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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.

Jessica Mollick

Psychiatry, Yale University
Postdoctoral Associate
New Haven, CT

https://scholar.google.com/citations?user=N-qpWXUAAAAJ&hl=en

Jessica Mollick is a Postdoctoral Associate in the Department of Psychiatry where she conducts research in the lab of Dr. Hedy Kober. Her research focuses on learning, decision making and addiction, and she is currently conducting research in humans with cocaine addiction and fMRI meta-analysis work on the neural representation of prediction errors. Further, she focuses on computational neural network models of the basal ganglia, amygdala and dopamine system, as well as value-based decision-making models to understand the effects of addiction on decision-making behavior and reward learning.

3:00pm CEST

K1: Deep reinforcement learning and its neuroscientific implications CrowdcastMatthew Botvinick

4:00pm CEST

Building mechanistic multiscale models, from molecules to networks, using NEURON and NetPyNE Link (T2)Robert McDougal • William W Lytton • Joe Graham • Salvador Dura-Bernal 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

1:00pm CEST

F1: Delineating Reward/Avoidance Decision Process in the Impulsive-compulsive Spectrum Disorders through a Probabilistic Reversal Learning Task CrowdcastXiaoliu Zhang

1:40pm CEST

O1: Dopamine role in learning and action inference CrowdcastRafal Bogacz

4:20pm CEST

O4: Towards multipurpose bio-realistic models of cortical circuits CrowdcastAnton Arkhipov

11:00pm CEST

CNS Party Party: Whyville!jim Bower • Rebekah Evans

3:30pm CEST

W3 S0: Information-Theoretic Models in Psychology and Neuroscience (Opening remarks) Crowdcast (W03)Dimitrios Pinotsis • Randy Gallistel • Earl K. Miller

5:00pm CEST

W06 S1: An overview of data, tools, and computational analysis at the Allen Insitute Crowdcast (W06)Michael Hawrylycz W10: Dissecting the role of interneurons in mnemonic functions using computational modelling approaches Crowdcast (W10)Wilten Nicola • Roger D. Traub • Frances Skinner • Jiannis Taxidis • Everton Agnes (Vogels lab)

6:15pm CEST

W1 S5: Inference of topology and the nature of synapses in neuronal networks Crowdcast (W01)Fernando S Borges W3 S4: Working Memory 2.0 Crowdcast (W03)Earl K. Miller

7:30pm CEST

W4 S6: The NEURON Simulator Crowdcast (W04)Lia Eggleston • Robert McDougal

7:45pm CEST

W06 S6: Is cortex a hierarchically organized set of canonical local circuits? Crowdcast (W06)Stefan Mihalas

3:00pm CEST

W3 S7: Deep Inference and Information Gain Crowdcast (W03)Karl Friston

4:00pm CEST

W4 S9: PyNN modeling tool Crowdcast (W04)Andrew Davison

4:10pm CEST

W3 S9: Information, Anticipation and Dopamine Crowdcast (W03)Peter Balsam

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

W3 S10: Using Cumulative Coding Cost to Analyze and Understand Acquisition and Extinction Crowdcast (W03)Randy Gallistel W9 S2 - Using reinforcement learning to train biophysically detailed models of visual-motor cortex to play Atari games Crowdcast (W09)Haroon Anwar • Sam Neymotin

5:00pm CEST

W1 S13: Information Theory for Cognitive Modelling: Speculations and Directions Crowdcast (W01)Daniel Polani W4 S11: ModelDB Crowdcast (W04)Ted Carnevale • Serena Thaw-Poon

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

7:00pm CEST

W4 Discussion 2: Should detailed modeling be more widely used? should tools/standards converge or diversify? Crowdcast (W04)Salvador Dura-Bernal • Kael Dai • Padraig Gleeson

7:30pm CEST

W06 S13: Systematic Integration of Structural and Functional Data into Multi-Scale Models of Mouse Primary Visual Cortex Crowdcast (W06)Anton Arkhipov

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

5:00pm CEST

W06 S16: From hypothesis to data: Open two-photon brain observatories in system neuroscience Crowdcast (W06)Jerome Lecoq

5:30pm CEST

W06 S17: Functional computation in the mouse visual cortex Crowdcast (W06)Michael Buice

7:00pm CEST

W06 S19:Explorations of self-supervised learning in the neocortex using open data Crowdcast (W06)Blake Richards

7:30pm CEST

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