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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.

Soledad Gonzalo Cogno

Kavli Institute for Systems Neuroscience and Centre for Neural Computation, NTNU
Postdoctoral fellow
Trondheim, Norway

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

10:00pm CEST

Discussion with Matt Botvinick CrowdcastMatthew Botvinick

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

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

P130: Unifying information theory and machine learning in a model of cochlear implant electrode discrimination Slot 11(Demi) Xiao Gao P192: Estimating Transfer Entropy in Continuous Time For Spike Trains Slot 13David Shorten • Joseph Lizier P224: Hopf Bifurcation in Mean Field Explains Critical Avalanches in Excitation-Inhibition Balanced Neuronal Networks: A Mechanism for Multiscale Variabilit Slot 06Changsong Zhou P95: A functional role of short-term synapses in maintenance of gustatory working memory in orbitofrontal cortex Slot 15Layla Antaket

8:00pm CEST

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 P75: The covariance perceptron: theory and application Slot 20Matthieu Gilson P86: Studying neural mechanisms in recurrent neural network trained for multitasking depending on a context signal. Slot 13Cecilia Jarne

9:00pm CEST

P134: A fluid hierarchy in multisensory integration properties of large-scale cortical networks Slot 19Jorge Mejias 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

4:20pm CEST

F4: Who can turn faster? Comparison of the head direction circuit of two species CrowdcastIoannis Pisokas

7:00pm CEST

P11: Effect of interglomerular inhibitory networks on olfactory bulb odor representations Slot 02Daniel Zavitz P133: Recurrent neural networks trained in multisensory integration tasks reveal a diversity of selectivity and structural properties Slot 07Jorge Mejias P163: Biophysics and dynamics shape the cross-correlation properties of monosynaptic connections Slot 21Horacio Rotstein P165: Using dynamical mean field theory to study synchronization in the brain. Slot 07Isabelle Harris

8:00pm CEST

P178: Neuronal resonance may not be apparent, but still present, for realistic input signals using standard impedance measurements Slot 02Rodrigo Pena P30: Biophysically Realistic Model of Mouse Olfactory Bulb Gamma Fingerprint Slot 05Justas Birgiolas, Ph.D.

10:00pm CEST

Discussion with Daniel Polani CrowdcastDaniel Polani

9:30am CEST

W2 S01: Elucidating the role of cell architecture and its remodeling in maintaining a healthy heartbeat using high-resolution 3D computational models. Crowdcast (W02)Vijay Rajagopal

3:00pm CEST

W1 S0: Methods of Information Theory in Comptuational Neuroscience - Opening Remarks Crowdcast (W01)Joseph Lizier W2 S07: Online methods for real-time analysis of calcium imaging data Crowdcast (W02)Johannes Friedrich

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

4:10pm 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

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

6:50pm CEST

W3 S5: Reconciling the Spatial and Mnemonic Views of the Hippocampus Crowdcast (W03)Elizabeth A. Buffalo

7:25pm CEST

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

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

4:30pm CEST

W9 S1 - Machine learning and mechanistic modeling for understanding brain in health and disease Crowdcast (W09)William W Lytton • Sam Neymotin