國立虎尾科技大學 |

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.
出版者:	Cham :Imprint: Springer, : 2015.,
面頁冊數:	xxviii, 239 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Complexity. -
電子資源:	http://dx.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. - Cham :Imprint: Springer,2015. - xxviii, 239 p. :ill., digital ;24 cm. - 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:

669595
Complexity.

LC Class. No.: QP363.3

Dewey Class. No.: 612.82

Models of wave memory
LDR:02271nam a2200325 a 4500 001 838592
003 DE-He213
005 20160413133407.0
006 m d
007 cr nn 008maaau
008 160616s2015 gw s 0 eng d
020 $a 9783319198668 $q (electronic bk.)
020 $a 9783319198651 $q (paper)
024 7 $a 10.1007/978-3-319-19866-8 $2 doi
035 $a 978-3-319-19866-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QP363.3
072 7 $a PBWH $2 bicssc
072 7 $a MAT003000 $2 bisacsh
082 0 4 $a 612.82 $2 23
090 $a QP363.3 $b .K19 2015
100 1 $a Kashchenko, Serguey. $3 1069819
245 1 0 $a Models of wave memory $h [electronic resource] / $c by Serguey Kashchenko.
260 $a Cham : $c 2015. $b Imprint: Springer, $b Springer International Publishing :
300 $a xxviii, 239 p. : $b ill., digital ; $c 24 cm.
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 2 4 $a Complexity. $3 669595
650 2 4 $a Complex Systems. $3 888664
650 2 4 $a Nonlinear Dynamics. $3 783150
650 2 4 $a Neurosciences. $3 593561
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 884110
650 1 4 $a Mathematics. $3 527692
650 0 $a Neuroinformatics $x Mathematical models. $3 1069820
650 0 $a Neurons $x Physiology. $3 1024647
650 0 $a Neural networks (Neurobiology) $x Mathematical models. $3 676471
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Lecture notes in morphogenesis. $3 1022877
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-19866-8
950 $a Mathematics and Statistics (Springer-11649)