Neuroscience 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 workshop brings senior and early-career researchers together to examine emerging challenges in neurotechnology, neural engineering, bioelectronics and biological interfaces. Invited talks cover materials and devices for neuroelectronics and bioinspired materials for tissue engineering. Editor panels, an IDEA League focus session and posters provide opportunities to compare approaches and develop collaborations. A poster award is sponsored by Advanced Electronic Materials. In-person at the Central Library, Forschungszentrum Jülich, Wilhelm-Johnen-Straße, 52428 Jülich, Germany. Starts November 17 at 09:00 and ends November 18 at 13:30, Europe/Berlin (CET). Apply by October 20 through the event registration form. Participation requires organizer approval; the form includes an Other affiliation option. Fees are not stated on the registration page.