Nonlinear 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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Έκδοση: | 1st ed. 2019. |
| Σειρά: | PoliTO Springer Series,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Next generation neural mass models
- Unraveling brain modularity through its slow oscillations
- Characterization of Neural Signals in Preclinical Studies of Neural Plasticity using Nonlinear Time Series Analysis
- Functional Cliques in Developmentally Correlated Neural Networks
- Chimera states in pulse coupled neural networks: the influence of dilution and noise
- Nanotechnologies for Neurosciences
- Memristor and Memristor Circuit Modelling based on Methods of Nonlinear System Theory
- A memristor-based cell for complexity.
