Peking Union Medical College Hospital at SfN 2026

Nov 14–18, 2026 Washington, DC ~21k attendees Website

Peking Union Medical College Hospital brings 2 presentations to SfN 2026 in Washington. Its presentations at this meeting centre on sensory integration and epilepsy-related brain activity. One explores how brain activity around epileptic discharges can guide the selection of negative samples for automated detection models.

Organization	SfN 2026 Attendance
Peking Union Medical College Hospital Beijing, China
pumch.cn Hospitals and medical centers Academic teaching hospital in Beijing, China.	Talk Mon Nov 16 8–8:15am Part of Session NANO18: Human Audiovisual Integration A Different Pattern of Cross-modal Plasticity in Single-sided Deafness: Hypo-activation during Visual Processing and Enhanced Audiovisual Integration WCC Rm 140 Talk Tue Nov 17 1:15–1:30pm Part of Session NANO32: Human Epilepsy Biomarkers, Brain States, and Network Communication Time-resolved spectral and functional network dynamics around interictal epileptiform discharges inform negative sample selection for automated detection models WCC Rm 207A

Organization

SfN 2026 Attendance

Peking Union Medical College Hospital

Beijing, China

pumch.cn

Hospitals and medical centers

Academic teaching hospital in Beijing, China.

Talk

Mon Nov 16
8–8:15am

Part of Session NANO18: Human Audiovisual Integration

A Different Pattern of Cross-modal Plasticity in Single-sided Deafness: Hypo-activation during Visual Processing and Enhanced Audiovisual Integration

WCC Rm 140

Talk

Tue Nov 17
1:15–1:30pm

Part of Session NANO32: Human Epilepsy Biomarkers, Brain States, and Network Communication

Time-resolved spectral and functional network dynamics around interictal epileptiform discharges inform negative sample selection for automated detection models

WCC Rm 207A

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Not affiliated with the Society for Neuroscience. Organization details are derived from SfN’s published exhibitor list, its Neuroscience Meeting Planner and each organization’s own website. Submit a correction