Mathematical and Theoretical Neuroscience : Cell, Network and Data Analysis / edited by Giovanni Naldi, Thierry Nieus.

Format:

Book

Contributor:

Naldi, Giovanni., Editor.

Nieus, Thierry., Editor.

Series:

Springer INdAM Series, 2281-518X ; 24

Language:

English

Subjects (All):

Applied mathematics.

Engineering mathematics.

Bioinformatics.

Computational biology.

Statistics.

Applications of Mathematics.

Computer Appl. in Life Sciences.

Statistics for Life Sciences, Medicine, Health Sciences.

Local Subjects:

Applications of Mathematics.

Computer Appl. in Life Sciences.

Statistics for Life Sciences, Medicine, Health Sciences.

Physical Description:

1 online resource (255 pages).

Edition:

1st ed. 2017.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2017.

Summary:

This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis in neuroscience with applications. The following subjects are considered: mathematical modelling in Neuroscience, analytical and numerical topics; statistical analysis in Neuroscience; Neural Networks; Theoretical Neuroscience. The book is addressed to researchers involved in mathematical models applied to neuroscience.

Contents:

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

13 Measures 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.

ISBN:

3-319-68297-0