Some Problems of Information Neurodynamics
Abstract The goal of neural science is to understand the brain, how we perceive, move, think, and remember. All of these things are dynamical processes which are taking place in a complex, non-stationary and noisy environment. This means that these dynamical processes at all levels from small neural...
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Gespeichert in:
| Autor*in: |
Rabinovich, M. I. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2001 |
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| Schlagwörter: |
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| Anmerkung: |
© Plenum Publishing Corporation 2001 |
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| Übergeordnetes Werk: |
Enthalten in: Radiophysics and quantum electronics - Kluwer Academic Publishers-Plenum Publishers, 1969, 44(2001), 5-6 vom: Mai, Seite 403-427 |
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| Übergeordnetes Werk: |
volume:44 ; year:2001 ; number:5-6 ; month:05 ; pages:403-427 |
| Links: |
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| DOI / URN: |
10.1023/A:1017997113898 |
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OLC2063575371 |
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10.1023/A:1017997113898 doi (DE-627)OLC2063575371 (DE-He213)A:1017997113898-p DE-627 ger DE-627 rakwb eng 530 620 VZ Rabinovich, M. I. verfasserin aut Some Problems of Information Neurodynamics 2001 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Plenum Publishing Corporation 2001 Abstract The goal of neural science is to understand the brain, how we perceive, move, think, and remember. All of these things are dynamical processes which are taking place in a complex, non-stationary and noisy environment. This means that these dynamical processes at all levels from small neural networks to behavior should be stable against perturbations but flexible and adaptive. The goal of neurodynamics is to formulate the main dynamical principles which can be a basis of such behavior and to predict the possible activities of neurons and neural ensembles using the tools of nonlinear dynamics. In this paper we discuss our last results related to the mostly challenging part of neurodynamics: information processing by dynamical neural ensembles. Neural Network Information Processing Nonlinear Dynamic Dynamical Process Noisy Environment Pinto, R. D. aut Huerta, R. aut Enthalten in Radiophysics and quantum electronics Kluwer Academic Publishers-Plenum Publishers, 1969 44(2001), 5-6 vom: Mai, Seite 403-427 (DE-627)130499560 (DE-600)760167-0 (DE-576)016080793 0033-8443 nnns volume:44 year:2001 number:5-6 month:05 pages:403-427 https://doi.org/10.1023/A:1017997113898 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OPC-AST GBV_ILN_70 AR 44 2001 5-6 05 403-427 |
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10.1023/A:1017997113898 doi (DE-627)OLC2063575371 (DE-He213)A:1017997113898-p DE-627 ger DE-627 rakwb eng 530 620 VZ Rabinovich, M. I. verfasserin aut Some Problems of Information Neurodynamics 2001 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Plenum Publishing Corporation 2001 Abstract The goal of neural science is to understand the brain, how we perceive, move, think, and remember. All of these things are dynamical processes which are taking place in a complex, non-stationary and noisy environment. This means that these dynamical processes at all levels from small neural networks to behavior should be stable against perturbations but flexible and adaptive. The goal of neurodynamics is to formulate the main dynamical principles which can be a basis of such behavior and to predict the possible activities of neurons and neural ensembles using the tools of nonlinear dynamics. In this paper we discuss our last results related to the mostly challenging part of neurodynamics: information processing by dynamical neural ensembles. Neural Network Information Processing Nonlinear Dynamic Dynamical Process Noisy Environment Pinto, R. D. aut Huerta, R. aut Enthalten in Radiophysics and quantum electronics Kluwer Academic Publishers-Plenum Publishers, 1969 44(2001), 5-6 vom: Mai, Seite 403-427 (DE-627)130499560 (DE-600)760167-0 (DE-576)016080793 0033-8443 nnns volume:44 year:2001 number:5-6 month:05 pages:403-427 https://doi.org/10.1023/A:1017997113898 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OPC-AST GBV_ILN_70 AR 44 2001 5-6 05 403-427 |
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Abstract The goal of neural science is to understand the brain, how we perceive, move, think, and remember. All of these things are dynamical processes which are taking place in a complex, non-stationary and noisy environment. This means that these dynamical processes at all levels from small neural networks to behavior should be stable against perturbations but flexible and adaptive. The goal of neurodynamics is to formulate the main dynamical principles which can be a basis of such behavior and to predict the possible activities of neurons and neural ensembles using the tools of nonlinear dynamics. In this paper we discuss our last results related to the mostly challenging part of neurodynamics: information processing by dynamical neural ensembles. © Plenum Publishing Corporation 2001 |
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Abstract The goal of neural science is to understand the brain, how we perceive, move, think, and remember. All of these things are dynamical processes which are taking place in a complex, non-stationary and noisy environment. This means that these dynamical processes at all levels from small neural networks to behavior should be stable against perturbations but flexible and adaptive. The goal of neurodynamics is to formulate the main dynamical principles which can be a basis of such behavior and to predict the possible activities of neurons and neural ensembles using the tools of nonlinear dynamics. In this paper we discuss our last results related to the mostly challenging part of neurodynamics: information processing by dynamical neural ensembles. © Plenum Publishing Corporation 2001 |
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I.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Some Problems of Information Neurodynamics</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2001</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Plenum Publishing Corporation 2001</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The goal of neural science is to understand the brain, how we perceive, move, think, and remember. All of these things are dynamical processes which are taking place in a complex, non-stationary and noisy environment. This means that these dynamical processes at all levels from small neural networks to behavior should be stable against perturbations but flexible and adaptive. The goal of neurodynamics is to formulate the main dynamical principles which can be a basis of such behavior and to predict the possible activities of neurons and neural ensembles using the tools of nonlinear dynamics. 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