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tribe-v2-neuroscience

In-silico neuroscience experiments using Meta's TRIBE v2 (TRansformer for In-silico Brain Experiments). Predicts fMRI cortical responses to video, audio, and text without brain scanners. Use when: (1) Designing and running virtual neuroscience experiments, (2) Predicting brain responses to stimuli, (3) Replicating classic neuroscience paradigms computationally, (4) Mapping which stimuli activate s

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Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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TRIBE v2 Neuroscience

In-silico neuroscience using Meta FAIR's TRIBE v2 — predict fMRI cortical responses to video, audio, or text using a single pretrained transformer. Run experiments on any hardware, without a scanner.

What TRIBE v2 Is

TRansformer for In-silico Brain Experiments (v2) is a brain encoding model released by Meta FAIR on March 26, 2026. It is not a language model — it predicts fMRI BOLD responses on the fsaverage5 cortical surface (~20,000 vertices per hemisphere)

[Description truncada. Veja o README completo no GitHub.]

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