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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 views • 1 year ago •via X (Twitter)

12 Comments

Neuralink's profile picture
Neuralink1 year ago

🧵Deep learning simulation of brain activity

Neuralink's profile picture
Neuralink1 year ago

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's profile picture
Neuralink1 year ago

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's profile picture
Neuralink1 year ago

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's profile picture
Neuralink1 year ago

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's profile picture
Neuralink1 year ago

If you want to answer this question, apply here:

HUDI's profile picture
HUDI1 year ago

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Ninus's profile picture
Ninus1 year ago

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

High Jack's profile picture
High Jack1 year ago

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

Jaitan Martini's profile picture
Jaitan Martini1 year ago

Wow

Heather Mascoe's profile picture
Heather Mascoe1 year ago

EEG vs. EKG Brain vs. Heart 🧠 vs. ♥️

Nettie Travelling's profile picture
Nettie Travelling1 year ago

👍

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