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Circuits in Action
Hippocampus
Learning and Dynamics
Neurons to Circuits
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Oral
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Circuits in Action
Hippocampus
Learning and Dynamics
Neurons to Circuits
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Structural and Functional Connectivity
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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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Anthony (Tony) Burkitt
Department of Biomedical Engineering, University of Melbourne
Chair of Bio-Signals and Bio-Systems
Melbourne, Australia
https://findanexpert.unimelb.edu.au/profile/5669-anthony-burkitt
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
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
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
6:20pm CEST
O7: 'Awake Delta' and Theta-Rhythmic Modes of Hippocampal Network Activity Track Intermittent Locomotor Behaviors in Rat
Crowdcast
Nathan Schultheiss
7:00pm CEST
P130: Unifying information theory and machine learning in a model of cochlear implant electrode discrimination
Slot 11
(Demi) Xiao Gao
P175: Analytic Model for Feature Maps in the Primary Visual Cortex
Slot 17
Xiaochen Liu
P192: Estimating Transfer Entropy in Continuous Time For Spike Trains
Slot 13
David Shorten • Joseph Lizier
P210: Seizure pathways change on circadian and slower timescales in individual patients with focal epilepsy
Slot 05
Yujiang Wang
P212: Neuron conduction delay plasticity for unsupervised learning
Slot 12
Joshua T Arnold
P224: Hopf Bifurcation in Mean Field Explains Critical Avalanches in Excitation-Inhibition Balanced Neuronal Networks: A Mechanism for Multiscale Variabilit
Slot 06
Changsong Zhou
P48: Large-scale spiking network models of primate cortex as research platforms
Slot 15
Sacha van Albada
P81: A Computational Neural Model of Pattern Motion Selectivity of MT Neurons
Slot 18
Parvin Zarei Eskikand
P94: Brain rhythms enhance top-down influence on V1 responses in perceptual learning
Slot 14
Ryo Tani
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
P125: A predictive coding model of transitive inference
Slot 07
Moritz Moeller
P16: A computational model for time cell-based learning of interval timing
Slot 17
Sorinel Oprisan
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
P53: A simple, non-stationary normalization model to explain and successfully predict change detection in monkey area MT
Slot 16
Detlef Wegener
P75: The covariance perceptron: theory and application
Slot 20
Matthieu Gilson
P82: Contrast invariant tuning in primary visual cortex
Slot 14
Hamish Meffin
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
P117: The interplay of neural mechanisms regulates spontaneous cortical network activity: Inferring the role of key mechanisms using data-driven modeling
Slot 16
Jugoslava Acimovic
P134: A fluid hierarchy in multisensory integration properties of large-scale cortical networks
Slot 19
Jorge Mejias
P143: Biophysically-detailed multiscale model of macaque auditory thalamocortical circuits reproduces physiological oscillations
Slot 10
Salvador Dura-Bernal
P161: Less is more: a new computational approach for analyzing EEG for brain computer interface applications
Slot 09
Farhad Goodarzy
P168: Spike initiation properties in the axon: simulations in a biophysically detailed model
Slot 20
Nooshin Abdollahi
P170: Optically imaged map of orientation preferences in visual cortex of an Australian marsupial, the Tammar Wallaby Macropus eugenii.
Slot 05
Young Jun Jung
P176: Using Deep Convolutional Neural Networks to Visualise the Receptive Fields of High Level Visual Cortical Neurons
Slot 18
Brett Schmerl
P57: Motor Cortex Encodes A Value Function Consistent With Reinforcement Learning
Slot 06
Venkata Tarigoppula
P59: Reverse engineering neural networks to identify their cost functions and implicit generative models
Slot 17
Takuya Isomura
P68: Large-scale calcium imaging of spontaneous activity in larval zebrafish reveals signatures of criticality
Slot 04
Michael McCullough
P6: Inference of functional connectivity in living neural networks
Slot 09
Sarah Marzen
P89: Quantification of changes in motor imagery skill during brain-computer interface use
Slot 02
James Bennett
P92: Modelling the responses of ON and OFF retinal ganglion cells to infrared neural stimulation
Slot 05
James Begeng
11:00pm CEST
CNS Party
Party: Whyville!
jim Bower • Rebekah Evans
Monday
, July 20
6:00pm CEST
O13: Cortical integration and segregation explained by harmonic modes of functional connectivity
Crowdcast
Katharina Glomb
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
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
P173: How energy constraints shape brain dynamics during hypoxia and epileptic seizures
Slot 08
Shrey Dutta
P1: Homeostatic recognition circuits emulating network-wide bursting and surprise
Slot 20
Tsvi Achler
P214: Bayesian Model for Multisensory Integration and Segregation
Slot 11
Ma Xiangyu
P219: Interpretable modeling of neurons in cortical area V4 via compressed convolutional neural networks
Slot 15
Reza Abbasi-Asl
P220: Extracellular positive spikes in cat primary visual cortex may correspond from the axons of cells originating from the thalamus
Slot 01
Shi Hai Sun
P26: Learning recurrent dynamic patterns in spiking neural networks
Slot 19
Christopher Kim
P69: Population Model of Oscillatory Dynamics in Hippocampal CA1 and CA3 Regions
Slot 12
Ashraya Samba Shiva
8:00pm CEST
P148: Biophysically grounded mean-field models of neural populations under electrical stimulation
Slot 20
Caglar Cakan
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
P188: Neuro-PC: Causal Functional Connectivity for Neural Dynamics
Slot 02
Rahul Biswas
P199: Stimulation-Induced Decoupling by Spike-Timing-Dependent Plasticity in Neuronal Networks with Propagation Delays
Slot 18
Mojtaba Madadi Asl
P204: Stabilization of spiking neural networks using stochastic and high-frequency neurostimulation disrupts seizure-like transitions
Slot 07
Scott Rich
P205: Development of efficient connectivity for reliable signal transmission through STDP
Slot 01
Hedyeh Rezaei
P46: Faster Gradient Descent Learning
Slot 05
Ho Ling Li
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
Tuesday
, July 21
7:00am CEST
K4: Computational models of neural development
Crowdcast
Geoffrey J. Goodhill
9:30am CEST
W2 S01: Elucidating the role of cell architecture and its remodeling in maintaining a healthy heartbeat using high-resolution 3D computational models.
Crowdcast (W02)
Vijay Rajagopal
1:00pm CEST
Discussion with Geoffrey Goodhill
Crowdcast
Geoffrey J. Goodhill
2:00pm CEST
OCNS Members' meeting
Crowdcast
3:30pm CEST
W3 S0: Information-Theoretic Models in Psychology and Neuroscience (Opening remarks)
Crowdcast (W03)
Dimitris Pinotsis • Randy Gallistel • Earl K. Miller
3:35pm CEST
W3 S1: Connecting Perceptual Bias and Discriminability with Power-Law Efficient Codes
Crowdcast (W03)
Jonathan Pillow
4:00pm CEST
W2 S09: Synaptic plasticity rules with physiological calcium levels
Crowdcast (W02)
Johnatan Aljadeff
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
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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
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Circuits in Action
Hippocampus
Learning and Dynamics
Neurons to Circuits
Keynote
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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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