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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.

James Henderson

School of Physics, The University of Sydney
Postdoc
Sydney, Australia

I'm interested in the intersection of neuroscience and A.I., so I enjoy discussing topics like plasticity, learning, deep learning and neural dynamics.

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 Tools and techniques to bridge the gap between models and closed-loop neuroscience experiments Link (T3)Pablo Varona • Rodrigo Amaducci • Manuel Reyes-Sanchez

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

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

11:30pm CEST

Introduction to the Brain Dynamics Toolbox CrowdcastStewart Heitmann

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

4:20pm CEST

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

4:40pm CEST

O5: How Stimulus Statistics Affect the Receptive Fields of Cells in Primary Visual Cortex CrowdcastAli Almasi

7:00pm CEST

P115: Approximating Information Filtering of a Two-stage Neural System Slot 08Gregory Knoll P18: Inhibitory Gating in The Dentate Gyrus Slot 11Cristian Estarellas P192: Estimating Transfer Entropy in Continuous Time For Spike Trains Slot 13David Shorten • Joseph Lizier P212: Neuron conduction delay plasticity for unsupervised learning Slot 12Joshua T Arnold P223: Less is More: Wiring-Economical Modular Networks Support Self-Sustained Firing-Economical Neural Avalanches for Efficient Processing Slot 05Changsong Zhou P224: Hopf Bifurcation in Mean Field Explains Critical Avalanches in Excitation-Inhibition Balanced Neuronal Networks: A Mechanism for Multiscale Variabilit Slot 06Changsong Zhou P35: Through synapses to spatial memory maps: a topological model Slot 01Yuri Dabaghian P36: Robust spatial memories encoded by transient neuronal networks Slot 01Yuri Dabaghian P47: Brain Dynamics and Structure-Function Relationships via Spectral Factorization and the Transfer Function Slot 12James Henderson P64: Gamma oscillations organized as localized burst patterns with anomalous propagation dynamics in primate cerebral cortex Slot 18Xian Long P65: Dynamical circuit mechanisms of attentional sampling Slot 19Guozhang Chen P98: Bayesian mechanics in the brain under the free-energy principle Slot 02Chang-Sub Kim

8:00pm CEST

P101: Representing predictability of sequence patterns in a random network with short-term plasticity Slot 03Thomas R. Knösche P106: Efficient communication in distributed simulations of spiking neuronal networks with gap junctions Slot 05Markus Diesmann P142: Using reinforcement learning to train biophysically detailed models of visual-motor cortex to play Atari games Slot 19Haroon Anwar P144: Closed loop parameter estimation using GPU acceleration with GeNN Slot 03Felix B. Kern P147: Seizure Forecasting from long-term EEG and ECG Data using Critical Slowing Principle Slot 16Wendy Xiong P186: Inhibitory neurons locate at a center of effective cortical networks, and have high ability to control other neurons. Slot 01Motoki Kajiwara P187: Modulation of the hierarchical gradient of cognitive information processing dynamics during rest and task Slot 12Oliver Cliff • Joseph Lizier P190: Neural Field Theory: Modelling development of topography via activity based mechanisms. Slot 18Nicholas Gale P195: Associative memory performance in peripherally-lesioned networks repaired by homeostatic structural plasticity Slot 12Ankur Sinha P27: Lessons from Artificial Neural Network for studying coding principles of Biological Neural Network Slot 11Hyojin Bae P4: Self-organization of connectivity in spiking neural networks with balanced excitation and inhibition Slot 10Jihoon Park P75: The covariance perceptron: theory and application Slot 20Matthieu Gilson P86: Studying neural mechanisms in recurrent neural network trained for multitasking depending on a context signal. Slot 13Cecilia Jarne

9:00pm CEST

P111: The impact of noise on the temporal patterning of neural synchronization Slot 02Leonid Rubchinsky P140: How hard are NP-complete problems for humans? Slot 17Pablo Franco P152: Face-selective neurons arise spontaneously in untrained deep neural networks Slot 07Min Song P153: Number-selective units can spontaneously arise in untrained deep neural networks Slot 13Jaeson Jang P161: Less is more: a new computational approach for analyzing EEG for brain computer interface applications Slot 09Farhad Goodarzy P162: Approximative models for enabling multi-scale simulations Slot 14Mikko Lehtimäki P176: Using Deep Convolutional Neural Networks to Visualise the Receptive Fields of High Level Visual Cortical Neurons Slot 18Brett Schmerl P59: Reverse engineering neural networks to identify their cost functions and implicit generative models Slot 17Takuya Isomura P6: Inference of functional connectivity in living neural networks Slot 09Sarah Marzen

11:00pm CEST

CNS Party Party: Whyville!jim Bower • Rebekah Evans

1:00pm CEST

F3: Neuronal morphology imposes a tradeoff between stability, accuracy and efficiency of synaptic scaling CrowdcastAdriano Bellotti

2:20pm CEST

O10: Neural flows: estimation of wave velocities and identification of singularities in 3D+t brain data CrowdcastPaula Sanz-Leon

3:00pm CEST

K3: Information and Decision-Making CrowdcastDaniel Polani

7:00pm CEST

P121: Avalanches and emergent activity patterns in simulated mouse primary motor cortex Slot 06Donald Doherty P133: Recurrent neural networks trained in multisensory integration tasks reveal a diversity of selectivity and structural properties Slot 07Jorge Mejias P158: Controllability for nonlinear dynamic brain system under biological constrains Slot 04Jiyoung Kang P164: Using entropy to compute phase transitions of large networks of neurons Slot 04Wei Qin P165: Using dynamical mean field theory to study synchronization in the brain. Slot 07Isabelle Harris P17: The Impacts of the Connectome on Coupled Networks of Wilson-Cowan Models with Homeostatic Plasticity Slot 20Wilten Nicola P26: Learning recurrent dynamic patterns in spiking neural networks Slot 19Christopher Kim P45: Exploring relevant spatiotemporal scales for analyses of brain dynamics Slot 17Xenia Kobeleva P71: Local homeostatic regulation of the spectral radius of echo-state networks Slot 17Fabian Schubert

8:00pm CEST

P148: Biophysically grounded mean-field models of neural populations under electrical stimulation Slot 20Caglar Cakan P15: Learning sequences of correlated patterns in recurrent networks Slot 16Subhadra Mokashe P169: Entrainment of competitive threshold-linear networks Slot 04Andrea Bel P179: Synaptic short-term plasticity and temporal filters: interplay of synaptic and postsynaptic dynamics Slot 08Yugarshi Mondal P180: Mean Field Theory Inference and Learning in Networks with Stochastic Natural Exponential Family Neurons Slot 19Ivan Davidovich P198: Voltage-Dependent Synaptic Plasticity in Magnetic Tunnel Junctions Slot 08Saeideh Ramezani Akbarabadi P46: Faster Gradient Descent Learning Slot 05Ho Ling Li P61: Self-supervision mechanism of multiple dendritic compartments for temporal feature learning Slot 19Milena Menezes Carvalho

9:00pm CEST

P136: Effect of Independent Noise on the Synchronization of Interacting Excitatory-Inhibitory Networks Slot 01Lucas Rebscher P138: Processing Capacity of recurrent spiking networks Slot 05Tobias Schulte to Brinke P146: Larger GPU-accelerated brain simulations with procedural connectivity Slot 05James C Knight P3: Using Higher-Order Networks to Analyze Non-Linear Dynamics in Neural Network Models Slot 14Xerxes Arsiwalla P84: Brainpower – Investigating the role of power constraints in neural network plasticity Slot 02Silviu Ungureanu P90: Texture-like neural representations Slot 12Emil Dmitruk P99: Integrated Model of Reservoir Computing and Autoencoder for Explainable Artificial Intelligence Slot 15Hoon-Hee Kim

7:00am CEST

K4: Computational models of neural development CrowdcastGeoffrey J. Goodhill

1:00pm CEST

Discussion with Geoffrey Goodhill CrowdcastGeoffrey J. Goodhill

2:00pm CEST

W05 S00: Opening Remarks On Spatiotemporal Dynamics in Neuroimaging: Models and Analysis Crowdcast (W05)Paula Sanz-Leon • James Roberts • Changsong Zhou • Yujiang Wang • Patricio Orio • Katharina Glomb • John Griffiths • Johan van der Meer

3:00pm CEST

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

3:05pm CEST

W1 S1: Inferring what to do Crowdcast (W01)Thomas Parr

3:30pm CEST

W05 S04: Dynamical richness emerging from fixed connectomes. Crowdcast (W05)Patricio Orio

3:35pm CEST

W3 S1: Connecting Perceptual Bias and Discriminability with Power-Law Efficient Codes Crowdcast (W03)Jonathan Pillow

3:50pm CEST

W1 S2: A differentiable measure of pointwise shared information Crowdcast (W01)Abdullah Makkeh

4:00pm CEST

W05 S05: Tracking fast spatiotemporal dynamics in EEG with network harmonics Crowdcast (W05)Katharina Glomb W2 S09: Synaptic plasticity rules with physiological calcium levels Crowdcast (W02)Johnatan Aljadeff

4:10pm CEST

W3 S2: Complexity, information, and statistical inference by humans Crowdcast (W03)Vijay Balasubramanian

4:30pm CEST

W2 S10: Calcium as trigger of synaptic plasticity Crowdcast (W02)Michael Graupner

4:45pm CEST

W3 S3: Neural Circuits Underlying Bayesian Inference in Time Perception Crowdcast (W03)Devika Narain

5:00pm CEST

W05 S07: Functional reorganisation of brain dynamics during naturalistic movie watching assessed with Hidden Markov Modeling Crowdcast (W05)Johan van der Meer 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

6:50pm CEST

W3 S5: Reconciling the Spatial and Mnemonic Views of the Hippocampus Crowdcast (W03)Elizabeth A. Buffalo

7:00pm CEST

W4 S5: The Brian Simulator Crowdcast (W04)Dan Goodman

7:25pm CEST

W3 S6: Characterising Sensory and Abstract Representations in Neural Ensembles Crowdcast (W03)Dimitris Pinotsis

7:30pm CEST

W10-4 Learning complementary inhibitory weight profiles to allow flexible switching. Crowdcast (W10)Everton Agnes

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 W10-5 Fast, Compressible Learning in the Hippocampus using Interneuron Sequences Crowdcast (W10)Wilten Nicola

9:45am CEST

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

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

W4 S10: The Human Brain Project (HBP) Brain Simulation Platform (BSP) Crowdcast (W04)Luca Bologna

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

W4 S12: NeuroML and Open Source Brain Crowdcast (W04)Padraig Gleeson

6:15pm CEST

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

7:00pm CEST

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