CNS*2020 Online has ended

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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.

RN

Rabiya Noori

Krembil Research Institute

https://twitter.com/rabiyaneuro

12:00pm CEST

Characterizing neural dynamics using highly comparative time-series analysis Link (T7)Ben D. Fulcher

3:00pm CEST

K1: Deep reinforcement learning and its neuroscientific implications CrowdcastMatthew Botvinick

4:00pm CEST

The use of Keras with Tensor Flow applied to neural models and data analysis Link (T5)Cecilia Jarne

7:00pm CEST

Methods from Data Science for Model Simulation, Analysis, and Visualization Link (T6)Cengiz Gunay • Anca Doloc-Mihu Neuromorphic VLSI realization of the Hippocampal formation Link (T4)Anu Aggarwal

1:40pm CEST

O1: Dopamine role in learning and action inference CrowdcastRafal Bogacz

2:00pm CEST

O2: Neural Manifold Models for Characterising Brain Circuit Dynamics in Neurodegenerative Disease CrowdcastSeigfred Prado

3:00pm CEST

K2: A new computational framework for understanding vision in our brain CrowdcastLi Zhaoping

5:40pm CEST

F2: Using evolutionary algorithms to explore single-cell heterogeneity and microcircuit operation in the hippocampus CrowdcastAndrea Navas-Olive

7:00pm CEST

P47: Brain Dynamics and Structure-Function Relationships via Spectral Factorization and the Transfer Function Slot 12James Henderson

11:00pm CEST

CNS Party Party: Whyville!jim Bower • Rebekah Evans

3:00pm CEST

K3: Information and Decision-Making CrowdcastDaniel Polani

7:00pm CEST

P110: Synchronization and resilience in the Kuramoto white matter network model with adaptive state-dependent delays Slot 18Daniel Park

7:00am CEST

K4: Computational models of neural development CrowdcastGeoffrey J. Goodhill

3:00pm CEST

W1 S0: Methods of Information Theory in Comptuational Neuroscience - Opening Remarks Crowdcast (W01)Joseph Lizier

9:00am CEST

W1 S6: Structure of information to understand the physical basis of consciousness Crowdcast (W01)Naotsugu Tsuchiya

9:45am CEST

W1 S7: Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series Crowdcast (W01)Oliver Cliff

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

6:00pm CEST

W06 S11: Mapping the Connectivity of Cell Types with EM Connectomics Crowdcast (W06)Nuno da Costa W4 S12: NeuroML and Open Source Brain Crowdcast (W04)Padraig Gleeson

6:15pm CEST

W3 S11: Efficient compression and human semantic systems Crowdcast (W03)Noga Zaslavsky W9 S5 - Inferring nonlinear dynamical systems from multi-modal psychiatric data by statistical deep learning Crowdcast (W09)Daniel Durstewitz

6:00pm CEST

W06 S18:Testing theories of sensory coding and learning with the Allen Institute's Brain Observatory Crowdcast (W06)Joel Zylberberg

7:30pm CEST

W06 S20:Building a pipeline to survey spiking activity across the mouse visual system Crowdcast (W06)Josh Siegle

8:30pm CEST

W06 S22: Discussion Crowdcast (W06)