Decoding neuronal spike train signals: from point processes to age structured PDE's

Relatore:  Valentina Mazzi - University of Verona
  venerdì 16 dicembre 2016 alle ore 10.30
In the human brain there are about a hundred billion neurons that fire signals to communicate with each other. Every signal is referred to as a spike, or an action potential. Spike trains are simply combinatorial sequences of spikes and silences. They are of particular interest to neuroscientists, since they are the main component of the information processing in the brain. However, decoding spike trains is a really complex problem. The randomness of data can be modeled trough point processes, using a microscopic approach. However, it may be useful to consider a population of neurons, to include possible interactions. To do that, partial differential equations have been used to describe spikes density in the macroscopic model.The aim of the present work is to analyze and to compare the microscopic and macroscopic approaches. Moreover, in order to link point processes with partial differential equations, it was obtained a age structured partial differential equation starting from the study of the age's evolution of a single neuron.
Friday, December 16th, at 10:30 room M

Referente
Giandomenico Orlandi

Data pubblicazione
10 dicembre 2016

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