Hysteresis and neural memory:
"This book presents a concise and rigorous exposition of Preisach hysteresis models and their applications to the modeling of neural memory. It demonstrates that memory of Preisach hysteresis models mimics such properties as: selective nature of neural memories extracted from sensory inputs, di...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore
World Scientific Publishing
[2019]
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| Subjects: | |
| Online Access: | UBY01 Volltext |
| Summary: | "This book presents a concise and rigorous exposition of Preisach hysteresis models and their applications to the modeling of neural memory. It demonstrates that memory of Preisach hysteresis models mimics such properties as: selective nature of neural memories extracted from sensory inputs, distributed nature of neural memories and their engrams, neural memory formation as an emerging property of sparse connectivity, neural memory stability with respect to protein turnover, neural memory storage plasticity and neural memory recalls and their effect on storage. The text is designed to be accessible and appealing to a broad audience of neuroscientists, biologists, bioengineers, electrical engineers, applied mathematicians and physicists interested in neural memory and its molecular basis"--Publisher's website |
| Item Description: | Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader |
| Physical Description: | 1 online resource (xiv, 278 pages) illustrations |
| ISBN: | 9811209510 9789811209512 |
Staff View
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| 500 | |a Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader | ||
| 505 | 8 | |a Includes bibliographical references and index | |
| 505 | 8 | |a Classical Preisach model. What is hysteresis? ; Definition of the classical Preisach model of hysteresis ; Diagram technique and the basic properties of the Preisach model ; Identification problem, FORCs and Representation Theorem ; Hysteresis energy losses -- Generalized Preisach models. "Moving" Preisach model of hysteresis ; Preisach model of hysteresis with input-dependent measure ; "Restricted" Preisach models of hysteresis ; "Dynamic" Preisach models of hysteresis ; Nonlinear diffusion and Preisach model -- Neural memory and hysteresis. Neuron ; Channels and synapses ; Action potentials ; Hysteresis models of neural memory ; Preisach based data storage and global optimizers -- Hysteresis driven by random processes. Basic facts about stochastic processes and hysteresis driven by I.I.D. processes ; Hysteresis driven by a continuous-time noise process ; Noise in hysteretic systems and stochastic processes on graphs ; Spectral density of outputs of hysteretic systems driven by noise ; Functional (path) integration models of hysteresis | |
| 520 | |a "This book presents a concise and rigorous exposition of Preisach hysteresis models and their applications to the modeling of neural memory. It demonstrates that memory of Preisach hysteresis models mimics such properties as: selective nature of neural memories extracted from sensory inputs, distributed nature of neural memories and their engrams, neural memory formation as an emerging property of sparse connectivity, neural memory stability with respect to protein turnover, neural memory storage plasticity and neural memory recalls and their effect on storage. The text is designed to be accessible and appealing to a broad audience of neuroscientists, biologists, bioengineers, electrical engineers, applied mathematicians and physicists interested in neural memory and its molecular basis"--Publisher's website | ||
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Record in the Search Index
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| author | Mayergoyz, I. D. |
| author_facet | Mayergoyz, I. D. |
| author_role | aut |
| author_sort | Mayergoyz, I. D. |
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| bvnumber | BV046808054 |
| collection | ZDB-124-WOP |
| contents | Includes bibliographical references and index Classical Preisach model. What is hysteresis? ; Definition of the classical Preisach model of hysteresis ; Diagram technique and the basic properties of the Preisach model ; Identification problem, FORCs and Representation Theorem ; Hysteresis energy losses -- Generalized Preisach models. "Moving" Preisach model of hysteresis ; Preisach model of hysteresis with input-dependent measure ; "Restricted" Preisach models of hysteresis ; "Dynamic" Preisach models of hysteresis ; Nonlinear diffusion and Preisach model -- Neural memory and hysteresis. Neuron ; Channels and synapses ; Action potentials ; Hysteresis models of neural memory ; Preisach based data storage and global optimizers -- Hysteresis driven by random processes. Basic facts about stochastic processes and hysteresis driven by I.I.D. processes ; Hysteresis driven by a continuous-time noise process ; Noise in hysteretic systems and stochastic processes on graphs ; Spectral density of outputs of hysteretic systems driven by noise ; Functional (path) integration models of hysteresis |
| ctrlnum | (ZDB-124-WOP)00011532 (OCoLC)1190676996 (DE-599)BVBBV046808054 |
| format | Electronic eBook |
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| id | DE-604.BV046808054 |
| illustrated | Illustrated |
| index_date | 2024-07-03T14:58:07Z |
| indexdate | 2024-07-10T08:54:24Z |
| institution | BVB |
| isbn | 9811209510 9789811209512 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032216667 |
| oclc_num | 1190676996 |
| open_access_boolean | |
| owner | DE-706 |
| owner_facet | DE-706 |
| physical | 1 online resource (xiv, 278 pages) illustrations |
| psigel | ZDB-124-WOP |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | World Scientific Publishing |
| record_format | marc |
| spelling | Mayergoyz, I. D. Verfasser aut Hysteresis and neural memory Isaak Mayerrgoyz, Can Korman Singapore World Scientific Publishing [2019] 1 online resource (xiv, 278 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader Includes bibliographical references and index Classical Preisach model. What is hysteresis? ; Definition of the classical Preisach model of hysteresis ; Diagram technique and the basic properties of the Preisach model ; Identification problem, FORCs and Representation Theorem ; Hysteresis energy losses -- Generalized Preisach models. "Moving" Preisach model of hysteresis ; Preisach model of hysteresis with input-dependent measure ; "Restricted" Preisach models of hysteresis ; "Dynamic" Preisach models of hysteresis ; Nonlinear diffusion and Preisach model -- Neural memory and hysteresis. Neuron ; Channels and synapses ; Action potentials ; Hysteresis models of neural memory ; Preisach based data storage and global optimizers -- Hysteresis driven by random processes. Basic facts about stochastic processes and hysteresis driven by I.I.D. processes ; Hysteresis driven by a continuous-time noise process ; Noise in hysteretic systems and stochastic processes on graphs ; Spectral density of outputs of hysteretic systems driven by noise ; Functional (path) integration models of hysteresis "This book presents a concise and rigorous exposition of Preisach hysteresis models and their applications to the modeling of neural memory. It demonstrates that memory of Preisach hysteresis models mimics such properties as: selective nature of neural memories extracted from sensory inputs, distributed nature of neural memories and their engrams, neural memory formation as an emerging property of sparse connectivity, neural memory stability with respect to protein turnover, neural memory storage plasticity and neural memory recalls and their effect on storage. The text is designed to be accessible and appealing to a broad audience of neuroscientists, biologists, bioengineers, electrical engineers, applied mathematicians and physicists interested in neural memory and its molecular basis"--Publisher's website Hysteresis / Mathematical models Neurophysiology Memory / Physiological aspects Electronic books Korman, Can Sonstige oth Erscheint auch als Druck-Ausgabe 9811209502 Erscheint auch als Druck-Ausgabe 9789811209505 https://www.worldscientific.com/worldscibooks/10.1142/11532 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Mayergoyz, I. D. Hysteresis and neural memory Includes bibliographical references and index Classical Preisach model. What is hysteresis? ; Definition of the classical Preisach model of hysteresis ; Diagram technique and the basic properties of the Preisach model ; Identification problem, FORCs and Representation Theorem ; Hysteresis energy losses -- Generalized Preisach models. "Moving" Preisach model of hysteresis ; Preisach model of hysteresis with input-dependent measure ; "Restricted" Preisach models of hysteresis ; "Dynamic" Preisach models of hysteresis ; Nonlinear diffusion and Preisach model -- Neural memory and hysteresis. Neuron ; Channels and synapses ; Action potentials ; Hysteresis models of neural memory ; Preisach based data storage and global optimizers -- Hysteresis driven by random processes. Basic facts about stochastic processes and hysteresis driven by I.I.D. processes ; Hysteresis driven by a continuous-time noise process ; Noise in hysteretic systems and stochastic processes on graphs ; Spectral density of outputs of hysteretic systems driven by noise ; Functional (path) integration models of hysteresis Hysteresis / Mathematical models Neurophysiology Memory / Physiological aspects |
| title | Hysteresis and neural memory |
| title_auth | Hysteresis and neural memory |
| title_exact_search | Hysteresis and neural memory |
| title_exact_search_txtP | Hysteresis and neural memory |
| title_full | Hysteresis and neural memory Isaak Mayerrgoyz, Can Korman |
| title_fullStr | Hysteresis and neural memory Isaak Mayerrgoyz, Can Korman |
| title_full_unstemmed | Hysteresis and neural memory Isaak Mayerrgoyz, Can Korman |
| title_short | Hysteresis and neural memory |
| title_sort | hysteresis and neural memory |
| topic | Hysteresis / Mathematical models Neurophysiology Memory / Physiological aspects |
| topic_facet | Hysteresis / Mathematical models Neurophysiology Memory / Physiological aspects |
| url | https://www.worldscientific.com/worldscibooks/10.1142/11532 |
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