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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.

BM

Borjan Milinkovic

University of Melbourne
PhD Candidate

My research explores applying information-theoretic measures of emergence to simulate large-scale brain networks and neurophysiological data such as EEG in order to determine the emergence landscape of brain dynamics underlying global states of consciousness.

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

Building mechanistic multiscale models, from molecules to networks, using NEURON and NetPyNE Link (T2)Robert McDougal • William W Lytton • Joe Graham • Salvador Dura-Bernal

11:00pm CEST

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

12:00am CEST

Advances in the PANDORA Matlab Toolbox for intracellular electrophysiology data CrowdcastCengiz Gunay

7:00pm CEST

P192: Estimating Transfer Entropy in Continuous Time For Spike Trains Slot 13David Shorten • Joseph Lizier P47: Brain Dynamics and Structure-Function Relationships via Spectral Factorization and the Transfer Function Slot 12James Henderson P98: Bayesian mechanics in the brain under the free-energy principle Slot 02Chang-Sub Kim

8:00pm CEST

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 P147: Seizure Forecasting from long-term EEG and ECG Data using Critical Slowing Principle Slot 16Wendy Xiong P187: Modulation of the hierarchical gradient of cognitive information processing dynamics during rest and task Slot 12Oliver Cliff • Joseph Lizier P27: Lessons from Artificial Neural Network for studying coding principles of Biological Neural Network Slot 11Hyojin Bae

9:00pm CEST

P117: The interplay of neural mechanisms regulates spontaneous cortical network activity: Inferring the role of key mechanisms using data-driven modeling Slot 16Jugoslava Acimovic P126: Topological Byesian Signal Processing with Application to EEG Slot 01Christopher Oballe P208: NEST 3.0, NESTML and NEST Desktop: new user experience and classroom readiness Slot 12Charl Linssen P6: Inference of functional connectivity in living neural networks Slot 09Sarah Marzen

11:00pm CEST

CNS Party Party: Whyville!jim Bower • Rebekah Evans

3:00pm CEST

K3: Information and Decision-Making CrowdcastDaniel Polani

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

P121: Avalanches and emergent activity patterns in simulated mouse primary motor cortex Slot 06Donald Doherty P137: General anesthesia reduces complexity and temporal asymmetry of the informational structures derived from neural recordings in Drosophila Slot 15Roberto Munoz

8:00pm CEST

P188: Neuro-PC: Causal Functional Connectivity for Neural Dynamics Slot 02Rahul Biswas

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

3:50pm CEST

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

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

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

W1 S11: Synergistic information in a dynamical model implemented on the human structural connectome reveals spatially distinct associations with age Crowdcast (W01)Daniele Marinazzo

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

6:30pm CEST

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