Electrophysiology workshops

Researchers from neuroscience, engineering and clinical practice will examine technologies for understanding brain function and treating disorders. Three tracks cover emerging neural recording and imaging methods, machine learning and brain-inspired computation, and clinical translation through neuroprosthetics, neuromodulation and brain-computer interfaces. The programme connects multiscale measurement, interpretable models, multimodal data and biomarkers with deployment challenges. Panels consider ethics, standards, clinical needs, careers and funding; posters, live demonstrations, exhibits and an aging-brain symposium support exchange. In-person at the National Housing Center, 1201 15th St NW, Washington, DC 20005, November 11–13. All times are US Eastern (America/New_York): November 11 registration 12:00, activities 13:00; November 12–13 registration 08:00, sessions 08:30; closing events end November 13 at 18:00. Regular fees: IEEE members USD 425, non-members USD 475; students USD 50/75 respectively. Early rates ended October 1. General poster/demo abstracts close October 19. Member and non-member registration is available through the event website.

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.

This practical workshop explains how to establish chronic video-EEG recordings in rodent epilepsy models, from equipment and electrode placement to seizure monitoring and data management. Analysis ranges from spike and seizure quantification to machine learning. A second component introduces Motion Sequencing (MoSeq), an unbiased method for identifying and measuring behavior from video, with workflows for studying seizures, behavioral changes and associated conditions. Participants examine the hardware, software and implementation choices needed to introduce both approaches into their laboratories. Monday 7 December, 10:00–11:30 Mountain Standard Time (America/Denver). Part of the 2026 American Epilepsy Society Annual Meeting. In-person meeting registration and a free myAES account are required. Standard full-meeting rates are USD 800 for member scientists and USD 1,075 for non-member scientists; student rates are USD 250 and USD 360, respectively. Other professional and one-day categories are available. Seating priority goes to registered attendees.

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.

The NeuroData AI Summer School, formerly NeuroDataReHack, is a one-week residential school on reanalysing open neurophysiology data and applying AI methods to neural data, held from 19 to 24 July 2027 at HHMI's Janelia Research Campus in Ashburn, Virginia. Foundations sessions cover how NWB files are organised, how to find and stream data from the DANDI Archive, and analysis tools built on the standard such as SpikeInterface, Pynapple and Neurosift, using large public datasets. AI-methods sessions cover foundation models for neural activity, coding with large language models and AI agents, decoding and dimensionality reduction, and how to check whether a method developed on one lab's recordings works on another lab's data. Mornings are lectures and afternoons are team projects formed around shared datasets, and lectures are recorded and published. The school is intended for PhD students, postdoctoral researchers and principal investigators with basic Python or MATLAB programming and neurophysiology research experience; preference goes to applicants with a specific project reanalysing existing NWB data, and past NeuroDataReHack participants are not eligible. It is in person only for about 35 participants, with no registration or application fee, on-campus lodging and meals provided, and up to $550 of travel costs reimbursed. Applications close on 29 January 2027 and are reviewed on a rolling basis, with every applicant hearing back by the end of February 2027. The school is supported by NINDS award R25NS149357.