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Using our brain simulator, we’ve trained a reinforcement learning agent to maximize bits per second. Here is the RL policy converting brain data to cursor control in simulation:

18,410 次观看 • 1 年前 •via X (Twitter)

12 条评论

Neuralink 的头像
Neuralink1 年前

🧵Deep learning simulation of brain activity

Neuralink 的头像
Neuralink1 年前

Just like self-driving cars, BCIs are control systems. High-fidelity simulations of motor cortex activity can speed up evaluation of neural decoders and enable optimization methods like reinforcement learning.

Neuralink 的头像
Neuralink1 年前

High performance in simulation is exciting, but what happens when we deploy this neural decoding policy in the real world? If our simulation is accurate, users should achieve similar performance in real-world applications.

Neuralink 的头像
Neuralink1 年前

We’re in the early stages of generative brain modeling, but Pager can already use decoders trained in simulation to acquire targets in the real world:

Neuralink 的头像
Neuralink1 年前

holds the BPS world record of 9.5 bits per second (bps). The challenge now: can this approach scale to 10 bps and beyond for our participants?

Neuralink 的头像
Neuralink1 年前

If you want to answer this question, apply here:

HUDI 的头像
HUDI2 年前

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Ninus 的头像
Ninus1 年前

Is it possible we take a look at the EEG associated with this?

High Jack 的头像
High Jack1 年前

Great advancement! High-fidelity simulations + RL can revolutionize BCIs. Excited to see this evolve!

Jaitan Martini 的头像
Jaitan Martini1 年前

Wow

Heather Mascoe 的头像
Heather Mascoe1 年前

EEG vs. EKG Brain vs. Heart 🧠 vs. ♥️

Nettie Travelling 的头像
Nettie Travelling1 年前

👍

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