Data Science for Large-Scale Imaging of Neuronal Activity

Suzhou, China 

August 9 - August 19, 2024

Application Deadline: June 8, 2024



Organized by:

Hadas Benisty, Technion - Israel Institute of Technology

Mark Reimers, Michigan State University

Jennifer SunUniversity College London

Pengcheng ZhouShenzhen Institute of Advanced Technology, CAS


Course Description:

This course will introduce students to the statistical and computational techniques needed for processing and analyzing the population recording data now being generated with high-throughput calcium imaging techniques in behaving experimental animals. These state-of-the-art technologies include in vivo two-photon, mini-scope, wide field, and lightsheet imaging. The course will first address advantage and specific pre-processing issues related to each imaging techniques, and then discuss the analytical methods for population activity, especially multivariate methods for finding low-dimensional representations that correlates with animal behavior or experimental stimulus. We will also discuss several emerging topics in neural population analysis, such as network analysis and inter regional communication.




2024 Faculty roster:

Mikio Aoi, University of California San Diego

Hadas Benisty, Technion - Israel Institute of Technology

Kenneth HarrisUniversity College London

Yu Mu, Institute of Neuroscience, CAS

Mark Reimers, Michigan State University

Jennifer Sun, University College London

Jiamin Wu, Tsinghua University

Quan Wen, University of Science and Technology of China

Christopher Xu, Cornell University

Pengcheng Zhou, Shenzhen Institute of Advanced Technologies, CAS


And more...


2024 PRICING (INCLUDING TUITION, BOARD AND LODGING): 950 USD


No payment is due until the selection decisions are made, but any applicant requiring financial support (i.e. stipends) should make that request in written form during the online application. The admissions process is need-blind, your financial situation will not be considered before admission decisions are made.