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  • Unité d'enseignement : Physiology of neural network
Nombre de crédits de l'UE : 6
Code APOGEE : BIO1390M
    Responsabilité de l'UE :
AMAT CORINE
 corine.amatuniv-lyon1.fr
04.72.91.34.07
BOULINGUEZ PHILIPPE
 philippe.boulinguezuniv-lyon1.fr
04.37.91.12.22
    Type d'enseignement
Nb heures *
Cours Magistraux (CM)
37.5 h
Travaux Dirigés (TD)
19.5 h

* Ces horaires sont donnés à titre indicatif.

    Pré-requis :

-        Knowledge of the anatomo-functional organization of the nervous system at the molecular and cellular levels

-        Knowledge intracellular communication, electric signal genesis, synaptic communication, brain plasticity…

-        Knowledge of the experimental tools enabling to study the neuronal morphology and activity as single neuronal unit and neuronal networks

    Compétences attestées (transversales, spécifiques) :

Transversales

-        Know how to search bibliographic databases, identify pertinent publications related to a topic and synthetize information (written and oral synthesis)

 

Specifiques

-        Know how to combine and integrate different levels of analysis to identify and characterize the neural bases of a behavior in both physiological and pathological contexts.

-        Know how to critically analyze experimental results originating from these different levels of analysis

-        Know how to use classical and the most recent neurophysiology tools to investigate the cellular mechanisms underlying neuronal activity, synaptic communication and plasticity, in different animal models: know their respective advantages and limits.

-        Being able to describe and critically analyze mechanisms responsible for inter-regional communication, building of neuronal assemblies and brain plasticity.

    Programme de l'UE / Thématiques abordées :

The aim of the unit is to provide an in-depth description of the mechanisms underlying the functioning of neural networks, specifically in relation to perception and cognitive functions. This entails examining cellular mechanisms at the level of the neuron/synapse, as well as macroscopic processes governing inter-regional communication at the whole brain level. Topics will notably include structural and functional connectivity, information coding, oscillatory dynamics, integration of information, neural assemblies, brain plasticity.  Examples from a broad range of functions (learning, sleep, olfaction, action control, executive functions) will serve to illustrate the main methods (electrophysiology, neuroimaging, cognitive sciences, neuropsychology…) for studying the physiology of neural networks in the human and non human brains and their complementarity. In group works, analysis of scientific articles will allow students to present a review on a topic related to neural networks.

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