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Description
logoChampalimaud Research Symposiumredirect
Oct 15-17 '25
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This year’s Champalimaud Research Symposium, Neuro-Cybernetics at Scale, will explore how behavior emerges through complex feedback loops across neural circuits, bodies, and varied environments. While reductionist approaches have brought deep insights into individual components, understanding behavior as it unfolds in the real world demands a shift toward systems-level thinking—across scales, disciplines, and modalities.

The symposium draws inspiration from the recent advances in AI and machine learning, where scaling has unlocked unprecedented performance. We believe neuroscience may be approaching a similar inflection point. By convening researchers in experimental neuroscience, robotics, machine learning, control theory, and theoretical neuroscience, we aim to explore how ideas of scaling and feedback can shape the future of systems neuroscience.

This single-track scientific meeting will feature four keynote speakers and a lineup of esteemed invited speakers, along with selected talks from submitted abstracts. Attendees will also have the opportunity to showcase their research during two poster sessions, all while enjoying various networking and social activities.

We anticipate around 300 participants for this interactive three-day event, held in a venue renowned for its unique and inspiring atmosphere. We are confident that this setting will facilitate lively discussions and stimulate groundbreaking scientific exchange. Don’t miss out on this exciting opportunity to connect and collaborate with fellow researchers.

logoChampalimaud Research Symposiumredirect
Oct 15-17 '25
view
View Resources

This year’s Champalimaud Research Symposium, Neuro-Cybernetics at Scale, will explore how behavior emerges through complex feedback loops across neural circuits, bodies, and varied environments. While reductionist approaches have brought deep insights into individual components, understanding behavior as it unfolds in the real world demands a shift toward systems-level thinking—across scales, disciplines, and modalities.

The symposium draws inspiration from the recent advances in AI and machine learning, where scaling has unlocked unprecedented performance. We believe neuroscience may be approaching a similar inflection point. By convening researchers in experimental neuroscience, robotics, machine learning, control theory, and theoretical neuroscience, we aim to explore how ideas of scaling and feedback can shape the future of systems neuroscience.

This single-track scientific meeting will feature four keynote speakers and a lineup of esteemed invited speakers, along with selected talks from submitted abstracts. Attendees will also have the opportunity to showcase their research during two poster sessions, all while enjoying various networking and social activities.

We anticipate around 300 participants for this interactive three-day event, held in a venue renowned for its unique and inspiring atmosphere. We are confident that this setting will facilitate lively discussions and stimulate groundbreaking scientific exchange. Don’t miss out on this exciting opportunity to connect and collaborate with fellow researchers.

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