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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.

NJ

Nikola Jajcay

Neural Information Processing Group, Technische Universität Berlin
postdoc
Berlin

https://ni.tu-berlin.de/

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

7:00pm CEST

Methods from Data Science for Model Simulation, Analysis, and Visualization Link (T6)Cengiz Gunay • Anca Doloc-Mihu

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

1:40pm 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

3:00pm CEST

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

4:20pm CEST

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

5:40pm CEST

F2: Using evolutionary algorithms to explore single-cell heterogeneity and microcircuit operation in the hippocampus CrowdcastAndrea Navas-Olive

6:20pm CEST

O7: 'Awake Delta' and Theta-Rhythmic Modes of Hippocampal Network Activity Track Intermittent Locomotor Behaviors in Rat CrowdcastNathan Schultheiss

7:00pm CEST

P115: Approximating Information Filtering of a Two-stage Neural System Slot 08Gregory Knoll P192: Estimating Transfer Entropy in Continuous Time For Spike Trains Slot 13David Shorten • Joseph Lizier P193: Input strength dependence of the beta component of gamma-band auditory steady-state responses in patients with schizophrenia Slot 10Christoph Metzner P200: Computational modeling of the input/output mapping in the cerebellar cortex Slot 19Sungho Hong 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 P47: Brain Dynamics and Structure-Function Relationships via Spectral Factorization and the Transfer Function Slot 12James Henderson P48: Large-scale spiking network models of primate cortex as research platforms Slot 15Sacha van Albada P76: Inferring a simple mechanism for alpha-blocking by fitting a neural population model to EEG spectra Slot 08Agus Hartoyo P98: Bayesian mechanics in the brain under the free-energy principle Slot 02Chang-Sub Kim

8:00pm CEST

P10: Using Adaptive Exponential Integrate-and-Fire neurons to study general principles of patho-topology of cerebellar networks Slot 19Maurizio De Pitta P113: Dynamically Damped Stochastic Alpha-band Relaxation Activity in 1/f Noise and Alpha Blocking in Resting M/EEG Slot 15Rick Evertz P119: Relating transfer entropy to network structure and motifs, and implications for brain network inference Slot 10Leonardo Novelli P125: A predictive coding model of transitive inference Slot 07Moritz Moeller P135: A cortical model examining mismatch negativity deficits in schizophrenia Slot 06Gili Karni P144: Closed loop parameter estimation using GPU acceleration with GeNN Slot 03Felix B. Kern P183: Universal fingerprints of slow-wave activity in in vivo, in vitro and in silico cortical networks Slot 01Alessandra Camassa P186: Inhibitory neurons locate at a center of effective cortical networks, and have high ability to control other neurons. Slot 01Motoki Kajiwara P190: Neural Field Theory: Modelling development of topography via activity based mechanisms. Slot 18Nicholas Gale 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 P96: Bayesian network change point detection for dynamic functional connectivity Slot 20Lingbin Bian

9:00pm CEST

P111: The impact of noise on the temporal patterning of neural synchronization Slot 02Leonid Rubchinsky P117: The interplay of neural mechanisms regulates spontaneous cortical network activity: Inferring the role of key mechanisms using data-driven modeling Slot 16Jugoslava Acimovic P127: A Quantification of Cross-Frequency Coupling via Topological Methods Slot 13Alan Cherne P143: Biophysically-detailed multiscale model of macaque auditory thalamocortical circuits reproduces physiological oscillations Slot 10Salvador Dura-Bernal P162: Approximative models for enabling multi-scale simulations Slot 14Mikko Lehtimäki P55: Identifying Changes in Whole-Brain Functional Connectivity in Complex Longitudinal Clinical Trials Slot 07Sidhant Chopra P62: Large Scale Discrimination between Neural Models and Experimental Data Slot 08Russell Jarvis

10:00pm CEST

Discussion with Zhaoping Li CrowdcastLi Zhaoping

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

2:00pm CEST

O9: Discovering synaptic mechanisms underlying the propagation of cortical activity: A model-driven experimental and data analysis approach CrowdcastHeidi Teppola

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

5:40pm CEST

O12: A Spatial Developmental Generative Model of Human Brain Structural Connectivity CrowdcastStuart Oldham

6:00pm CEST

O13: Cortical integration and segregation explained by harmonic modes of functional connectivity CrowdcastKatharina Glomb

6:20pm CEST

O14: Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data CrowdcastPedro Mediano

7:00pm CEST

P104: Integrated cortical, thalamic and basal ganglia model of brain function: validation against functional requirements Slot 10Sébastien Naze P122: Adaptive activity-dependent myelination promotes synchronization in large-scale brain networks Slot 13Rabiya Noori 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 P171: Neural routing: Determination of the fastest flows and fastest routes in brain networks Slot 01Paula Sanz-Leon P172: Spatiotemporal brain waves on resting-state MEG data Slot 08James Pang P201: Frequency-separated Principal Components Analysis of Cortical Population Activity Slot 14Jean-Philippe Thivierge P222: High-resolution connectivity analyses Slot 03Sina Mansour L. P45: Exploring relevant spatiotemporal scales for analyses of brain dynamics Slot 17Xenia Kobeleva P69: Population Model of Oscillatory Dynamics in Hippocampal CA1 and CA3 Regions Slot 12Ashraya Samba Shiva

8:00pm CEST

P12: A population level model of movement disorder oscillations and deep brain stimulation Slot 17Nada Yousif P148: Biophysically grounded mean-field models of neural populations under electrical stimulation Slot 20Caglar Cakan P149: Towards large-scale model of sleeping brain: sleep spindles in network mass models Slot 10Nikola Jajcay P169: Entrainment of competitive threshold-linear networks Slot 04Andrea Bel P180: Mean Field Theory Inference and Learning in Networks with Stochastic Natural Exponential Family Neurons Slot 19Ivan Davidovich P188: Neuro-PC: Causal Functional Connectivity for Neural Dynamics Slot 02Rahul Biswas P28: Inhibitory gain allows transitions between integrated and segregated states: a neuromodulatory analysis from whole-brain models Slot 18Carlos Coronel

9:00pm CEST

P136: Effect of Independent Noise on the Synchronization of Interacting Excitatory-Inhibitory Networks Slot 01Lucas Rebscher P3: Using Higher-Order Networks to Analyze Non-Linear Dynamics in Neural Network Models Slot 14Xerxes Arsiwalla P50: Spatial denoising through topographic modularity in networks of spiking neurons Slot 02Barna Zajzon P90: Texture-like neural representations Slot 12Emil Dmitruk P91: A unified framework for the application and evaluation of different methods for neural parameter optimization Slot 10Szabolcs Kali

10:00pm CEST

Discussion with Daniel Polani CrowdcastDaniel Polani

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

2:10pm CEST

W05 S01: Neural Flows: a toolbox for estimation of velocities, and sparse representation of whole-brain spatiotemporal wave dynamics. Crowdcast (W05)Paula Sanz-Leon

2:30pm CEST

W05 S02: Hierarchical Connectome Modes and Critical State Jointly Maximize Human Brain Functional Diversity Crowdcast (W05)Changsong Zhou

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

W3 S0: Information-Theoretic Models in Psychology and Neuroscience (Opening remarks) Crowdcast (W03)Dimitrios 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

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

4:10pm CEST

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

4:45pm CEST

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

5:00pm CEST

W1 S3: Using lossy representations to find the neural code? Crowdcast (W01)Sarah Marzen

5:45pm CEST

W1 S4: Motifs for processes on networks Crowdcast (W01)Alice Schwarze

6:15pm CEST

W1 S5: Inference of topology and the nature of synapses in neuronal networks Crowdcast (W01)Fernando S Borges

7:45pm CEST

W06 S6: Is cortex a hierarchically organized set of canonical local circuits? Crowdcast (W06)Stefan Mihalas

9:00am CEST

W1 S6: Structure of information to understand the physical basis of consciousness Crowdcast (W01)Naotsugu Tsuchiya

9:45am CEST

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

11:00am CEST

W1 S8: Developing and testing the concept of intersection information using PID Crowdcast (W01)Marco Celotto

11:30am CEST

W1 S9: Exploring relevant spatiotemporal scales for analyses of brain dynamics Crowdcast (W01)Xenia Kobeleva

12:00pm CEST

W1 S10: Information flow under visual cortical magnification: Gaussianization estimates and theoretical results Crowdcast (W01)Jesus Malo

3:00pm CEST

W3 S7: Deep Inference and Information Gain Crowdcast (W03)Karl Friston

3:35pm CEST

W3 S8: The Magic of Neocortex: Pyramidal Cells that are Context-Sensitive Two-Point Processors as Seen by Three-Way Mutual Information Decomposition Crowdcast (W03)Bill Phillips

3:45pm CEST

W1 S12: Multi-target information decomposition and applications to integrated information theory Crowdcast (W01)Pedro Mediano

5:00pm CEST

W1 S13: Information Theory for Cognitive Modelling: Speculations and Directions Crowdcast (W01)Daniel Polani

5:45pm CEST

W1 S14: Dynamical modeling, decoding, and control of multiscale brain networks Crowdcast (W01)Maryam Shanechi

6:15pm CEST

W9 S5 - Inferring nonlinear dynamical systems from multi-modal psychiatric data by statistical deep learning Crowdcast (W09)Daniel Durstewitz

6:50pm CEST

W3 S12: Probability Distortion Maximizes Mutual Information Crowdcast (W03)Laurence T. Maloney