Presentation

Pollock
 

Modélisation, Simulation & Neurocognition (MS&N) is common to the laboratory of Computer Science, Signals and Systems in Sophia Antipolis (I3S) and to the Mathematics laboratory J.-A. Dieudonné (JAD), which belong to both Centre National de la Recherche Scientifique (CNRS) and Université Nice Sophia Antipolis (UNS). Inside I3S, MS&N belongs to Modèles Discrets pour les Systèmes Complexes (MDSC).

 
MS&N aims at both simplifying and integrating models from computer science, mathematics and biology, through in silico experiments and applications to neurocognition.
 
Research areas (possibly applied to biology and neurocognition)
  • Abstract models and formal analysis of systems: General, reactive, discrete-event

  • Probability and statistics: Dependence detection, models of interaction graphs, estimation in those models and tests on real biological data (goodness-of-fit)

  • Algebraic semantics: Category theory

  • In silico experiments: Abstract simulation and model checking

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