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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 görüntüleme • 1 yıl önce •via X (Twitter)

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Neuralink1 yıl önce

🧵Deep learning simulation of brain activity

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Neuralink1 yıl önce

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.

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Neuralink1 yıl önce

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.

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Neuralink1 yıl önce

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:

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Neuralink1 yıl önce

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?

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Neuralink1 yıl önce

If you want to answer this question, apply here:

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HUDI1 yıl önce

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Ninus profil fotoğrafı
Ninus1 yıl önce

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

High Jack profil fotoğrafı
High Jack1 yıl önce

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

Jaitan Martini profil fotoğrafı
Jaitan Martini1 yıl önce

Wow

Heather Mascoe profil fotoğrafı
Heather Mascoe1 yıl önce

EEG vs. EKG Brain vs. Heart 🧠 vs. ♥️

Nettie Travelling profil fotoğrafı
Nettie Travelling1 yıl önce

👍

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