大葉大學圖書館 |

Models of wave memory[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	612.82
書名/作者:	Models of wave memory/ by Serguey Kashchenko.
作者:	Kashchenko, Serguey.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xxviii, 239 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Neural networks (Neurobiology) - Mathematical models.
標題:	Neurons - Physiology.
標題:	Neuroinformatics - Mathematical models.
標題:	Mathematics.
標題:	Mathematical Models of Cognitive Processes and Neural Networks.
標題:	Neurosciences.
標題:	Nonlinear Dynamics.
標題:	Complex Systems.
標題:	Complexity.
ISBN:	9783319198668
ISBN:	9783319198651
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-19866-8

Models of wave memory[electronic resource] /
Kashchenko, Serguey.

Models of wave memory[electronic resource] /by Serguey Kashchenko. - Cham :Springer International Publishing :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:

635635
Neural networks (Neurobiology)
--Mathematical models.

LC Class. No.: QP363.3

Dewey Class. No.: 612.82

Models of wave memory[electronic resource] /
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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.
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