Neurocomputing 2026: the Map and the Territory

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David DeMaris, Owen McNally and Zoltan Nadasdy discuss theories and applications spanning neuroscience, computer science and AI. Participants are invited to a nearby social visit afterward.

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EFF-Austin is sustained via the contributions of supporters like you. Donate via the Support page on our website: https://effaustin.org/support/ On Tuesday November 10, 7PM, at FUTO (2410 San Antonio) the Austin Science Network and EFF-Austin present Neurocomputing 2026: the Map and the Territory. TALK SUMMARY: Neurocomputing integrates generations of developments from two different domains: experimental and theoretical neuroscience, and computer science and engineering. Problem-solving over the decades has led to computational models and AI systems inspired by the brain’s neural architecture and dynamics, including artificial neural networks, brain-inspired algorithms, and more recently, neurosymbolic AI. Applications include machine learning, computational neuroscience models, brain-computer interface (BCI) systems, microprocessor architectures, and neuromorphic computing. Join us for a discussion on theories and applications across disciplinary borders with David DeMaris, PhD, Owen McNally, PhD and Zoltan Nadasdy, PhD. The event is open to the public, and participants are invited to a nearby social visit afterwards. BIOS: David DeMaris holds a Ph.D. in Computer Engineering from the University of Texas at Austin. His research spans computational neuroscience, nonlinear dynamics, machine learning, microprocessor design software, computational lithography, and remains active in Austin’s arts and music scenes.

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