Neuroimaging 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.

Build a three-dimensional understanding of human brain structure through focused lectures, filmed dissections and live expert commentary. The programme follows cortical landmarks and the limbic lobe into subcortical white matter, ventricles, hippocampus, fornix, basal ganglia and thalamus, with further exploration of the brainstem and cerebellum. Traditional blunt dissection reveals major pathways, while axial, sagittal and coronal MRI comparisons connect anatomy to imaging. Consolidation and self-assessment sessions help participants test their recognition of structures. Live online via Zoom on 14–15 November 2026, 10:00–16:00 GMT each day, followed by questions until 16:15. Fee: GBP 395. The enrollment route requires a Neurocourses account.

This four-day workshop combines whole-brain modelling, machine learning and high-order interaction analysis to study human neuroimaging data beyond pairwise descriptions. Through reproducible Python workflows, participants combine theory-driven simulations with multivariate descriptors of collective brain dynamics to capture individual variability, explore brain health and support more mechanistic analyses of M/EEG and fMRI data. Opening lectures by Rodrigo Cofré on whole-brain models and high-order interactions, Kaichao Wu on modelling brain criticality in health and disease, Yonatan Sanz Perl on brain modelling and the physics of cognition, and Joana Cabral on functional connectivity as eigenmode resonance are followed by theory and hands-on tutorials on brain clocks (Carlos Coronel), brain high-order interactions (Marilyn Gatica), propagation of perturbations in brain networks (Xiaoge Bao) and HOI-based digital twins (Rubén Herzog), with poster sessions and flash talks. Lei Zhao gives the closing lecture on cognitive impairments in chronic pain within a brain-ageing framework, and the final day is devoted to developing project proposals in collaborative groups. Sessions run from 10:00 to 18:30 on 17–20 November 2026 at the Complex Balear de Recerca, Parc BIT, Universitat de les Illes Balears, in Palma de Mallorca. The workshop is held in person and in English for 40 participants selected by application, with no registration fee, and targets students and early-career researchers with scientific Python experience; applications closed on 25 September 2026.

The seventh Latin-American Summer School in Computational Neuroscience (LACONEU) runs from 11 to 29 January 2027 at CIAE, Universidad de Valparaíso, in Valparaíso, Chile, bringing together students, researchers and experts from Latin America, North America and Europe. The school seeks to advance computational neuroscience in Latin America by combining mathematical and computational tools with applications in biomedical research and clinical practice. Its three modules cover neural models and artificial intelligence, reviewing approaches to modelling neural systems from single neurons and microcircuits to large-scale brain networks and behaviour; machine learning for the analysis of neural data, the simulation of brain processes and the intersection of AI and neuroscience; and diffusion MRI tractography, from the biophysical basis of diffusion MRI to preprocessing and fibre reconstruction for studying structural brain connectivity. Morning lectures by national and international faculty are complemented by hands-on tutorials, problem solving and data analysis, tutored research projects in the afternoons and evenings, and evening seminars open to all audiences. The school especially encourages applicants from Latin America, women and members of historically underrepresented groups in science.