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03099nam a22005415i 4500 |
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978-3-319-19866-8 |
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DE-He213 |
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20151204144326.0 |
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cr nn 008mamaa |
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151006s2015 gw | s |||| 0|eng d |
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|a 9783319198668
|9 978-3-319-19866-8
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|a 10.1007/978-3-319-19866-8
|2 doi
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|d GrThAP
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|a QA76.87
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|a PBWH
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|a MAT003000
|2 bisacsh
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|a 519
|2 23
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|a Kashchenko, Serguey.
|e author.
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|a Models of Wave Memory
|h [electronic resource] /
|c by Serguey Kashchenko.
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|a 1st ed. 2015.
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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| 300 |
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|a XXVIII, 239 p. 34 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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| 490 |
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|a Lecture Notes in Morphogenesis,
|x 2195-1934
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|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.
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|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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|a Mathematics.
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| 650 |
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|a Neurosciences.
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| 650 |
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|a System theory.
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| 650 |
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|a Neural networks (Computer science).
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| 650 |
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|a Statistical physics.
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| 650 |
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|a Complexity, Computational.
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| 650 |
1 |
4 |
|a Mathematics.
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| 650 |
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|a Mathematical Models of Cognitive Processes and Neural Networks.
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| 650 |
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4 |
|a Neurosciences.
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| 650 |
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|a Nonlinear Dynamics.
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| 650 |
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|a Complex Systems.
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| 650 |
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|a Complexity.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783319198651
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| 830 |
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|a Lecture Notes in Morphogenesis,
|x 2195-1934
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-19866-8
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SMA
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| 950 |
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|a Mathematics and Statistics (Springer-11649)
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