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Tue. Mar 10, 2026

Wed. Mar 11, 2026

Thu. Mar 12, 2026

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Adaptive sensorimotor transformation by an artificial cerebellum toward real-world predictive machine control

Co-hosted by: Grant-in-Aid for Transformative Research Areas (A)   Multicellular neurobiocomputing: Understanding and advancing towards biological supremacyJST CREST MultiSensing Geometrical Understanding of Spatial Orientation

Understanding ultra-fast and flexible computation of the brain will not only help to understand brain functions but also contribute to the development of next-generation energy-efficient computing technologies by "mimicking" the super-efficient biological brain. In this symposium, we will introduce innovative research like reconstruction of artificial neuronal networks, neuromorphic silicon circuits for brain-like information processing, analysis of learning rules for recurrent neural networks, robotic implementation of sensory-motor conversion of biological brains, and combining axon recording and modelling to understand energy-efficient neuronal code. We would like to overview the current state of cross-layer neural circuit research and predict research developments for the next generation.

The 103rd Annual Meeting of The Physiological Society of Japan

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[2S09m-04]Adaptive sensorimotor transformation by an artificial cerebellum toward real-world predictive machine control

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