NeuralSet: A High-Performing Python Package for Neuro-AI

Jean-Rémi King; Corentin Bel; Linnea Evanson; Julien Gadonneix; Sophia Houhamdi; Jarod Lévy; Josephine Raugel; Andrea Santos Revilla; Mingfang Zhang; Julie Bonnaire; Charlotte Caucheteux; Alexandre Défossez; Théo Desbordes; Pablo Diego-Simón; Shubh Khanna; Juliette Millet; Pierre Orhan; Saarang Panchavati; Antoine Ratouchniak; Alexis Thual; Teon L. Brooks; Katelyn Begany; Yohann Benchetrit; Marlène Careil; Hubert Banville; Stéphane d'Ascoli; Simon Dahan; Jérémy Rapin

arXiv · 2605.03169

NeuralSet: A High-Performing Python Package for Neuro-AI

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Abstract

Artificial intelligence (AI) is increasingly central to understanding how the brain processes information. However, the integration of neuroscience and modern AI is bottlenecked by a fragmented software ecosystem. Current tools are siloed by recording modality and optimized for small-scale, in-memory workflows, limiting the use of massive, naturalistic datasets. Here, we introduce NeuralSet, a Python framework that efficiently unifies the processing of diverse neural recordings (including fMRI, M/EEG, and spikes) and complex experimental stimuli (such as text, audio, and video). By decoupling experimental metadata from lazy, memory-efficient data extraction, NeuralSet harmonizes standard neuroscientific preprocessing pipelines with pretrained deep learning embeddings. This approach provides a single PyTorch-ready interface that scales seamlessly from local prototyping to high-performance cluster execution. By eliminating manual data wrangling and ensuring full computational provenance, NeuralSet establishes a scalable, unified infrastructure for the next generation of neuro-AI research.

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Jean-Rémi King, Corentin Bel, Linnea Evanson, Julien Gadonneix, Sophia Houhamdi, Jarod Lévy, Josephine Raugel, Andrea Santos Revilla, Mingfang Zhang, Julie Bonnaire, Charlotte Caucheteux, Alexandre Défossez, Théo Desbordes, Pablo Diego-Simón, Shubh Khanna, Juliette Millet, Pierre Orhan, Saarang Panchavati, Antoine Ratouchniak, Alexis Thual, Teon L. Brooks, Katelyn Begany, Yohann Benchetrit, Marlène Careil, Hubert Banville, Stéphane d'Ascoli, Simon Dahan, Jérémy Rapin. 2026-05-04. NeuralSet: A High-Performing Python Package for Neuro-AI. https://arxiv.org/abs/2605.03169

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