
Mathematical and Theoretical Neuroscience
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Persons
Prof. Thiery Nieus received his PhD in Applied Mathematics at the Department of Mathematics F. Enriques in Milan (Italy). His research focuses on the computations performed by neuronal networks. His work involves the analysis and modeling of multiscale data, ranging from single synapses to population recordings. In September 2016 he joined Marcello Massimini's laboratory (University of Milan, Italy), working on computational models of the thalamocortical circuit and on complexity measures of TMS/EEG data.
Content
1 Simulating cortical Local Field Potentials and Thalamus dynamic regimes with integrate-and-fire neurons.- 2 Computational modeling as a means to defining neuronal spike pattern behaviors.- 3 Chemotactic guidance of growth cones: a hybrid computational model.- 4 Mathematical Modeling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions.- 5 Bifurcation analysis of a sparse neural network with cubic topology.- 6 Simultaneous jumps in interacting particle systems: from neuronal networks to a general framework.- 7 Neural fields: Localised states with piece-wise constant interactions.- 8 Mathematical models of visual perception based on cortical architectures.- 9 Mathematical models of visual perception for the analysis of Geometrical optical illusions.- 10 Exergaming for autonomous rehabilitation.- 11 E-infrastructures for neuroscientists: the GAAIN and neuGRID examples.- 12 Nonlinear Time series Analysis.- 13Measures of spike train synchrony and Directionality.- 14 Space-by-time tensor decomposition of single-trial analysis of neural signals.- 15 Inverse Modeling for MEG/EEG data.