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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.

Bryan Conklin

Center for Complex Systems & Brain Science, Florida Atlantic University
Ph.D. Candidate
West Palm Beach, FL

https://github.com/thor4/Monkey-Data

I am a Ph.D. candidate in Steven L Bressler's Cognitive Neurodynamics Lab. My research focuses on characterizing large scale cognitive brain networks in the monkey using time-frequency and graph theoretic analyses.

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 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 Neuromorphic VLSI realization of the Hippocampal formation Link (T4)Anu Aggarwal

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

P13: Organization of connectivity between areas in the monkey frontoparietal network Slot 19Bryan Conklin

2:00pm CEST

OCNS Members' meeting Crowdcast 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

3:30pm CEST

W3 S0: Information-Theoretic Models in Psychology and Neuroscience (Opening remarks) Crowdcast (W03)Dimitrios Pinotsis • Randy Gallistel • Earl K. Miller

4:30pm CEST

W4 S2: The Virtual Brain (TVB) and Virtual Brain Cloud Crowdcast (W04)Petra Ritter

5:45pm CEST

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

6:15pm CEST

W3 S4: Working Memory 2.0 Crowdcast (W03)Earl K. Miller

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

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

3:30pm CEST

W2 S19: Enabling real-time brain-machine interfaces via tensor-based computing Crowdcast (W02)Andrea Giovannucci

5:00pm CEST

W4 S11: ModelDB Crowdcast (W04)Ted Carnevale • Serena Thaw-Poon

6:00pm CEST

W4 S12: NeuroML and Open Source Brain Crowdcast (W04)Padraig Gleeson

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

7:30pm CEST

W06 S13: Systematic Integration of Structural and Functional Data into Multi-Scale Models of Mouse Primary Visual Cortex Crowdcast (W06)Anton Arkhipov

9:15pm CEST

W9 S8 - Strong inhibition and stable temporal dynamics in spiking networks sustain working memory Crowdcast (W09)Terrence Sejnowski