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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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Lenguaje: | eng |
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Springer
2015
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-19866-8 http://cds.cern.ch/record/2112857 |
_version_ | 1780948968784527360 |
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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. |
id | cern-2112857 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
publisher | Springer |
record_format | invenio |
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 |