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Mathematical and Theoretical Neuroscience

Overview of attention for book
Mathematical and Theoretical Neuroscience
Springer, Cham

Table of Contents

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    Book Overview
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    Chapter 1 From Single Neuron Activity to Network Information Processing: Simulating Cortical Local Field Potentials and Thalamus Dynamic Regimes with Integrate-and-Fire Neurons
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    Chapter 2 Computational Modeling as a Means to Defining Neuronal Spike Pattern Behaviors
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    Chapter 3 Chemotactic Guidance of Growth Cones: A Hybrid Computational Model
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    Chapter 4 Mathematical Modelling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions
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    Chapter 5 Bifurcation Analysis of a Sparse Neural Network with Cubic Topology
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    Chapter 6 Simultaneous Jumps in Interacting Particle Systems: From Neuronal Networks to a General Framework
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    Chapter 7 Neural Fields: Localised States with Piece-Wise Constant Interactions
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    Chapter 8 Mathematical Models of Visual Perception Based on Cortical Architectures
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    Chapter 9 Mathematical Models of Visual Perception for the Analysis of Geometrical Optical Illusions
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    Chapter 10 Exergaming for Autonomous Rehabilitation
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    Chapter 11 E-Infrastructures for Neuroscientists: The GAAIN and neuGRID Examples
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    Chapter 12 Theory and Application of Nonlinear Time Series Analysis
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    Chapter 13 Measures of Spike Train Synchrony and Directionality
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    Chapter 14 Space-by-Time Tensor Decomposition for Single-Trial Analysis of Neural Signals
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    Chapter 15 Inverse Modeling for MEG/EEG Data
Attention for Chapter 4: Mathematical Modelling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions
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Chapter title
Mathematical Modelling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions
Chapter number 4
Book title
Mathematical and Theoretical Neuroscience
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-68297-6_4
Book ISBNs
978-3-31-968296-9, 978-3-31-968297-6
Authors

Shyam Diwakar, Chaitanya Nutakki, Sandeep Bodda, Arathi Rajendran, Asha Vijayan, Bipin Nair

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 25%
Unspecified 1 13%
Lecturer 1 13%
Student > Master 1 13%
Student > Bachelor 1 13%
Other 2 25%
Readers by discipline Count As %
Neuroscience 2 25%
Unspecified 1 13%
Mathematics 1 13%
Immunology and Microbiology 1 13%
Agricultural and Biological Sciences 1 13%
Other 2 25%

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