2026•Meta FAIR (Jean-Rémi King)
NeuralSet vlatest
NeuralSet is a high-performance Python package for Neuro-AI research by Meta FAIR. It unifies processing of diverse neural recordings (fMRI, EEG, MEG, iEEG, spikes) into PyTorch-ready datasets, with built-in HuggingFace embedding extractors, making it dramatically easier to run brain encoding and decoding experiments at scale.
Unified pipeline for fMRI, EEG, MEG, iEEG, spikes — one framework handles all neural recording modalities with consistent event-based data structures
HuggingFace-native embedding extractors — plug in any HuggingFace model for text, audio, image, or video features directly in the brain data pipeline
Scalable cluster execution and caching — designed for large-scale Neuro-AI experiments with deterministic splits and experiment reproducibility
PricingFree (Open Source)
Versionlatest