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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 просмотров • 1 год назад •via X (Twitter)

Комментарии: 12

Фото профиля Neuralink
Neuralink1 год назад

🧵Deep learning simulation of brain activity

Фото профиля Neuralink
Neuralink1 год назад

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.

Фото профиля Neuralink
Neuralink1 год назад

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.

Фото профиля Neuralink
Neuralink1 год назад

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:

Фото профиля Neuralink
Neuralink1 год назад

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?

Фото профиля Neuralink
Neuralink1 год назад

If you want to answer this question, apply here:

Фото профиля HUDI
HUDI1 год назад

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Фото профиля Ninus
Ninus1 год назад

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

Фото профиля High Jack
High Jack1 год назад

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

Фото профиля Jaitan Martini
Jaitan Martini1 год назад

Wow

Фото профиля Heather Mascoe
Heather Mascoe1 год назад

EEG vs. EKG Brain vs. Heart 🧠 vs. ♥️

Фото профиля Nettie Travelling
Nettie Travelling1 год назад

👍

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