سخنرانی پرفسور علی شجاعی
لینک شرکت در سخنرانی: https://meet.iut.ac.ir/b/wyk-tey-qon-nvk
TITLE: Statistical Machine Learning for Analyzing the Brain Connectome
ABSTRACT: High-dimensional time series have become ubiquitous in many scientific fields. They are particularly instrumental in monitoring the activities of neurons and/or brain regions, and have led to valuable insight into cognitive processes and neurodegenerative diseases.
In this talk, we will discuss new methodological, computational and theoretical developments for learning networks from high-dimensional time series. Motivated by emerging calcium florescent imaging data that record neuronal activity, the talk will primarily focus on learning neuronal connectivity networks from high-dimensional spike train data. Time permitting, we will also discuss extensions to (i) deal with data from multiple experiments and (ii) inferring causal relations by accounting for unobserved variables.