語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Models of Wave Memory
~
Kashchenko, Serguey.
Models of Wave Memory
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Models of Wave Memory/ by Serguey Kashchenko.
作者:
Kashchenko, Serguey.
面頁冊數:
XXVIII, 239 p. 34 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Neural networks (Computer science) . -
電子資源:
https://doi.org/10.1007/978-3-319-19866-8
ISBN:
9783319198668
Models of Wave Memory
Kashchenko, Serguey.
Models of Wave Memory
[electronic resource] /by Serguey Kashchenko. - 1st ed. 2015. - XXVIII, 239 p. 34 illus.online resource. - Lecture Notes in Morphogenesis,2195-1934. - Lecture Notes in Morphogenesis,.
Model of single neuron -- Model of the interaction of neurons -- Model of wave propagations in the ring neural structure with chemical synapsis -- Model of self-organization of oscillations in the ring system of homogeneous neural modules -- Model of adaptation of neural ensembles -- Model of the neural system, synchronizing the wave packets -- Model of the neural system with diffusive interaction of elements -- Pseudo correlative dimension of the electroencephalogram and its volume amount of short term memory of the human -- Estimates of differences of evoked potentials.
This monograph examines in detail models of neural systems described by delay-differential equations. Each element of the medium (neuron) is an oscillator that generates, in standalone mode, short impulses also known as spikes. The book discusses models of synaptic interaction between neurons, which lead to complex oscillatory modes in the system. In addition, it presents a solution to the problem of choosing the parameters of interaction in order to obtain attractors with predetermined structure. These attractors are represented as images encoded in the form of autowaves (wave memory). The target audience primarily comprises researchers and experts in the field, but it will also be beneficial for graduate students.
ISBN: 9783319198668
Standard No.: 10.1007/978-3-319-19866-8doiSubjects--Topical Terms:
1253765
Neural networks (Computer science) .
LC Class. No.: QA76.87
Dewey Class. No.: 519
Models of Wave Memory
LDR
:02676nam a22004095i 4500
001
969888
003
DE-He213
005
20200707014837.0
007
cr nn 008mamaa
008
201211s2015 gw | s |||| 0|eng d
020
$a
9783319198668
$9
978-3-319-19866-8
024
7
$a
10.1007/978-3-319-19866-8
$2
doi
035
$a
978-3-319-19866-8
050
4
$a
QA76.87
072
7
$a
PBWH
$2
bicssc
072
7
$a
MAT003000
$2
bisacsh
072
7
$a
PBWH
$2
thema
082
0 4
$a
519
$2
23
100
1
$a
Kashchenko, Serguey.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1069819
245
1 0
$a
Models of Wave Memory
$h
[electronic resource] /
$c
by Serguey Kashchenko.
250
$a
1st ed. 2015.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
XXVIII, 239 p. 34 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Lecture Notes in Morphogenesis,
$x
2195-1934
505
0
$a
Model of single neuron -- Model of the interaction of neurons -- Model of wave propagations in the ring neural structure with chemical synapsis -- Model of self-organization of oscillations in the ring system of homogeneous neural modules -- Model of adaptation of neural ensembles -- Model of the neural system, synchronizing the wave packets -- Model of the neural system with diffusive interaction of elements -- Pseudo correlative dimension of the electroencephalogram and its volume amount of short term memory of the human -- Estimates of differences of evoked potentials.
520
$a
This monograph examines in detail models of neural systems described by delay-differential equations. Each element of the medium (neuron) is an oscillator that generates, in standalone mode, short impulses also known as spikes. The book discusses models of synaptic interaction between neurons, which lead to complex oscillatory modes in the system. In addition, it presents a solution to the problem of choosing the parameters of interaction in order to obtain attractors with predetermined structure. These attractors are represented as images encoded in the form of autowaves (wave memory). The target audience primarily comprises researchers and experts in the field, but it will also be beneficial for graduate students.
650
0
$a
Neural networks (Computer science) .
$3
1253765
650
0
$a
Neurosciences.
$3
593561
650
0
$a
Statistical physics.
$3
528048
650
0
$a
System theory.
$3
566168
650
0
$a
Computational complexity.
$3
527777
650
1 4
$a
Mathematical Models of Cognitive Processes and Neural Networks.
$3
884110
650
2 4
$a
Applications of Nonlinear Dynamics and Chaos Theory.
$3
1113607
650
2 4
$a
Complex Systems.
$3
888664
650
2 4
$a
Complexity.
$3
669595
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319198675
776
0 8
$i
Printed edition:
$z
9783319198651
776
0 8
$i
Printed edition:
$z
9783319368085
830
0
$a
Lecture Notes in Morphogenesis,
$x
2195-1934
$3
1265453
856
4 0
$u
https://doi.org/10.1007/978-3-319-19866-8
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入