Computational Models of Large-Scale Brain Networks - Dynamics & Function
Schedule
Wednesday, April 22, 2020
13:30 UTC
Jorge Mejias
Prof
University of Amsterdam
Host: NERV
Recording
Open recording
Event Information
Recording
Available
Host
NERV
Duration
70 minutes
Abstract
Theoretical and computational models of neural systems have been traditionally focused on small neural circuits, given the lack of reliable data on large-scale brain structures. The situation has started to change in recent years, with novel recording technologies and large organized efforts to describe the brain at a larger scale. In this talk, Professor Mejias from the University of Amsterdam will review his recent work on developing anatomically constrained computational models of large-scale cortical networks of monkeys, and how this approach can help to answer important questions in large-scale neuroscience. He will focus on three main aspects: (i) the emergence of functional interactions in different frequency regimes, (ii) the role of balance for efficient large-scale communication, and (iii) new paradigms of brain function, such as working memory, in large-scale networks.
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