Screen LibraryNonlinear dynamics in computational neuroscience /
This book provides an essential overview of computational neuroscience. It addresses a broad range of aspects, from physiology to nonlinear dynamical approaches to understanding neural computation, and from the simulation of brain circuits to the development of engineering devices and platforms for...
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| Group Author: | ; |
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| Published: |
Springer,
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| Publisher Address: | Cham : |
| Publication Dates: | [2019] |
| Literature type: | Book |
| Language: | English |
| Series: |
PoliTO Springer series,
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| Subjects: | |
| Summary: |
This book provides an essential overview of computational neuroscience. It addresses a broad range of aspects, from physiology to nonlinear dynamical approaches to understanding neural computation, and from the simulation of brain circuits to the development of engineering devices and platforms for neuromorphic computation. Written by leading experts in such diverse fields as neuroscience, physics, psychology, neural engineering, cognitive science and applied mathematics, the book reflects the remarkable advances that have been made in the field of computational neuroscience, an emerging discipline devoted to the study of brain functions in terms of the information-processing properties of the structures forming the nervous system. The contents build on the workshop "Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT," which was held in Torino, Italy in September 2015. |
| Carrier Form: | xi, 141 pages : illustrations (chiefly color) ; 25 cm. |
| Bibliography: | Includes bibliographical references. |
| ISBN: |
9783319710471 3319710478 |
| Index Number: | QP357 |
| CLC: | TP183 |
| Call Number: | TP183/N813-1 |
| Contents: |
2 The Effect of Dipeptides in Neurodegenerative Diseases2.1 Amyloid Proteins and Alzheimers Disease; 2.2 Carnosine and β-Amyloid Peptide: Interaction Dynamics; 3 Micro- and Nano-architectural Constructs for Application in Neural Regeneration; 3.1 Hydrogel Patterning on Flexible Scaffolds; 3.2 Stimuli-Responsive Carriers Decorated 3D Scaffolds; 3.3 Drug and Cell Delivery Vehicles; 4 Novel Soft Materials for Neural Interface; 4.1 Stretchable Electronics; 4.2 Soft Multi-analyte Sensing Platform; 5 Discussion; References. 4 Discussion and ConclusionReferences; Functional Cliques in Developmentally Correlated Neural Networks; 1 Introduction; 2 Model and Methods; 2.1 Correlations; 2.2 Functional Connectivity; 3 Results; 3.1 Single Neuron Stimulation and Deletion Experiments; 3.2 The Clique of Functional Hubs; 4 Discussion; References; Chimera States in Pulse Coupled Neural Networks: The Influence of Dilution and Noise; 1 Introduction; 2 The Model; 3 Fully Coupled Network: Phase Diagram; 4 Diluted Networks; 5 Noisy Dynamics; 6 Discussion; References; Nanotechnologies for Neurosciences; 1 Introduction. Memristor and Memristor Circuit Modelling Based on Methods of Nonlinear System Theory1 Introduction; 2 One-Memristor Circuits; 2.1 Memristor Model; 2.2 Application of the Theory to One-Memristor Circuits; 2.3 Circuit Dynamic Equations; 2.4 Analytical Derivation of Volterra Kernels; 2.5 Response to a Sine-Wave Input; 2.6 Theory Validation; 3 Extension to Two-Memristor Circuits; 3.1 Memristor Model; 3.2 Application of the Theory to Two-Memristor Circuits; 3.3 Circuit Dynamic Equations; 3.4 Analytical Derivation of Volterra Kernels; 3.5 Response to a Sine-Wave Input; 3.6 Theory Validation. |