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Nonlinear Dynamics in Computational Neuroscience
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Nonlinear Dynamics in Computational Neuroscience/ edited by Fernando Corinto, Alessandro Torcini.
其他作者:
Corinto, Fernando.
面頁冊數:
XI, 141 p. 50 illus., 34 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-319-71048-8
ISBN:
9783319710488
Nonlinear Dynamics in Computational Neuroscience
Nonlinear Dynamics in Computational Neuroscience
[electronic resource] /edited by Fernando Corinto, Alessandro Torcini. - 1st ed. 2019. - XI, 141 p. 50 illus., 34 illus. in color.online resource. - PoliTO Springer Series,2509-6796. - PoliTO Springer Series,.
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.
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.
ISBN: 9783319710488
Standard No.: 10.1007/978-3-319-71048-8doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Nonlinear Dynamics in Computational Neuroscience
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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.
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