Linnea Evanson, PhD

Meta FAIR Releases NeuralSet: A Python Package for Neuro-AI That Supports fMRI, M/EEG, Spikes, and HuggingFace Embeddings Every other tool supports some. NeuralSet supports all. Key Points: → One unified PyTorch DataLoader for fMRI, MEG, EEG, iEEG, fNIRS, EMG, and spike recordings → Native HuggingFace integration: DINOv2, CLIP, Wav2Vec, Whisper, GPT-2, LLaMA, VideoMAE — out of the box → Stimulus embeddings are always temporally aligned with neural recordings — no manual alignment code → Pydantic validation catches config errors at initialization, not hours into a cluster run → Same script runs on your laptop and a SLURM cluster — one config flag change → Hash-based caching means running a large language model over an entire corpus happens once, then never again The core design principle is structure–data decoupling. The entire experiment is represented as lightweight event metadata — a pandas DataFrame. No raw signals are loaded until a PyTorch DataLoader actually needs them. You can filter, explore, and recombine terabyte-scale datasets without touching a single file. 📦 pip install neuralset ↗ Full analysis: marktechpost.com/2026/04/29/… ↗ Docs: facebookresearch.github.io/n… ↗ Paper: kingjr.github.io/files/neura… @AIatMeta @Meta_Engineers @Meta @JeanRemiKing @JRaugel @JarodLevy @EvansonLinnea @LucyZ47712090 @juliengadonneix @asantosrevilla @SHouhamdi98568 @BenchetritYoha1 @stephanedascoli @DahanSimon @hubertjbanville @teonbrooks @klbegany @shubhkhanna__ @PierreOrhan @alexisthual @honualx ...