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Circuits in Action
Hippocampus
Learning and Dynamics
Neurons to Circuits
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Circuits in Action
Hippocampus
Learning and Dynamics
Neurons to Circuits
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Neurons to Circuits
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W01: Methods of Information Theory in Computational Neuroscience
W02: Calcium signalling
W03: Information - Theoretic Models of Psychology and Neuroscience
W04: Tools and resources for developing and sharing models in computational neuroscience
W05: Spatiotemporal Dynamics in Neuroimaging: Models and Analysis
W06: Allen Institute data and tools
W07: Dynamics of Rhythm Generation: Role of Ionic Pumps; Exchangers; and Ion Homeostasis
W09: Machine learning and mechanistic modeling for understanding brain in health and disease
W10: Modelling Interneurons during Memory
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Barna Zajzon
Jülich Research Centre, Jülich, and RWTH Aachen University, Aachen, Germany
Jülich, Germany
Saturday
, July 18
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
Crowdcast
Matthew Botvinick
4:00pm CEST
New interfaces for teaching with NEST: hands-on with the NEST Desktop GUI and NESTML code generation
Link (T1)
Sebastian Spreizer • Charl Linssen • Renato Duarte
10:00pm CEST
Discussion with Matt Botvinick
Crowdcast
Matthew Botvinick
11:00pm CEST
Information theory and directed network inference (using JIDT and IDTxl)
Crowdcast
Joseph Lizier • Leonardo Novelli
11:30pm CEST
Introduction to the Brain Dynamics Toolbox
Crowdcast
Stewart Heitmann
Sunday
, July 19
1:00pm CEST
F1: Delineating Reward/Avoidance Decision Process in the Impulsive-compulsive Spectrum Disorders through a Probabilistic Reversal Learning Task
Crowdcast
Xiaoliu Zhang
1:40pm CEST
O1: Dopamine role in learning and action inference
Crowdcast
Rafal Bogacz
2:00pm CEST
O2: Neural Manifold Models for Characterising Brain Circuit Dynamics in Neurodegenerative Disease
Crowdcast
Seigfred Prado
2:20pm CEST
O3: Coupled experimental and modeling representation of the mechanisms of epileptic discharges in rat brain slices
Crowdcast
Anton Chizhov
3:00pm CEST
K2: A new computational framework for understanding vision in our brain
Crowdcast
Li Zhaoping
4:20pm CEST
O4: Towards multipurpose bio-realistic models of cortical circuits
Crowdcast
Anton Arkhipov
4:40pm CEST
O5: How Stimulus Statistics Affect the Receptive Fields of Cells in Primary Visual Cortex
Crowdcast
Ali Almasi
7:00pm CEST
P175: Analytic Model for Feature Maps in the Primary Visual Cortex
Slot 17
Xiaochen Liu
P212: Neuron conduction delay plasticity for unsupervised learning
Slot 12
Joshua T Arnold
P35: Through synapses to spatial memory maps: a topological model
Slot 01
Yuri Dabaghian
P36: Robust spatial memories encoded by transient neuronal networks
Slot 01
Yuri Dabaghian
P95: A functional role of short-term synapses in maintenance of gustatory working memory in orbitofrontal cortex
Slot 15
Layla Antaket
P98: Bayesian mechanics in the brain under the free-energy principle
Slot 02
Chang-Sub Kim
8:00pm CEST
P101: Representing predictability of sequence patterns in a random network with short-term plasticity
Slot 03
Thomas R. Knösche
P119: Relating transfer entropy to network structure and motifs, and implications for brain network inference
Slot 10
Leonardo Novelli
P135: A cortical model examining mismatch negativity deficits in schizophrenia
Slot 06
Gili Karni
P142: Using reinforcement learning to train biophysically detailed models of visual-motor cortex to play Atari games
Slot 19
Haroon Anwar
P187: Modulation of the hierarchical gradient of cognitive information processing dynamics during rest and task
Slot 12
Oliver Cliff • Joseph Lizier
P190: Neural Field Theory: Modelling development of topography via activity based mechanisms.
Slot 18
Nicholas Gale
P203: A neural mechanism of working-memory manipulation in a categorization-task performance
Slot 15
Yoshiki Kashimori
P20: Effects of dopamine on networks of barrel cortex
Slot 02
Fleur Zeldenrust
P4: Self-organization of connectivity in spiking neural networks with balanced excitation and inhibition
Slot 10
Jihoon Park
P86: Studying neural mechanisms in recurrent neural network trained for multitasking depending on a context signal.
Slot 13
Cecilia Jarne
9:00pm CEST
P134: A fluid hierarchy in multisensory integration properties of large-scale cortical networks
Slot 19
Jorge Mejias
P57: Motor Cortex Encodes A Value Function Consistent With Reinforcement Learning
Slot 06
Venkata Tarigoppula
10:00pm CEST
Discussion with Zhaoping Li
Crowdcast
Li Zhaoping
11:00pm CEST
CNS Party
Party: Whyville!
jim Bower • Rebekah Evans
Monday
, July 20
1:00pm CEST
F3: Neuronal morphology imposes a tradeoff between stability, accuracy and efficiency of synaptic scaling
Crowdcast
Adriano Bellotti
3:00pm CEST
K3: Information and Decision-Making
Crowdcast
Daniel Polani
6:00pm CEST
O13: Cortical integration and segregation explained by harmonic modes of functional connectivity
Crowdcast
Katharina Glomb
7:00pm CEST
P133: Recurrent neural networks trained in multisensory integration tasks reveal a diversity of selectivity and structural properties
Slot 07
Jorge Mejias
P165: Using dynamical mean field theory to study synchronization in the brain.
Slot 07
Isabelle Harris
P171: Neural routing: Determination of the fastest flows and fastest routes in brain networks
Slot 01
Paula Sanz-Leon
P201: Frequency-separated Principal Components Analysis of Cortical Population Activity
Slot 14
Jean-Philippe Thivierge
P26: Learning recurrent dynamic patterns in spiking neural networks
Slot 19
Christopher Kim
8:00pm CEST
P14: Estimation of the cortical microconnectome from in vivo spiking activity in the macaque monkey
Slot 12
Aitor Morales-Gregorio
P157: Mesoscopic spiking neuronal network model capturing the remote activation of "epilepsy" focus
Slot 17
Dmitrii Zendrikov
P15: Learning sequences of correlated patterns in recurrent networks
Slot 16
Subhadra Mokashe
9:00pm CEST
P138: Processing Capacity of recurrent spiking networks
Slot 05
Tobias Schulte to Brinke
10:00pm CEST
Discussion with Daniel Polani
Crowdcast
Daniel Polani
Tuesday
, July 21
7:00am CEST
K4: Computational models of neural development
Crowdcast
Geoffrey J. Goodhill
1:00pm CEST
Discussion with Geoffrey Goodhill
Crowdcast
Geoffrey J. Goodhill
3:00pm CEST
W05 S03: Spatio-temporal dynamics in epilepsy: Models & Analysis
Crowdcast (W05)
Yujiang Wang
W1 S0: Methods of Information Theory in Comptuational Neuroscience - Opening Remarks
Crowdcast (W01)
Joseph Lizier
3:30pm CEST
W3 S0: Information-Theoretic Models in Psychology and Neuroscience (Opening remarks)
Crowdcast (W03)
Dimitrios Pinotsis • Randy Gallistel • Earl K. Miller
4:45pm CEST
W3 S3: Neural Circuits Underlying Bayesian Inference in Time Perception
Crowdcast (W03)
Devika Narain
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
W3 S4: Working Memory 2.0
Crowdcast (W03)
Earl K. Miller
6:45pm CEST
W10-3 Excitation-inhibition interactions govern the dynamics of spiking sequences and their replays: Combining modeling, electrophysiology and calcium imaging.
Crowdcast (W10)
Jiannis Taxidis
7:15pm CEST
W06 S5: A practical guide to accessing and using Allen Mouse Brain Connectivity Atlas data
Crowdcast (W06)
Jennifer Whitesell
7:25pm CEST
W3 S6: Characterising Sensory and Abstract Representations in Neural Ensembles
Crowdcast (W03)
Dimitrios Pinotsis
7:45pm CEST
W06 S6: Is cortex a hierarchically organized set of canonical local circuits?
Crowdcast (W06)
Stefan Mihalas
8:15pm CEST
W06 S7: Deep brain discovery: Learning how to interpret variability in neural structure
Crowdcast (W06)
Eva Dyer
Wednesday
, July 22
3:00pm CEST
W3 S7: Deep Inference and Information Gain
Crowdcast (W03)
Karl Friston
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
W9 S2 - Using reinforcement learning to train biophysically detailed models of visual-motor cortex to play Atari games
Crowdcast (W09)
Haroon Anwar • Sam Neymotin
6:15pm 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
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
Thursday
, July 23
5:30pm CEST
W06 S17: Functional computation in the mouse visual cortex
Crowdcast (W06)
Michael Buice
6:00pm CEST
W06 S18:Testing theories of sensory coding and learning with the Allen Institute's Brain Observatory
Crowdcast (W06)
Joel Zylberberg
8:30pm CEST
W06 S22: Discussion
Crowdcast (W06)
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CNS*2020 Online
Jul 18
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23, 2020
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, July 18
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, July 19
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, July 20
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, July 21
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, July 22
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, July 23
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Featured Talk
All
Circuits in Action
Hippocampus
Learning and Dynamics
Neurons to Circuits
Keynote
Keynote Speaker Forum
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Oral
All
Circuits in Action
Hippocampus
Learning and Dynamics
Neurons to Circuits
Sensory Systems
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All
Central Pattern Generator
Neurons to Circuits
Showcase
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W01: Methods of Information Theory in Computational Neuroscience
W02: Calcium signalling
W03: Information - Theoretic Models of Psychology and Neuroscience
W04: Tools and resources for developing and sharing models in computational neuroscience
W05: Spatiotemporal Dynamics in Neuroimaging: Models and Analysis
W06: Allen Institute data and tools
W07: Dynamics of Rhythm Generation: Role of Ionic Pumps; Exchangers; and Ion Homeostasis
W09: Machine learning and mechanistic modeling for understanding brain in health and disease
W10: Modelling Interneurons during Memory
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