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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.

Mikko Lehtimäki

Faculty of Medicine and Health Technology, Tampere University
Doctoral student
Finland

https://github.com/Mikkolehtimaki

3:00pm CEST

K1: Deep reinforcement learning and its neuroscientific implications CrowdcastMatthew Botvinick

7:00pm CEST

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

10:00pm CEST

Discussion with Matt Botvinick CrowdcastMatthew Botvinick

11:30pm CEST

Introduction to the Brain Dynamics Toolbox CrowdcastStewart Heitmann

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

5:40pm 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

P212: Neuron conduction delay plasticity for unsupervised learning Slot 12Joshua T Arnold 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 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

8:00pm CEST

P142: Using reinforcement learning to train biophysically detailed models of visual-motor cortex to play Atari games Slot 19Haroon Anwar P190: Neural Field Theory: Modelling development of topography via activity based mechanisms. Slot 18Nicholas Gale P27: Lessons from Artificial Neural Network for studying coding principles of Biological Neural Network Slot 11Hyojin Bae

9:00pm CEST

P162: Approximative models for enabling multi-scale simulations Slot 14Mikko Lehtimäki

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

1:40pm CEST

O8: Finite element simulation of ionic electrodiffusion in cellular geometries CrowdcastAda Johanne Ellingsrud

2:00pm CEST

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

2:20pm CEST

O10: Neural flows: estimation of wave velocities and identification of singularities in 3D+t brain data CrowdcastPaula Sanz-Leon

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

5:40pm CEST

O12: A Spatial Developmental Generative Model of Human Brain Structural Connectivity CrowdcastStuart Oldham

6:00pm CEST

O13: Cortical integration and segregation explained by harmonic modes of functional connectivity CrowdcastKatharina Glomb

7:00pm CEST

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 P165: Using dynamical mean field theory to study synchronization in the brain. Slot 07Isabelle Harris P211: Neural Networks Architectures That Detect Visual Motion like Biological Brains Slot 05Hamish Pratt P214: Bayesian Model for Multisensory Integration and Segregation Slot 11Ma Xiangyu P26: Learning recurrent dynamic patterns in spiking neural networks Slot 19Christopher Kim P71: Local homeostatic regulation of the spectral radius of echo-state networks Slot 17Fabian Schubert

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 P24: A bump-attractor spiking neural network for motor adaptation and washout based on Norepinephrine release in primary motor cortex Slot 09Mariia Popova P72: Comparison of surrogate techniques for evaluation of spatio-temporal patterns in massively parallel spike trains Slot 13Alessandra Stella

9:00pm CEST

P105: Generating Executable Mushroom Body and Lateral Horn Circuits from the Hemibrain Dataset with FlyBrainLab Slot 10Yiyin Zhou P124: Morphologically-detailed reconstruction of cerebellar glial cells Slot 11Laura Keto P3: Using Higher-Order Networks to Analyze Non-Linear Dynamics in Neural Network Models Slot 14Xerxes Arsiwalla

7:00am CEST

K4: Computational models of neural development CrowdcastGeoffrey J. Goodhill

10:30am CEST

W2 S03: Spatiotemporal properties of Ca2+ activity in single astrocytes and astrocytic networks Crowdcast (W02)Alexey Semyanov

11:00am CEST

W2 S04: Patterns of astrocytic Ca2+ activity: from imaging to modeling and back. Crowdcast (W02)Alexey Brazhe

12:00pm CEST

W2 S05: Exploring the origin of spatiotemporal patterns of glial calcium by a compartmental model of astrocytic physiology Crowdcast (W02)Maurizio De Pitta

2:00pm CEST

OCNS Members' meeting Crowdcast

3:00pm CEST

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

4:45pm CEST

W3 S3: Neural Circuits Underlying Bayesian Inference in Time Perception Crowdcast (W03)Devika Narain

5:00pm CEST

W1 S3: Using lossy representations to find the neural code? Crowdcast (W01)Sarah Marzen

6:15pm CEST

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

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

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

7:45pm CEST

W06 S6: Is cortex a hierarchically organized set of canonical local circuits? Crowdcast (W06)Stefan Mihalas

8:15pm CEST

W06 S7: Deep brain discovery: Learning how to interpret variability in neural structure Crowdcast (W06)Eva Dyer

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

10:00am CEST

W2 S11: Modeling calcium signaling in live animals Crowdcast (W02)James Sneyd

10:30am CEST

W2 S12: Calcium signalling in cellular space Crowdcast (W02)Shawn Means

12:30pm CEST

W2 S15: Modelling concepts for IP3-induced Ca2+ signaling Crowdcast (W02)Martin Falcke

3:00pm CEST

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

3:30pm CEST

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

3:35pm CEST

W3 S8: The Magic of Neocortex: Pyramidal Cells that are Context-Sensitive Two-Point Processors as Seen by Three-Way Mutual Information Decomposition Crowdcast (W03)Bill Phillips

4:45pm CEST

W9 S2 - Using reinforcement learning to train biophysically detailed models of visual-motor cortex to play Atari games Crowdcast (W09)Haroon Anwar • Sam Neymotin

6:50pm CEST

W3 S12: Probability Distortion Maximizes Mutual Information Crowdcast (W03)Laurence T. Maloney

8:00pm CEST

W4 S15: FlyBrainLab: Accelerating the Discovery of the Functional Logic of the Fruit Fly Brain in the Connectomic/Synaptomic Era Crowdcast (W04)Aurel A. Lazar

8:45pm CEST

W9 S7 - From models of neural circuits to deep learning: A multi-scale approach to understanding the function of the visual tilt illusion Crowdcast (W09)Thomas Serre

9:45pm CEST

W9 S9 - Toward multi-scale brain data assimilation Crowdcast (W09)Kenji Doya • Carlos Gutierrez • Ken Nakae • Hiromichi Tsukada

5:00pm CEST

W06 S16: From hypothesis to data: Open two-photon brain observatories in system neuroscience Crowdcast (W06)Jerome Lecoq

7:00pm CEST

W06 S19:Explorations of self-supervised learning in the neocortex using open data Crowdcast (W06)Blake Richards