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.