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Brain Networks in Learning

Project description

Study reveals how brain neural networks affect learning

The primary visual cortex of the mouse is an ideal model for studying the ability of neural networks to undergo structural changes during learning owed to the well-described functional properties of its neurons, the existence of a robust learning paradigm and the feasibility of recording large neuron populations. The EU-funded BNL project aims to identify functional groups of cortical neurons and observe the topological restructuring of the network they form. Researchers will use Bayesian multilevel models that respect the multidimensional structure of the data. The research is expected to reveal major structural changes of functional cortical sub-networks upon learning.

Objective

The primary visual cortex of the mouse is an ideal model system in which we can study network restructuring during
learning, due to the well-described functional properties of its neurons, the existence of a robust learning paradigm, and the feasibility of recording large populations of neurons. Here we aim to identify functional groups
of cortical neurons based on the robust estimation of their correlations and observe the topological re-structuring of
the network they form. We will build comprehensive Bayesian multi-level models that respect the multidimensional
structure of the data for estimation and interpretation of our results. We hypothesize that we will observe major re-
structuring of functional cortical sub-networks upon learning.

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Keywords

Programme(s)

Topic(s)

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

(opens in new window) H2020-MSCA-IF-2019

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Coordinator

IDRYMA TECHNOLOGIAS KAI EREVNAS
Net EU contribution
€ 165 085,44
Address
N PLASTIRA STR 100
700 13 IRAKLEIO
Greece
Region
Νησιά Αιγαίου Κρήτη Ηράκλειο
Activity type
Research Organisations
Links
Total cost
€ 165 085,44