Neuro-Informatics 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.

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.