CNS*2020 Online has ended

Create Your Own Event

CNS*2020 Online

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

Joshua T Arnold

ITEE, University of Queensland
PhD Student
Brisbane, Australia

Lets talk about computational learning rules, adaptive and plastic systems, and neuronal delays. What's wrong and right with STDP? Which learning mechanisms interact well or poorly with each other? Interested in the role of conduction delays for learning or learning mechanisms generally? Lets chat!

My Friends

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

Building mechanistic multiscale models, from molecules to networks, using NEURON and NetPyNE Link (T2)Robert McDougal • William W Lytton • Joe Graham • Salvador Dura-Bernal Tools and techniques to bridge the gap between models and closed-loop neuroscience experiments Link (T3)Pablo Varona • Rodrigo Amaducci • Manuel Reyes-Sanchez

10:00pm CEST

Discussion with Matt Botvinick CrowdcastMatthew Botvinick

11:00pm CEST

Information theory and directed network inference (using JIDT and IDTxl) CrowdcastJoseph Lizier • Leonardo Novelli

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

2:00pm CEST

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

2:20pm CEST

O3: Coupled experimental and modeling representation of the mechanisms of epileptic discharges in rat brain slices CrowdcastAnton Chizhov

3:00pm CEST

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

7:00pm CEST

P48: Large-scale spiking network models of primate cortex as research platforms Slot 15Sacha van Albada P94: Brain rhythms enhance top-down influence on V1 responses in perceptual learning Slot 14Ryo Tani

8:00pm CEST

P101: Representing predictability of sequence patterns in a random network with short-term plasticity Slot 03Thomas R. Knösche P102: Ephaptic coupling in white matter fibre bundles modulates axonal transmission delays Slot 04Thomas R. Knösche P106: Efficient communication in distributed simulations of spiking neuronal networks with gap junctions Slot 05Markus Diesmann P125: A predictive coding model of transitive inference Slot 07Moritz Moeller P16: A computational model for time cell-based learning of interval timing Slot 17Sorinel Oprisan P186: Inhibitory neurons locate at a center of effective cortical networks, and have high ability to control other neurons. Slot 01Motoki Kajiwara P20: Effects of dopamine on networks of barrel cortex Slot 02Fleur Zeldenrust P27: Lessons from Artificial Neural Network for studying coding principles of Biological Neural Network Slot 11Hyojin Bae P43: Responses of a Purkinje cell model to inhibition and excitation Slot 09Gabriela Capo Rangel P4: Self-organization of connectivity in spiking neural networks with balanced excitation and inhibition Slot 10Jihoon Park

9:00pm CEST

P111: The impact of noise on the temporal patterning of neural synchronization Slot 02Leonid Rubchinsky

11:00pm CEST

CNS Party Party: Whyville!jim Bower • Rebekah Evans

7:00pm CEST

P26: Learning recurrent dynamic patterns in spiking neural networks Slot 19Christopher Kim

8:00pm CEST

P199: Stimulation-Induced Decoupling by Spike-Timing-Dependent Plasticity in Neuronal Networks with Propagation Delays Slot 18Mojtaba Madadi Asl

9:15pm CEST

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