The 103rd Annual Meeting of The Physiological Society of Japan
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Session Details

Symposium

[2S09m]From in vitro to in silico: a cross-layer approach of neural circuit research

Wed. Mar 11, 2026 8:50 AM - 10:40 AM JST
Wed. Mar 11, 2026 11:50 PM - 1:40 AM UTC
Room 9(Basic Sciences Building, 4F, 411)
Organizers/Chairs: Haruyuki Kamiya (Hokkaido University), Hideaki Yamamoto (Tohoku University)
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.
8:50 AM - 8:55 AM JST(11:50 PM - 11:55 PM UTC)

Introduction

8:55 AM - 9:15 AM JST(11:55 PM - 12:15 AM UTC)

[2S09m-01]From Neuronal Circuits to Membrane Molecules: Reconstitution and Functional Analysis across Scales

*Ayumi Hirano-Iwata1 (1. Tohoku University)
Comment()
9:15 AM - 9:35 AM JST(12:15 AM - 12:35 AM UTC)

[2S09m-02]Silicon neuronal network as a basic tool for analysis by construction

*Nanako Kimura1, Takashi Kohno1 (1. The University of Tokyo)
Comment()
9:35 AM - 9:55 AM JST(12:35 AM - 12:55 AM UTC)

[2S09m-03]Biologically inspired approach to training recurrent spiking neural networks

*Davide Noè1,2, Hideaki Yamamoto1,2, Yuichi Katori3,4, Shigeo Sato1,2 (1. Research Institute of Electrical Communication, Tohoku University, 2. Graduate School of Engineering, Tohoku University, 3. School of Systems Information Science, Future University Hakodate, 4. International Research Center for Neurointelligence, The University of Tokyo)
Comment()
9:55 AM - 10:15 AM JST(12:55 AM - 1:15 AM UTC)

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

*Yutaka Hirata1 (1. Chubu University)
Comment()
10:15 AM - 10:35 AM JST(1:15 AM - 1:35 AM UTC)

[2S09m-05]Unraveling energy efficiency of axon code with subcellular recording and simulation

*Haruyuki Kamiya1 (1. Department of Neurobiology, Hokkaido University Graduate School of Medicine)
Comment()
10:35 AM - 10:40 AM JST(1:35 AM - 1:40 AM UTC)

Conclusion

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