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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.

Dimitra Maoutsa

Berlin, Germany

https://dimitra-maoutsa.gitlab.io/

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

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

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

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

4:40pm CEST

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

5:00pm CEST

O6: Analysis and Modelling of Response Features of Accessory Olfactory Bulb Neurons CrowdcastYoram Ben-Shaul

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 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 P41: Reaction-diffusion simulations of astrocytic Ca2+ signals in realistic geometries Slot 09Audrey Denizot 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 P79: Frequency-dependent synaptic gain in a computational model of mouse thoracic sympathetic postganglionic neurons Slot 20Astrid Prinz P98: Bayesian mechanics in the brain under the free-energy principle Slot 02Chang-Sub Kim

8:00pm CEST

P106: Efficient communication in distributed simulations of spiking neuronal networks with gap junctions Slot 05Markus Diesmann P108: Ensemble empirical mode decomposition of noisy local filed potentials from optogenetic data Slot 17Sorinel Oprisan P119: Relating transfer entropy to network structure and motifs, and implications for brain network inference Slot 10Leonardo Novelli 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 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 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 P116: Astrocyte simulations with realistic morphologies reveal diverse calcium transients in soma and processes Slot 08Ippa Seppala 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

2:00pm CEST

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

3:00pm CEST

K3: Information and Decision-Making CrowdcastDaniel Polani

6:20pm CEST

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

7:00pm CEST

P110: Synchronization and resilience in the Kuramoto white matter network model with adaptive state-dependent delays Slot 18Daniel Park 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 P139: Stereotyped population dynamics in the medial entorhinal cortex Slot 14Soledad Gonzalo Cogno P158: Controllability for nonlinear dynamic brain system under biological constrains Slot 04Jiyoung Kang P163: Biophysics and dynamics shape the cross-correlation properties of monosynaptic connections Slot 21Horacio Rotstein 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 P173: How energy constraints shape brain dynamics during hypoxia and epileptic seizures Slot 08Shrey Dutta P17: The Impacts of the Connectome on Coupled Networks of Wilson-Cowan Models with Homeostatic Plasticity Slot 20Wilten Nicola P1: Homeostatic recognition circuits emulating network-wide bursting and surprise Slot 20Tsvi Achler P201: Frequency-separated Principal Components Analysis of Cortical Population Activity Slot 14Jean-Philippe Thivierge P211: Neural Networks Architectures That Detect Visual Motion like Biological Brains Slot 05Hamish Pratt 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 P63: Morphological determinants of neuronal dynamics and function Slot 05Christoph Kirch

8:00pm CEST

P148: Biophysically grounded mean-field models of neural populations under electrical stimulation Slot 20Caglar Cakan P14: Estimation of the cortical microconnectome from in vivo spiking activity in the macaque monkey Slot 12Aitor Morales-Gregorio 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 P72: Comparison of surrogate techniques for evaluation of spatio-temporal patterns in massively parallel spike trains Slot 13Alessandra Stella

7:00am CEST

K4: Computational models of neural development CrowdcastGeoffrey J. Goodhill

3:00pm CEST

W05 S03: Spatio-temporal dynamics in epilepsy: Models & Analysis Crowdcast (W05)Yujiang Wang 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

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

5:45pm 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

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

7:25pm CEST

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

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

3:00pm CEST

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

7:00pm CEST

W4 Discussion 2: Should detailed modeling be more widely used? should tools/standards converge or diversify? Crowdcast (W04)Salvador Dura-Bernal • Kael Dai • Padraig Gleeson