Computational Neuroscience

Informations

Langue d'enseignement : Anglais
Crédits ECTS: 6

Programme

  • Heures d'enseignement dispensées à l'étudiant : 54 heures
  • Temps de travail personnel : 100 heures

Objectifs et compétences

Objectifs :
The students will have :

to know : How brain function is approached with mathematical tools

to understand : brain function, from the single neuron to large scale networks

Compétences :
  • Know the basis of modern statistics and modelling applied to biology
  • Process and analyse data using appropriate tools including specialised software
  • Produce clear, detailed texts in English on a wide range of subjects and explain precisely a viewpoint on a topical issue
  • Work in a transversal, multidisciplinary way and participate in team effort in an international environment
  • Communicate effectively in English and native language on the procedures followed and the results yielded by experiments with the matching interpretation to diverse audiences using a range of media (from research papers to public communications)
  • Know the basic principles of ICT and standard office software

  • Master the foundations of modern Neurosciences
  • Have in-depth knowledge of at least one specialized Neurosciences field
  • Formulate appropriate questions and propose effective investigations to complex Neurosciences issues: 5.1. Identify and critically asses theoretical and practical approaches to develop appropriate strategies of investigation 5.2 Critically review specialized bibliography 5.3 Monitor and evaluate results
  • Have a general, precise and critical overview of the fields of Neurosciences, in all their aspects, from normal functioning to brain diseases and in adjacent fields (Physiology, Biology, Experimental Psychology, Cognitive Science) 2.1 Functional neuroanatomy 2.2 Neurodevelopment 2.3 Molecular and cellular Neurobiology 2.4 Neurogenetics and neurogenomics 2.5 Neurophysiology and cell imaging 2.6 Neuropharmacology 2.7 System neurosciences 2.8 Behavioural & cognitive neurosciences 2.9 Neuroendocrinology and neuro-immunology 2.10 Computational and theoretical neurosciences

Organisation pédagogique

le mode de fonctionnement de l'UE est présenté au début des enseignements

Contrôle des connaissances

En cours de finalisation

Lectures recommandées

l'ensemble des références bibliographiques est communiqué au début des enseignements

Responsable de l'unité d'enseignement

- Non défini -

Enseignants

la composition de l'ensemble de l'équipe pédagogique est communiquée au début des enseignements