[2O04m2] Learning Theory / Neural Network Modeling and Artificial Intelligence 1 | NEURO2022

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Session Details

Oral

[2O04m2]Learning Theory / Neural Network Modeling and Artificial Intelligence 1

Fri. Jul 1, 2022 10:00 AM - 11:00 AM JST
Fri. Jul 1, 2022 1:00 AM - 2:00 AM UTC

Room 4 Conference Building B5~7 (Okinawa Convention Center)

Chair: Masafumi Oizumi

[2O04m2-01]Hierarchical spatial information learning in a gated prefrontal-thalamo-hippocampal circuit model

*Munenori Takaku¹, Tomoki Fukai¹ (1. Okinawa Institute of Science and Technology)

[2O04m2-02]Development of a Data-driven Prediction Model for the Evolution of White Matter Hyperintensities using Deep Learning: Progress and Challenges

*Muhammad Febrian Rachmadi¹, Maria del C Valdés-Hernández², Joanna Wardlaw², Stephen Makin³, Henrik Skibbe¹ (1. Brain Image Analysis Unit, RIKEN Center for Brain Science, Wako, Japan, 2. Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK, 3. University of Aberdeen, Aberdeen, UK)

[2O04m2-03]Noise tolerance and information spreading in MEG source estimation using a structured Bayesian model with hierarchical prior

*Kai Miyazaki¹, Shun Nirasawa¹, Kazuaki Akamatsu¹, Okito Yamashita^2,3, Yoichi Miyawaki¹ (1. The University of Electro-Communications, 2. Advanced Telecommunications Research Institutes International, 3. RIKEN Center for Advanced Intelligence Project)

[2O04m2-04]Control Cost for State Transitions in Stochastic Neural Systems

*Shunsuke Kamiya¹, Genji Kawakita¹, Shuntaro Sasai², Jun Kitazono¹, Masafumi Oizumi¹ (1. The University of Tokyo, 2. Araya Inc.)

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