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Models of wave memory

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...

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Detalles Bibliográficos
Autor principal: Kashchenko, Serguey
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-19866-8
http://cds.cern.ch/record/2112857
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author Kashchenko, Serguey
author_facet Kashchenko, Serguey
author_sort Kashchenko, Serguey
collection CERN
description 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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spelling cern-21128572021-04-21T20:00:50Zdoi:10.1007/978-3-319-19866-8http://cds.cern.ch/record/2112857engKashchenko, SergueyModels of wave memoryMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:21128572015
spellingShingle Mathematical Physics and Mathematics
Kashchenko, Serguey
Models of wave memory
title Models of wave memory
title_full Models of wave memory
title_fullStr Models of wave memory
title_full_unstemmed Models of wave memory
title_short Models of wave memory
title_sort models of wave memory
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-19866-8
http://cds.cern.ch/record/2112857
work_keys_str_mv AT kashchenkoserguey modelsofwavememory