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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.

Leonardo Novelli

Centre for Complex Systems, The University of Sydney
PhD Student
Sydney

https://researchgate.net/profile/Leonardo_Novelli2

My Friends

12:00pm CEST

Characterizing neural dynamics using highly comparative time-series analysis Link (T7)Ben D. Fulcher

11:00pm CEST

Information theory and directed network inference (using JIDT and IDTxl) CrowdcastJoseph Lizier • Leonardo Novelli

7:00pm CEST

P192: Estimating Transfer Entropy in Continuous Time For Spike Trains Slot 13David Shorten • Joseph Lizier 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 P85: The Neuron growth and death model and simulator Slot 07Yuko Ishiwaka

8:00pm CEST

P101: Representing predictability of sequence patterns in a random network with short-term plasticity Slot 03Thomas R. Knösche P119: Relating transfer entropy to network structure and motifs, and implications for brain network inference Slot 10Leonardo Novelli P187: Modulation of the hierarchical gradient of cognitive information processing dynamics during rest and task Slot 12Oliver Cliff • Joseph Lizier P82: Contrast invariant tuning in primary visual cortex Slot 14Hamish Meffin P96: Bayesian network change point detection for dynamic functional connectivity Slot 20Lingbin Bian

9:00pm CEST

P55: Identifying Changes in Whole-Brain Functional Connectivity in Complex Longitudinal Clinical Trials Slot 07Sidhant Chopra P59: Reverse engineering neural networks to identify their cost functions and implicit generative models Slot 17Takuya Isomura

11:00pm CEST

CNS Party Party: Whyville!jim Bower • Rebekah Evans

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

6:20pm CEST

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

7:00pm CEST

P137: General anesthesia reduces complexity and temporal asymmetry of the informational structures derived from neural recordings in Drosophila Slot 15Roberto Munoz P171: Neural routing: Determination of the fastest flows and fastest routes in brain networks Slot 01Paula Sanz-Leon P222: High-resolution connectivity analyses Slot 03Sina Mansour L.

8:00pm CEST

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

3:05pm CEST

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

3:50pm CEST

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

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

6:30pm CEST

W4 Discussion 1: Where should we be in 5 years and what tools/resources are missing? Crowdcast (W04)Salvador Dura-Bernal • Kael Dai • Padraig Gleeson

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

12:00pm CEST

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

3:00pm CEST

W1 S11: Synergistic information in a dynamical model implemented on the human structural connectome reveals spatially distinct associations with age Crowdcast (W01)Daniele Marinazzo W3 S7: Deep Inference and Information Gain Crowdcast (W03)Karl Friston

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

6:00pm CEST

W06 S11: Mapping the Connectivity of Cell Types with EM Connectomics Crowdcast (W06)Nuno da Costa

6:15pm CEST

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

6:30pm CEST

W1 S15: Wrap-up Crowdcast (W01)Joseph Lizier