Intégrative physiology et Computational Neuroscience

Informations

Langue d'enseignement : Anglais
Crédits ECTS: 9

Programme

  • Heures d'enseignement dispensées à l'étudiant : 80 heures
  • Temps de travail personnel : 160 heures

Objectifs et compétences

Objectifs :
The module is made of two distinct elements "integrative physiology" and "Computationl Nuroscience" accounting for 6 and 3 ECTS, respectively.

The Integrative Physiology part will be exemplified with the study of biological rhythms. Daily rhythms in endocrine, physiological and behavioural processes are a fundamental feature of all living organisms reflecting the necessity for these biological functions to occur at a given time of the day. Animals also anticipate upcoming seasonal changes in their environment, in particular to synchronise the production of offspring with resource availability. The aim of this course is to present the molecular, nervous and neuroendocrine mechanisms of daily and seasonal rhythms mainly in mammals, including human.

Regarding the Computational Neuroscience part, 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
  • Use proficiently basic ICT and standard office software resources

  • 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

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Contrôle des connaissances

Contrôle continu sur les activités de plate-forme pour chacune des parties "Integrative Physiology" et "Computational Neuroscience"

Examen terminal portant sur chacune des parties "Integrative Physiology" et "Computational Neuroscience"

Lectures recommandées

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Responsable de l'unité d'enseignement

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Enseignants

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