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Circuits in Action
Hippocampus
Learning and Dynamics
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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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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.
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
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
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
1:40pm 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
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
P115: Approximating Information Filtering of a Two-stage Neural System
Slot 08
Gregory Knoll
P18: Inhibitory Gating in The Dentate Gyrus
Slot 11
Cristian Estarellas
P192: Estimating Transfer Entropy in Continuous Time For Spike Trains
Slot 13
David Shorten • Joseph Lizier
P212: Neuron conduction delay plasticity for unsupervised learning
Slot 12
Joshua T Arnold
P223: Less is More: Wiring-Economical Modular Networks Support Self-Sustained Firing-Economical Neural Avalanches for Efficient Processing
Slot 05
Changsong Zhou
P224: Hopf Bifurcation in Mean Field Explains Critical Avalanches in Excitation-Inhibition Balanced Neuronal Networks: A Mechanism for Multiscale Variabilit
Slot 06
Changsong Zhou
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
P47: Brain Dynamics and Structure-Function Relationships via Spectral Factorization and the Transfer Function
Slot 12
James Henderson
P64: Gamma oscillations organized as localized burst patterns with anomalous propagation dynamics in primate cerebral cortex
Slot 18
Xian Long
P65: Dynamical circuit mechanisms of attentional sampling
Slot 19
Guozhang Chen
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
P106: Efficient communication in distributed simulations of spiking neuronal networks with gap junctions
Slot 05
Markus Diesmann
P142: Using reinforcement learning to train biophysically detailed models of visual-motor cortex to play Atari games
Slot 19
Haroon Anwar
P144: Closed loop parameter estimation using GPU acceleration with GeNN
Slot 03
Felix B. Kern
P147: Seizure Forecasting from long-term EEG and ECG Data using Critical Slowing Principle
Slot 16
Wendy Xiong
P186: Inhibitory neurons locate at a center of effective cortical networks, and have high ability to control other neurons.
Slot 01
Motoki Kajiwara
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
P195: Associative memory performance in peripherally-lesioned networks repaired by homeostatic structural plasticity
Slot 12
Ankur Sinha
P27: Lessons from Artificial Neural Network for studying coding principles of Biological Neural Network
Slot 11
Hyojin Bae
P4: Self-organization of connectivity in spiking neural networks with balanced excitation and inhibition
Slot 10
Jihoon Park
P75: The covariance perceptron: theory and application
Slot 20
Matthieu Gilson
P86: Studying neural mechanisms in recurrent neural network trained for multitasking depending on a context signal.
Slot 13
Cecilia Jarne
9:00pm CEST
P111: The impact of noise on the temporal patterning of neural synchronization
Slot 02
Leonid Rubchinsky
P140: How hard are NP-complete problems for humans?
Slot 17
Pablo Franco
P152: Face-selective neurons arise spontaneously in untrained deep neural networks
Slot 07
Min Song
P153: Number-selective units can spontaneously arise in untrained deep neural networks
Slot 13
Jaeson Jang
P161: Less is more: a new computational approach for analyzing EEG for brain computer interface applications
Slot 09
Farhad Goodarzy
P162: Approximative models for enabling multi-scale simulations
Slot 14
Mikko Lehtimäki
P176: Using Deep Convolutional Neural Networks to Visualise the Receptive Fields of High Level Visual Cortical Neurons
Slot 18
Brett Schmerl
P59: Reverse engineering neural networks to identify their cost functions and implicit generative models
Slot 17
Takuya Isomura
P6: Inference of functional connectivity in living neural networks
Slot 09
Sarah Marzen
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
2:20pm CEST
O10: Neural flows: estimation of wave velocities and identification of singularities in 3D+t brain data
Crowdcast
Paula Sanz-Leon
3:00pm CEST
K3: Information and Decision-Making
Crowdcast
Daniel Polani
7:00pm CEST
P121: Avalanches and emergent activity patterns in simulated mouse primary motor cortex
Slot 06
Donald Doherty
P133: Recurrent neural networks trained in multisensory integration tasks reveal a diversity of selectivity and structural properties
Slot 07
Jorge Mejias
P158: Controllability for nonlinear dynamic brain system under biological constrains
Slot 04
Jiyoung Kang
P164: Using entropy to compute phase transitions of large networks of neurons
Slot 04
Wei Qin
P165: Using dynamical mean field theory to study synchronization in the brain.
Slot 07
Isabelle Harris
P17: The Impacts of the Connectome on Coupled Networks of Wilson-Cowan Models with Homeostatic Plasticity
Slot 20
Wilten Nicola
P26: Learning recurrent dynamic patterns in spiking neural networks
Slot 19
Christopher Kim
P45: Exploring relevant spatiotemporal scales for analyses of brain dynamics
Slot 17
Xenia Kobeleva
P71: Local homeostatic regulation of the spectral radius of echo-state networks
Slot 17
Fabian Schubert
8:00pm CEST
P148: Biophysically grounded mean-field models of neural populations under electrical stimulation
Slot 20
Caglar Cakan
P15: Learning sequences of correlated patterns in recurrent networks
Slot 16
Subhadra Mokashe
P169: Entrainment of competitive threshold-linear networks
Slot 04
Andrea Bel
P179: Synaptic short-term plasticity and temporal filters: interplay of synaptic and postsynaptic dynamics
Slot 08
Yugarshi Mondal
P180: Mean Field Theory Inference and Learning in Networks with Stochastic Natural Exponential Family Neurons
Slot 19
Ivan Davidovich
P198: Voltage-Dependent Synaptic Plasticity in Magnetic Tunnel Junctions
Slot 08
Saeideh Ramezani Akbarabadi
P46: Faster Gradient Descent Learning
Slot 05
Ho Ling Li
P61: Self-supervision mechanism of multiple dendritic compartments for temporal feature learning
Slot 19
Milena Menezes Carvalho
9:00pm CEST
P136: Effect of Independent Noise on the Synchronization of Interacting Excitatory-Inhibitory Networks
Slot 01
Lucas Rebscher
P138: Processing Capacity of recurrent spiking networks
Slot 05
Tobias Schulte to Brinke
P146: Larger GPU-accelerated brain simulations with procedural connectivity
Slot 05
James C Knight
P3: Using Higher-Order Networks to Analyze Non-Linear Dynamics in Neural Network Models
Slot 14
Xerxes Arsiwalla
P84: Brainpower – Investigating the role of power constraints in neural network plasticity
Slot 02
Silviu Ungureanu
P90: Texture-like neural representations
Slot 12
Emil Dmitruk
P99: Integrated Model of Reservoir Computing and Autoencoder for Explainable Artificial Intelligence
Slot 15
Hoon-Hee Kim
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
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)
Dimitrios 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
Wednesday
, July 22
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 Leonardo 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
Thursday
, July 23
7:00pm CEST
W06 S19:Explorations of self-supervised learning in the neocortex using open data
Crowdcast (W06)
Blake Richards
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CNS*2020 Online
Jul 18
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23, 2020
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, July 23
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Learning and Dynamics
Neurons to Circuits
Sensory Systems
Structural and Functional Connectivity
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Central Pattern Generator
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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Renaud Jolivet
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