Fundamentals of computational neuroscience:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Oxford ; New York
Oxford University Press
2010
|
| Edition: | Second edition |
| Subjects: | |
| Online Access: | FAW01 FAW02 Volltext |
| Item Description: | Description based on print version record |
| Physical Description: | 1 online resource (xxv, 390 pages) illustrations |
| ISBN: | 0191029440 0199568413 9780191029448 9780199568413 |
Staff View
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| 505 | 8 | |a Introduction -- Basic Neurons -- Neurons and conductance-based models -- Simplified neuron and population models -- Associators and synaptic plasticity -- Basic Networks -- Cortical organizations and simple networks -- Feed-forward mapping networks -- Cortical feature maps and competitive population coding -- Recurrent associative networks and episodic memory -- System-Level Models -- Modular networks, motor control, and reinforcement learning -- The cognitive brain -- Some useful mathematics -- Numerical calculus -- Basic probability theory -- Basic information theory -- A brief introduction to MATLAB. | |
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| author | Trappenberg, Thomas P. |
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| contents | Introduction -- Basic Neurons -- Neurons and conductance-based models -- Simplified neuron and population models -- Associators and synaptic plasticity -- Basic Networks -- Cortical organizations and simple networks -- Feed-forward mapping networks -- Cortical feature maps and competitive population coding -- Recurrent associative networks and episodic memory -- System-Level Models -- Modular networks, motor control, and reinforcement learning -- The cognitive brain -- Some useful mathematics -- Numerical calculus -- Basic probability theory -- Basic information theory -- A brief introduction to MATLAB. "Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing our understanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies. Each chapter starts by introducing its topic with experimental facts and conceptual questions related to the study of brain function. An additional feature is the inclusion of simple Matlab programs that can be used to explore many of the mechanisms explained in the book. An accompanying webpage includes programs for download. The book is aimed at those within the brain and cognitive sciences, from graduate level and upwards"--Provided by publisher |
| ctrlnum | (OCoLC)869736152 (DE-599)BVBBV043032917 |
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| discipline | Psychologie |
| edition | Second edition |
| format | Electronic eBook |
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| spelling | Trappenberg, Thomas P. Verfasser aut Fundamentals of computational neuroscience Thomas P. Trappenberg Second edition Oxford ; New York Oxford University Press 2010 1 online resource (xxv, 390 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Description based on print version record Introduction -- Basic Neurons -- Neurons and conductance-based models -- Simplified neuron and population models -- Associators and synaptic plasticity -- Basic Networks -- Cortical organizations and simple networks -- Feed-forward mapping networks -- Cortical feature maps and competitive population coding -- Recurrent associative networks and episodic memory -- System-Level Models -- Modular networks, motor control, and reinforcement learning -- The cognitive brain -- Some useful mathematics -- Numerical calculus -- Basic probability theory -- Basic information theory -- A brief introduction to MATLAB. "Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing our understanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies. Each chapter starts by introducing its topic with experimental facts and conceptual questions related to the study of brain function. An additional feature is the inclusion of simple Matlab programs that can be used to explore many of the mechanisms explained in the book. An accompanying webpage includes programs for download. The book is aimed at those within the brain and cognitive sciences, from graduate level and upwards"--Provided by publisher PSYCHOLOGY / Cognitive Psychology bisacsh SCIENCE / Cognitive Science bisacsh Computational neuroscience fast Gehirn gnd Modell gnd Nervennetz gnd Gehirn swd Modell swd Nervennetz swd Neurons / physiology Brain / physiology Computational Biology / methods Models, Neurological Nerve Net Neurosciences / methods Computational neuroscience Modell (DE-588)4039798-1 gnd rswk-swf Nervennetz (DE-588)4041638-0 gnd rswk-swf Gehirn (DE-588)4019752-9 gnd rswk-swf Nervennetz (DE-588)4041638-0 s Modell (DE-588)4039798-1 s 1\p DE-604 Gehirn (DE-588)4019752-9 s 2\p DE-604 Erscheint auch als Druck-Ausgabe Trappenberg, Thomas P . Fundamentals of computational neuroscience http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=694160 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Trappenberg, Thomas P. Fundamentals of computational neuroscience Introduction -- Basic Neurons -- Neurons and conductance-based models -- Simplified neuron and population models -- Associators and synaptic plasticity -- Basic Networks -- Cortical organizations and simple networks -- Feed-forward mapping networks -- Cortical feature maps and competitive population coding -- Recurrent associative networks and episodic memory -- System-Level Models -- Modular networks, motor control, and reinforcement learning -- The cognitive brain -- Some useful mathematics -- Numerical calculus -- Basic probability theory -- Basic information theory -- A brief introduction to MATLAB. "Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing our understanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies. Each chapter starts by introducing its topic with experimental facts and conceptual questions related to the study of brain function. An additional feature is the inclusion of simple Matlab programs that can be used to explore many of the mechanisms explained in the book. An accompanying webpage includes programs for download. The book is aimed at those within the brain and cognitive sciences, from graduate level and upwards"--Provided by publisher PSYCHOLOGY / Cognitive Psychology bisacsh SCIENCE / Cognitive Science bisacsh Computational neuroscience fast Gehirn gnd Modell gnd Nervennetz gnd Gehirn swd Modell swd Nervennetz swd Neurons / physiology Brain / physiology Computational Biology / methods Models, Neurological Nerve Net Neurosciences / methods Computational neuroscience Modell (DE-588)4039798-1 gnd Nervennetz (DE-588)4041638-0 gnd Gehirn (DE-588)4019752-9 gnd |
| subject_GND | (DE-588)4039798-1 (DE-588)4041638-0 (DE-588)4019752-9 |
| title | Fundamentals of computational neuroscience |
| title_auth | Fundamentals of computational neuroscience |
| title_exact_search | Fundamentals of computational neuroscience |
| title_full | Fundamentals of computational neuroscience Thomas P. Trappenberg |
| title_fullStr | Fundamentals of computational neuroscience Thomas P. Trappenberg |
| title_full_unstemmed | Fundamentals of computational neuroscience Thomas P. Trappenberg |
| title_short | Fundamentals of computational neuroscience |
| title_sort | fundamentals of computational neuroscience |
| topic | PSYCHOLOGY / Cognitive Psychology bisacsh SCIENCE / Cognitive Science bisacsh Computational neuroscience fast Gehirn gnd Modell gnd Nervennetz gnd Gehirn swd Modell swd Nervennetz swd Neurons / physiology Brain / physiology Computational Biology / methods Models, Neurological Nerve Net Neurosciences / methods Computational neuroscience Modell (DE-588)4039798-1 gnd Nervennetz (DE-588)4041638-0 gnd Gehirn (DE-588)4019752-9 gnd |
| topic_facet | PSYCHOLOGY / Cognitive Psychology SCIENCE / Cognitive Science Computational neuroscience Gehirn Modell Nervennetz Neurons / physiology Brain / physiology Computational Biology / methods Models, Neurological Nerve Net Neurosciences / methods |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=694160 |
| work_keys_str_mv | AT trappenbergthomasp fundamentalsofcomputationalneuroscience |