Session Details
[2S06m]Quantitative and Theoretical approaches to coding and learning principles of the cortex
Thu. Jul 30, 2020 9:00 AM - 11:00 AM JST
Thu. Jul 30, 2020 12:00 AM - 2:00 AM UTC
Thu. Jul 30, 2020 12:00 AM - 2:00 AM UTC
Room 6
Organizer: Junnosuke Teramae (Graduate School of Informatics, Kyoto University), Yasuhiro Tsubo (College of Information Science and Engineering Ritsumeikan University)
Support contributed by Japanese Neural Network Society
*Videos are available throughout the meeting period.
*Videos are available throughout the meeting period.
[2S06m-Introduction]Introduction
[2S06m-01]Nneurons → ∽
*Kenneth D Harris1 (1. University College London)
[2S06m-02]Sample-based Bayesian learning with multi-synaptic connections
*Naoki Hiratani1 (1. Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom)
[2S06m-03]Intrinsic dynamics of the dendritic spines
*HITOSHI OKAZAKI1, Haruo Kasai1 (1. Structural Physiology, Grad. Sch. of Medicine, The Univ. of Tokyo)
[2S06m-04]Dual stochasticity in the cortex as a biologically plausible learning with the most efficient coding
*JUNNOSUKE TERAMAE1 (1. Grad Sch of Info, Kyoto Univ, Kyoto)
[2S06m-05]Calcium imaging of spontaneous and stimulus-evoked activity in the marmoset visual cortex
*TEPPEI MATSUI1, Takayuki Hashimoto1,2, Tomonari Murakami1, Masato Uemura1, Kohei Kikuta1, Toshiki Kato1, Kenichi Ohki1,3 (1. Dept Physiol, Univ of Tokyo, Tokyo, Japan, 2. JST PRESTO, 3. IRCN, Univ of Tokyo)
