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CNS*2020 Online

Welcome to the Sched instance for CNS*2020 Online! Please read the instruction document on detailed information on CNS*2020.

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4:30pm CEST

W9 S1 - Machine learning and mechanistic modeling for understanding brain in health and disease Crowdcast (W09)William W Lytton • Sam Neymotin

4:45pm CEST

W9 S2 - Using reinforcement learning to train biophysically detailed models of visual-motor cortex to play Atari games Crowdcast (W09)Haroon Anwar • Sam Neymotin

5:15pm CEST

W9 S3 - Multi-level modelling of the brain: from intracellular signaling and neurovascular coupling to whole-body cross-talk and clinical implementations Crowdcast (W09)Gunnar Cedersund

5:45pm CEST

W9 S4 -Algorithmic Analytics Towards Precision Psychiatry Crowdcast (W09)Danilo Bzdok

6:15pm CEST

W9 S5 - Inferring nonlinear dynamical systems from multi-modal psychiatric data by statistical deep learning Crowdcast (W09)Daniel Durstewitz

8:15pm CEST

W9 S6 - Extended Lunch Crowdcast (W09)

8:45pm CEST

W9 S7 - From models of neural circuits to deep learning: A multi-scale approach to understanding the function of the visual tilt illusion Crowdcast (W09)Thomas Serre

9:15pm CEST

W9 S8 - Strong inhibition and stable temporal dynamics in spiking networks sustain working memory Crowdcast (W09)Terrence Sejnowski

9:45pm CEST

W9 S9 - Toward multi-scale brain data assimilation Crowdcast (W09)Kenji Doya • Carlos Gutierrez • Ken Nakae • Hiromichi Tsukada

10:15pm CEST

W9 S10 - Workshop Discussion Crowdcast (W09)Thomas Serre • Haroon Anwar • William W Lytton • Sam Neymotin • Kenji Doya • Daniel Durstewitz • Gunnar Cedersund • Danilo Bzdok • Idan Segev • Terrence Sejnowski