"Functional connectivity rules within neural networks" Thomas Bessaïh & Régis Lambert (Video)

The perception of the outside world implies the establishment of a spatial representation of our environment information and to follow its evolution over time. These are divided into columns in which the neurons are activated by stimuli located in the same portions of space. The stimuli of neuronal representation of temporal variation  is still largely unknown. It is clear that this representation results from a modification of the activity patterns of multiple neural networks. However the diversity of information integration processes operated within these networks as well as the nature of the interactions between the different networks involved remains to be explored. As part of this course, we will focus on functional connectivity rules within cortical networks as well as emerging population coding. We will develop more particularly the methodological aspects and will present recent results that we obtained by applying a model based on the Hawkes processes to the study of the neuronal connectivity within the rodent somatosensory cortex.

Video 1   Video 2