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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.

Benoit Duchet

University of Oxford
Postdoctoral researcher

My work is focused on studying the neural circuits affected by Parkinson’s disease and essential tremor through mathematical and computational methods, with the aim of improving therapeutic interventions such as deep brain stimulation.

Topics I am interested in include dynamical systems, mesoscopic models and mean field reductions, methods to fit models to data, STDP modelling, and closed-loop deep brain stimulation. Very happy to connect with other attendees.

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

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

11:00pm CEST

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

11:30pm CEST

Introduction to the Brain Dynamics Toolbox CrowdcastStewart Heitmann

1:40pm CEST

O1: Dopamine role in learning and action inference CrowdcastRafal Bogacz

2:00pm CEST

O2: Neural Manifold Models for Characterising Brain Circuit Dynamics in Neurodegenerative Disease CrowdcastSeigfred Prado

7:00pm CEST

P200: Computational modeling of the input/output mapping in the cerebellar cortex Slot 19Sungho Hong P64: Gamma oscillations organized as localized burst patterns with anomalous propagation dynamics in primate cerebral cortex Slot 18Xian Long P76: Inferring a simple mechanism for alpha-blocking by fitting a neural population model to EEG spectra Slot 08Agus Hartoyo

8:00pm CEST

P101: Representing predictability of sequence patterns in a random network with short-term plasticity Slot 03Thomas R. Knösche P147: Seizure Forecasting from long-term EEG and ECG Data using Critical Slowing Principle Slot 16Wendy Xiong P31: Exploring fast and slow neural correlates of auditory perceptual bistability with diffusion-mapped delay coordinates Slot 07Pake Melland P8: Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson's disease Slot 08Benoit Duchet

9:00pm CEST

P111: The impact of noise on the temporal patterning of neural synchronization Slot 02Leonid Rubchinsky P126: Topological Byesian Signal Processing with Application to EEG Slot 01Christopher Oballe P161: Less is more: a new computational approach for analyzing EEG for brain computer interface applications Slot 09Farhad Goodarzy

11:00pm CEST

CNS Party Party: Whyville!jim Bower • Rebekah Evans

2:00pm CEST

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

7:00pm CEST

P104: Integrated cortical, thalamic and basal ganglia model of brain function: validation against functional requirements Slot 10Sébastien Naze P110: Synchronization and resilience in the Kuramoto white matter network model with adaptive state-dependent delays Slot 18Daniel Park 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 P17: The Impacts of the Connectome on Coupled Networks of Wilson-Cowan Models with Homeostatic Plasticity Slot 20Wilten Nicola

8:00pm CEST

P129: Correlated inputs to the striatum generate beta over-synchronization in in silico cortico-basal ganglia network Slot 15Elena Manferlotti P156: Analytical solution of linearized equations of the Morris-Lecar neuron model at large constant stimulation Slot 16Tatiana Zemskova P179: Synaptic short-term plasticity and temporal filters: interplay of synaptic and postsynaptic dynamics Slot 08Yugarshi Mondal P180: Mean Field Theory Inference and Learning in Networks with Stochastic Natural Exponential Family Neurons Slot 19Ivan Davidovich P199: Stimulation-Induced Decoupling by Spike-Timing-Dependent Plasticity in Neuronal Networks with Propagation Delays Slot 18Mojtaba Madadi Asl P202: Analysis of Parkinson's Disease Tremor With t-SNE Slot 06Dmitrii Todorov P204: Stabilization of spiking neural networks using stochastic and high-frequency neurostimulation disrupts seizure-like transitions Slot 07Scott Rich P205: Development of efficient connectivity for reliable signal transmission through STDP Slot 01Hedyeh Rezaei P52: Connectivity modulation by dual-site transcranial alternating current stimulation based on spike-timing dependent plasticity Slot 10Bettina Schwab P58: Systematic testing and validation of models of hippocampal neurons against electrophysiological data Slot 13Sára Sáray P78: Phasic Response of Epileptic Models Slot 11Alberto Perez Cervera

9:00pm CEST

P107: Inferring parameters of DBS-induced short-term synaptic plasticity from in-vivo recordings of human brain Slot 16Alireza Ghadimi P91: A unified framework for the application and evaluation of different methods for neural parameter optimization Slot 10Szabolcs Kali

3:00pm CEST

W05 S03: Spatio-temporal dynamics in epilepsy: Models & Analysis Crowdcast (W05)Yujiang Wang

3:30pm CEST

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

4:00pm CEST

W2 S09: Synaptic plasticity rules with physiological calcium levels Crowdcast (W02)Johnatan Aljadeff

3:00pm CEST

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

6:15pm CEST

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

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