Naldi G., Nieus T. (Eds.) Mathematical and Theoretical Neuroscience: Cell, Network and Data Analysis

Springer International Publishing AG, 2017. — 255 p. — (Springer INdAM Series 24). — ISBN: 3319682962.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.From Single Neuron Activity to Network Information Processing: Simulating Cortical Local Field Potentials and Thalamus Dynamic Regimes with Integrate-and-Fire Neurons
Computational Modeling as a Means to Defining Neuronal Spike Pattern Behaviors
Chemotactic Guidance of Growth Cones: A Hybrid Computational Model
Mathematical Modelling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions
Bifurcation Analysis of a Sparse Neural Network with Cubic Topology
Simultaneous Jumps in Interacting Particle Systems: From Neuronal Networks to a General Framework
Neural Fields: Localised States with Piece-Wise Constant Interactions
Mathematical Models of Visual Perception Based on Cortical Architectures
Mathematical Models of Visual Perception for the Analysis of Geometrical Optical Illusions
Exergaming for Autonomous Rehabilitation
E-Infrastructures for Neuroscientists: The GAAIN and neuGRID Examples
Theory and Application of Nonlinear Time Series Analysis
Measures of Spike Train Synchrony and Directionality
Space-by-Time Tensor Decomposition for Single-Trial Analysis of Neural Signals
Inverse Modeling for MEG/EEG Data