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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-02132017-150605


Tipo di tesi
Tesi di laurea magistrale
Autore
GRAZIESCHI, PAOLO
URN
etd-02132017-150605
Titolo
Some stochastic particle systems models of neuronal networks
Dipartimento
MATEMATICA
Corso di studi
MATEMATICA
Relatori
relatore Prof. Romito, Marco
Parole chiave
  • neuronal networks
  • particle system
  • probability
  • stochastic analysis
Data inizio appello
10/03/2017
Consultabilità
Completa
Riassunto
Neuronal networks may be represented as stochastic particle systems. Every particle has an associated potential and the dynamics of the potential of each particle is described by some stochastic differential equations. In works by Delarue, Inglis, Rubenthaler and Tanré a complete graph has been considered as a model of the neurons of the human brain and its solution has been shown to converge to a mean-field limit stochastic differential equation. We first introduce those results, later moving to a discussion of possible alternative models which would better represent the topology of the human brain, according to empirical observations.
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