Physiology workshops

The NeuralNet minischool combines theory with practical work on participants’ laptops to develop skills in extracting and interpreting neuronal spikes. Spike-sorting sessions introduce available methods and the SpikeInterface framework, then cover preprocessing, running sorters, postprocessing, automatic and manual curation, and visualization. Participants can bring their own data for supervised analysis. The final morning addresses spike-train methods, including firing rates, population representations, waveform and cell-type analysis, connectivity through cross-correlograms, and decoding, with exercises using an open DANDI dataset. Pierre Yger, Pierre Le Merre and Samuel Garcia teach the programme. In-person sessions take place at the Saint Germain Campus, 45 rue des Saints-Pères, Paris: 23 November 14:00–18:00; 24 November 09:00–12:00 and 14:00–18:00; 25 November 09:00–12:00. Times are Europe/Paris, CET (UTC+01:00). The minischool itself is free, but registration for the paid main NeuralNet meeting is required first. Use the separate minischool registration form linked from the official page; main-meeting registration remains open until capacity is reached.

Foundation Models for the Brain and Body is the second edition of a NeurIPS workshop on large-scale pretrained AI models of neural and physiological signals. Advances in brain interfacing and wearable technologies, including EEG, intracortical electrophysiology, EMG, MEG and ECG, now yield large and diverse biosignal datasets collected across real-world contexts, but these timeseries are noisy, heterogeneous and recorded under variable conditions across subjects, devices and environments. The workshop brings together neuroscientists, biomedical engineers, wearable-technology researchers and machine learning experts to develop foundation models that generalise across applications from brain-computer interfacing to health monitoring. This edition broadens the scope to embodied intelligence, with foundation models for movement, motor control and closed-loop interaction between brain, body and machine, and adds a panel discussion on benchmarking that compares evaluation practices across modalities. Invited speakers and panelists are Giulia Lioi (IMT Atlantique), Simon Dahan (Meta), Chethan Pandarinath (Emory, Georgia Tech), A. Ali Heydari (Google), Hubert J. Banville (Meta), Konstantinos Kontras (KU Leuven, MIT) and Sergey D. Stavisky (UC Davis). The workshop runs from 8:00 to 17:00 AEDT on Saturday 12 December 2026 in Hall 1 at NeurIPS 2026 in Sydney. Papers and travel-award applications were due on 5 September 2026 and demos on 19 September 2026.