Neuromorphic Engineering for Clinical Care Minisymposium
Event Overview
The National Institutes of Health (NIH) Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative is hosting an exciting minisymposium at the IEEE-EMBS International Conference on Neural Engineering on Thursday, November 13, 2025 from 2–3:30 PM (Pacific Time): “Closing the Loop Between Neuroscience and A.I. through Neuromorphic Engineering to Improve Clinical Care.” This minisymposium will take place at the Town and Country Resort (Pacific Room) at 500 Hotel Circle North, San Diego, CA.
This session’s talks and Q&A will advance an emerging vision of bidirectional exchange between neuroscience and neuromorphic engineering, building on critical interdisciplinary discussions at recent NeuroAI workshops, including Neuromorphic Principles in Biomedicine and Healthcare (Oct. 2024), NIH BRAIN NeuroAI Workshop (Nov. 2024), NeuroAI @ NeurIPS 2024 (Dec. 2024), and NSF NeuroAI+Beyond (Aug. 2025). Speakers will showcase specific examples and approaches that illustrate the potential for scientific and clinical impact as neuromorphic technologies achieve commercial maturity. Speakers will explore how neuromorphic systems may provide uniquely capable solutions for adaptive, personalized brain health and for advancing neuroscience.
See the full conference schedule here and don’t forget to visit the NIH BRAIN Initiative booth at NER 2025!
Event Organizers
Dr. Will Nourse (Postdoctoral Scholar and Project Manager, Case Western Reserve University), Grace Hwang (Program Director, NIH/National Institute of Neurological Disorders and Stroke/BRAIN), and Joseph Monaco (Scientific Program Manager and BRAIN Initiative Team Data Lead, NIH/NINDS)
Featured Speakers
Dr. Brad Aimone
Sandia National Laboratories
Dr. Jason Eshraghian
University of California, Santa Cruz
“Neuromorphic neuromodulation: Using the brain to forecast the brain.” Dr. Eshraghian is the creator of the snnTorch modeling framework. His research focuses on advancing hardware designs for closed-loop neuromodulation.
Dr. Gina Adam
George Washington University
“Neuromorphic hardware inspired by the hippocampus.” Professor Adam’s lab develops novel hardware foundations at the intersection of materials, devices, and circuits to enable new ways of computing. She has also published on neuromorphic detection of propagation wavefront in cardiac ventricular fibrillation to trigger precise ablation.
Dr. Giulia D’Angelo
Czech Technical University
“What’s catching your eye? – Event-driven sensing and neuromorphic computing for active vision.” Dr. D’Angelo develops neuromorphic vision algorithms to bridge bio-inspired software and hardware to enable robust, efficient perception and control for low-power, low-latency autonomous systems.
Dr. Elisa Donati
University of Zurich/ETH
“Neuromorphic prosthetics: Closing the motor–sensory loop.” Dr. Donati’s research aims to design and demonstrate closed-loop neuromorphic biomedical interfaces for application to the nervous system.