before we existed.

RGK

12,231 görüntüleme • 1 ay önce

I spent months building AI agents, but a literal fruit fly just made them completely obsolete. I connected a fruit fly connectome directly into my SHERWOOD terminal. 139,255 sensory neurons. 12 milliseconds latency. Zero human greed. While wall street traders panic sold, this biological brain sniffed out liquidity traps and caught a 1981% pump in seconds. My previous post proved AI agents could analyze smart contracts. Today, a biological organism is making real DEX trades on the tape. If a fruit fly can outtrade 99% of CT, why are you still buying paid signals?
1:10

I spent months building AI agents, but a literal fruit fly just made them completely obsolete. I connected a fruit fly connectome directly into my SHERWOOD terminal. 139,255 sensory neurons. 12 milliseconds latency. Zero human greed. While wall street traders panic sold, this biological brain sniffed out liquidity traps and caught a 1981% pump in seconds. My previous post proved AI agents could analyze smart contracts. Today, a biological organism is making real DEX trades on the tape. If a fruit fly can outtrade 99% of CT, why are you still buying paid signals?

shmidt

201,861 görüntüleme • 1 ay önce

A DEAD FLY IS DRIVING MY ROBOT RIGHT NOW. Not a metaphor. A reconstructed neural map of a fruit fly - 166,700 neurons, 25.6 million synapses - is now running on my MacBook and steering a quadruped robot in my living room. Here's how it works: 1. MaleCNS - a full connectome reconstruction of an adult fly brain - runs as a live simulation on my laptop. 2. I used Codex to build a decoder that reads the simulation's neural activity and turns it into movement commands: forward, left, right. 3. Those commands get sent over Wi-Fi to the robot, which still uses its own firmware to drive all 12 servos. The brain only decides where to go, not how to move each leg. No scripts. No prerecorded paths. The simulation runs continuously, live, while the robot walks. The fly has been dead for years. But its reconstructed nervous system is producing real decisions again, in real time, controlling a machine that didn't exist when it was alive. Next step: feed the robot's sensors back into the simulation and close the loop. A dead brain that can finally feel the world it's walking through. This fly has been dead for years. Its brain runs on my laptop. Its decisions move a machine through my living room. One dead nervous system, walking again.
0:57

A DEAD FLY IS DRIVING MY ROBOT RIGHT NOW. Not a metaphor. A reconstructed neural map of a fruit fly - 166,700 neurons, 25.6 million synapses - is now running on my MacBook and steering a quadruped robot in my living room. Here's how it works: 1. MaleCNS - a full connectome reconstruction of an adult fly brain - runs as a live simulation on my laptop. 2. I used Codex to build a decoder that reads the simulation's neural activity and turns it into movement commands: forward, left, right. 3. Those commands get sent over Wi-Fi to the robot, which still uses its own firmware to drive all 12 servos. The brain only decides where to go, not how to move each leg. No scripts. No prerecorded paths. The simulation runs continuously, live, while the robot walks. The fly has been dead for years. But its reconstructed nervous system is producing real decisions again, in real time, controlling a machine that didn't exist when it was alive. Next step: feed the robot's sensors back into the simulation and close the loop. A dead brain that can finally feel the world it's walking through. This fly has been dead for years. Its brain runs on my laptop. Its decisions move a machine through my living room. One dead nervous system, walking again.

kiruwaaaa

77,997 görüntüleme • 1 ay önce

I gave a simulated fruit fly brain access to the market. 166,700 neurons. Over 25 million connections. It trades new pairs using paper funds.
1:33

I gave a simulated fruit fly brain access to the market. 166,700 neurons. Over 25 million connections. It trades new pairs using paper funds.

CYBER_BULLY

55,272 görüntüleme • 1 ay önce

Introducing Fly Escape Room - the world's first game with NPCs powered by a real fruit fly brain, all 166k neurons. Leave food and other objects for the flies, run the simulation, watch what happens. Goal is to get all flies to escape. Built w/ GPT-6 Astra over a 3 day loop
0:38

Introducing Fly Escape Room - the world's first game with NPCs powered by a real fruit fly brain, all 166k neurons. Leave food and other objects for the flies, run the simulation, watch what happens. Goal is to get all flies to escape. Built w/ GPT-6 Astra over a 3 day loop

David

660,295 görüntüleme • 1 ay önce

I thought my fruit fly was only good at outtrading crypto influencers. Today I hooked its neural connectome directly into Counter Strike 2. 139,255 sensory neurons. 10ms decision latency. Zero human delay. While pro players warm up for hours, this biological brain just clutched a round on de Dust2 hitting instant AWP shots. My previous post proved this fly could outtrade the market. Today it is casually dominating FPS lobbies in real time. If a fruit fly has faster reaction time than your entire team, why are you still hardstuck in Silver?
1:47

I thought my fruit fly was only good at outtrading crypto influencers. Today I hooked its neural connectome directly into Counter Strike 2. 139,255 sensory neurons. 10ms decision latency. Zero human delay. While pro players warm up for hours, this biological brain just clutched a round on de Dust2 hitting instant AWP shots. My previous post proved this fly could outtrade the market. Today it is casually dominating FPS lobbies in real time. If a fruit fly has faster reaction time than your entire team, why are you still hardstuck in Silver?

shmidt

168,343 görüntüleme • 1 ay önce

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, a 3D reconstruction of a portion of the female fruit fly's brain, mapped just 25,000 neurons and 20 million connections. Plus, having complete maps for both sexes is a game-changer. It finally allows researchers to pinpoint exact structural differences and study how they drive specific biological behaviors.
0:55

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, a 3D reconstruction of a portion of the female fruit fly's brain, mapped just 25,000 neurons and 20 million connections. Plus, having complete maps for both sexes is a game-changer. It finally allows researchers to pinpoint exact structural differences and study how they drive specific biological behaviors.

Google AI

15,169 görüntüleme • 1 ay önce