phelixh / sjtu-11th-cns-winter-school

Tutorial repo for 11th computational neuroscience winter school @LCNS-SJTU.

The 11th Computational Neuroscience Winter School

Jan. 17-23, 2022

Organized by Lab of computational neuroscience, Shanghai Jiao Tong University

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Introduction

This online winter course provides 9 lectures in one week to introduce the field of computational neuroscience. Studies of brain functions have focused on the information processing properties of individual neurons, neural circuits and network systems. Computational neuroscience seeks to study these functions as revealed by neurophysiological experiments through computational means, and, as such, is highly interdisciplinary. Our winter school brings together experimentalists, modelers, and theoreticians to illustrate the diverse approaches and disciplines that make up computational neuroscience.

The winter school is sponsored by the Chinese Neuroscience Society (Committee on Computational Neuroscience and Neural Engineering)，CSIAM Mathematical Life Sciences, the SJTU Institute of Natural Sciences, Ministry of Education-Key Lab in Scientific and Engineering Computing and the SJTU Zhiyuan College.

Schedule

Date	Jan 17	Jan 18	Jan 19	Jan 20	Jan 21	Jan 22
Morning (9:00-11:00)	Si Wu		Carsen Stringer	Chengcheng Huang	Xiao-Jing Wang	Guoqiang Bi
Language	Chinese		English	Chinese	English	Chinese
Afternoon (14:00-16:00)		Chengyu Li	Tutorial 1: Dimension Reduction	David Hansel (15:00-17:00)	Tutorial 2: Neuronal Dynamics
Language		Chinese	Chinese	English	Chinese
Evening (20:00-22:00)		Jianfeng Feng	Julijana Gjorgjieva
Language		Chinese	English

Tutorial Schedule

Topics	Date	Time
Tutorial 1: Dimension Reduction	Jan. 19, 2021	14:00-16:00
Tutorial 2: Neuronal Dynamics	Jan. 21, 2021	14:00-16:00

Venue

Online——VooV

Detailed Information

Link

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Programs

Continuous attractor neural networks

by Si Wu, Peking University

Synaptic plasticity and function in developing neural circuits

by Julijana Gjorgjieva, Max Planck Institute for Brain Research

Dynamic neural mechanism underlying working memory

by Chengyu Li, Institute of Neuroscience, Chinese Academy of Sciences

Brain-inspired AI

by Jianfeng Feng, Fudan Unviersity

TBA

by Carsen Stringer, HHMI Janelia Research Campus

Tutorial 1: Dimension Reduction

by Kai Chen, Shanghai Jiao Tong University

Neural variability in circuit models of cortex

by Chengcheng Huang,niversity of Pittsburgh

Theory of features selectivity in rodent primary visual cortex

by David Hansel, Centre national de la recherche scientifique(CNRS)

Distributed dynamics and cognition in large-scale brain circuits

by Xiao-Jing Wang, New York University

Tutorial 2: Neuronal Dynamics

by Ziling Wang, Shanghai Jiao Tong University

The multi-scale complexity of the nervous system – from synaptic molecules to brain-wide circuits

by Guoqiang Bi, University of Science and Technology of China

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Poster