Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Nonlinear dynamics in computational ...
~
Corinto, Fernando.
Nonlinear dynamics in computational neuroscience
Record Type:
Electronic resources : Monograph/item
Title/Author:
Nonlinear dynamics in computational neuroscienceedited by Fernando Corinto, Alessandro Torcini.
other author:
Corinto, Fernando.
Published:
Cham :Springer International Publishing :2019.
Description:
xi, 141 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Computational neuroscience.
Online resource:
http://dx.doi.org/10.1007/978-3-319-71048-8
ISBN:
9783319710488$q(electronic bk.)
Nonlinear dynamics in computational neuroscience
Nonlinear dynamics in computational neuroscience
[electronic resource] /edited by Fernando Corinto, Alessandro Torcini. - Cham :Springer International Publishing :2019. - xi, 141 p. :ill., digital ;24 cm. - PoliTO Springer series,2509-6796. - PoliTO Springer series..
Introduction -- Next generation neural mass models -- Unraveling brain modularity through its slow oscillations -- Characterization of Neural Signals in Preclinical Studies of Neural Plasticity using Nonlinear Time Series Analysis -- Functional Cliques in Developmentally Correlated Neural Networks -- Chimera states in pulse coupled neural networks: the influence of dilution and noise -- Nanotechnologies for Neurosciences -- Memristor and Memristor Circuit Modelling based on Methods of Nonlinear System Theory -- A memristor-based cell for complexity.
This book provides an essential overview of computational neuroscience. It addresses a broad range of aspects, from physiology to nonlinear dynamical approaches to understanding neural computation, and from the simulation of brain circuits to the development of engineering devices and platforms for neuromorphic computation. Written by leading experts in such diverse fields as neuroscience, physics, psychology, neural engineering, cognitive science and applied mathematics, the book reflects the remarkable advances that have been made in the field of computational neuroscience, an emerging discipline devoted to the study of brain functions in terms of the information-processing properties of the structures forming the nervous system. The contents build on the workshop "Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT," which was held in Torino, Italy in September 2015.
ISBN: 9783319710488$q(electronic bk.)
Standard No.: 10.1007/978-3-319-71048-8doiSubjects--Topical Terms:
190429
Computational neuroscience.
LC Class. No.: QP357.5 / .N665 2019
Dewey Class. No.: 612.8
Nonlinear dynamics in computational neuroscience
LDR
:02471nmm a2200325 a 4500
001
550334
003
DE-He213
005
20180619141630.0
006
m d
007
cr nn 008maaau
008
191004s2019 gw s 0 eng d
020
$a
9783319710488$q(electronic bk.)
020
$a
9783319710471$q(paper)
024
7
$a
10.1007/978-3-319-71048-8
$2
doi
035
$a
978-3-319-71048-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QP357.5
$b
.N665 2019
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
612.8
$2
23
090
$a
QP357.5
$b
.N813 2019
245
0 0
$a
Nonlinear dynamics in computational neuroscience
$h
[electronic resource] /
$c
edited by Fernando Corinto, Alessandro Torcini.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
xi, 141 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
PoliTO Springer series,
$x
2509-6796
505
0
$a
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.
520
$a
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.
650
0
$a
Computational neuroscience.
$3
190429
650
0
$a
Nonlinear theories.
$3
182014
650
1 4
$a
Engineering.
$3
210888
650
2 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Mathematical Models of Cognitive Processes and Neural Networks.
$3
567118
650
2 4
$a
Neurosciences.
$3
211508
650
2 4
$a
Applications of Nonlinear Dynamics and Chaos Theory.
$3
760027
700
1
$a
Corinto, Fernando.
$3
830126
700
1
$a
Torcini, Alessandro.
$3
830127
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
PoliTO Springer series.
$3
764497
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-71048-8
950
$a
Engineering (Springer-11647)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000164402
電子館藏
1圖書
電子書
EB QP357.5 N813 2019 2019
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-3-319-71048-8
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login