Hermann Cuntz (21 results)
Published by Erlangen 1935
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Add to basketCondition: gut. 60 S., 21 cm, Bibliotheksexemplar, sekundär gebunden, gebräunt. Sprache: Deutsch.
Language: English
Published by Springer 2013
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
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Published by Springer 2016
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
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Condition: New. pp. 528 Softcover reprint of the original 1st ed. 2014 edition NO-PA16APR2015-KAP.
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Published by Springer 2016
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
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Taschenbuch. Condition: Neu. The Computing Dendrite | From Structure to Function | Hermann Cuntz (u. a.) | Taschenbuch | xviii | Englisch | 2016 | Springer | EAN 9781493953530 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preig…u.
Language: English
Published by Springer 2013
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Published by Springer New York, Springer US 2013
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neuronal dendritic trees are complex structures that endow the cell with powerful computing capabilities and allow for high neural interconnectivity. Studying the function of dendritic structures has a long tradition in theoretical neuroscience, starting…with the pioneering work by Wilfrid Rall in the 1950s. Recent advances in experimental techniques allow us to study dendrites with a new perspective and in greater detail. The goal of this volume is to provide a résumé of the state-of-the-art in experimental, computational, and mathematical investigations into the functions of dendrites in a variety of neural systems.The book first looks at morphological properties of dendrites and summarizes the approaches to measure dendrite morphology quantitatively and to actually generate synthetic dendrite morphologies in computer models. This morphological characterization ranges from the study of fractal principles to describe dendrite topologies, to the consequences of optimization principles for dendrite shape. Individual approaches are collected to study the aspects of dendrite shape that relate directly to underlying circuit constraints and computation.The second main theme focuses on how dendrites contribute to the computations that neurons perform. What role do dendritic morphology and the distributions of synapses and membrane properties over the dendritic tree have in determining the output of a neuron in response to its input A wide range of studies is brought together, with topics ranging from general to system-specific phenomena-some having a strong experimental component, and others being fully theoretical. The studies come from many different neural systems and animal species ranging from invertebrates to mammals. With this broad focus, an overview is given of the diversity of mechanisms that dendrites can employ to shape neural computations.
Language: English
Published by Springer New York, Springer 2016
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neuronal dendritic trees are complex structures that endow the cell with powerful computing capabilities and allow for high neural interconnectivity. Studying the function of dendritic structures has a long tradition in theoretical neuroscience, st…arting with the pioneering work by Wilfrid Rall in the 1950s. Recent advances in experimental techniques allow us to study dendrites with a new perspective and in greater detail. The goal of this volume is to provide a résumé of the state-of-the-art in experimental, computational, and mathematical investigations into the functions of dendrites in a variety of neural systems.The book first looks at morphological properties of dendrites and summarizes the approaches to measure dendrite morphology quantitatively and to actually generate synthetic dendrite morphologies in computer models. This morphological characterization ranges from the study of fractal principles to describe dendrite topologies, to the consequences of optimization principles for dendrite shape. Individual approaches are collected to study the aspects of dendrite shape that relate directly to underlying circuit constraints and computation.The second main theme focuses on how dendrites contribute to the computations that neurons perform. What role do dendritic morphology and the distributions of synapses and membrane properties over the dendritic tree have in determining the output of a neuron in response to its input A wide range of studies is brought together, with topics ranging from general to system-specific phenomena-some having a strong experimental component, and others being fully theoretical. The studies come from many different neural systems and animal species ranging from invertebrates to mammals. With this broad focus, an overview is given of the diversity of mechanisms that dendrites can employ to shape neural computations.
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Published by Springer 2016
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Dendritic Computations Through Morphology and Connectivity
Cuntz, Hermann (Editor)/ Remme, Michiel (Editor)/ Torben-nielsen, Benjamin (Editor)
Published by Springer Verlag 2013
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Hardcover. Condition: Brand New. 1st edition. 510 pages. 9.25x6.25x1.25 inches. In Stock.
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Published by Springer 2013
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
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Published by Springer 2016
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Published by Springer New York Aug 2016 2016
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Neuronal dendritic trees are complex structures that endow the cell with powerful computing capabilities and allow for high neural interconnectivity. Studying the function of dendritic structures has a long tradition in theoretical…neuroscience, starting with the pioneering work by Wilfrid Rall in the 1950s. Recent advances in experimental techniques allow us to study dendrites with a new perspective and in greater detail. The goal of this volume is to provide a résumé of the state-of-the-art in experimental, computational, and mathematical investigations into the functions of dendrites in a variety of neural systems.The book first looks at morphological properties of dendrites and summarizes the approaches to measure dendrite morphology quantitatively and to actually generate synthetic dendrite morphologies in computer models. This morphological characterization ranges from the study of fractal principles to describe dendrite topologies, to the consequences of optimization principles for dendrite shape. Individual approaches are collected to study the aspects of dendrite shape that relate directly to underlying circuit constraints and computation.The second main theme focuses on how dendrites contribute to the computations that neurons perform. What role do dendritic morphology and the distributions of synapses and membrane properties over the dendritic tree have in determining the output of a neuron in response to its input A wide range of studies is brought together, with topics ranging from general to system-specific phenomena-some having a strong experimental component, and others being fully theoretical. The studies come from many different neural systems and animal species ranging from invertebrates to mammals. With this broad focus, an overview is given of the diversity of mechanisms that dendrites can employ to shape neural computations. 528 pp. Englisch.
Language: English
Published by Springer New York Nov 2013 2013
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Neuronal dendritic trees are complex structures that endow the cell with powerful computing capabilities and allow for high neural interconnectivity. Studying the function of dendritic structures has a long tradition in theoretical neurosc…ience, starting with the pioneering work by Wilfrid Rall in the 1950s. Recent advances in experimental techniques allow us to study dendrites with a new perspective and in greater detail. The goal of this volume is to provide a résumé of the state-of-the-art in experimental, computational, and mathematical investigations into the functions of dendrites in a variety of neural systems.The book first looks at morphological properties of dendrites and summarizes the approaches to measure dendrite morphology quantitatively and to actually generate synthetic dendrite morphologies in computer models. This morphological characterization ranges from the study of fractal principles to describe dendrite topologies, to the consequences of optimization principles for dendrite shape. Individual approaches are collected to study the aspects of dendrite shape that relate directly to underlying circuit constraints and computation.The second main theme focuses on how dendrites contribute to the computations that neurons perform. What role do dendritic morphology and the distributions of synapses and membrane properties over the dendritic tree have in determining the output of a neuron in response to its input A wide range of studies is brought together, with topics ranging from general to system-specific phenomena-some having a strong experimental component, and others being fully theoretical. The studies come from many different neural systems and animal species ranging from invertebrates to mammals. With this broad focus, an overview is given of the diversity of mechanisms that dendrites can employ to shape neural computations. 528 pp. Englisch.
Language: English
Published by Springer New York 2013
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Looks at the morphological properties of dendrites Summarizes the approaches to either measure dendrite morphology quantitatively or to actually generate synthetic dendrite morphologies in computer modelsBrings togeth…er a wide range of stud.
Language: English
Published by Springer New York 2016
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Looks at the morphological properties of dendrites Summarizes the approaches to either measure dendrite morphology quantitatively or to actually generate synthetic dendrite morphologies in com…puter modelsBrings together a wide range of stud.
Language: English
Published by Springer 2016
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
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Condition: New. Print on Demand pp. 528.
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Published by Springer New York, Springer US Nov 2013 2013
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Neuronal dendritic trees are complex structures that endow the cell with powerful computing capabilities and allow for high neural interconnectivity. Studying the function of dendritic structures has a long tradition in theoretical neuroscienc…e, starting with the pioneering work by Wilfrid Rall in the 1950s. Recent advances in experimental techniques allow us to study dendrites with a new perspective and in greater detail. The goal of this volume is to provide a résumé of the state-of-the-art in experimental, computational, and mathematical investigations into the functions of dendrites in a variety of neural systems.Thebook firstlooks at morphological properties of dendrites and summarizes the approaches to measure dendrite morphology quantitatively and to actually generate synthetic dendrite morphologies in computer models. This morphological characterization ranges from the study of fractal principles to describe dendrite topologies, to the consequences of optimization principles for dendrite shape. Individual approaches are collected to study the aspects of dendrite shape that relate directly to underlying circuit constraints and computation.The second main theme focuses on how dendrites contribute to the computations that neurons perform. What role do dendritic morphology andthe distributions of synapses and membrane properties over the dendritic tree have in determining the output of a neuron in response to its input A wide range of studies is brought together, with topics ranging from general to system-specific phenomenäsome having a strong experimental component, and others being fully theoretical. The studies come from many different neural systems and animal species ranging from invertebrates to mammals.With this broad focus, an overview is given of the diversity of mechanisms that dendrites can employ to shape neural computations.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 528 pp. Englisch.
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Published by Springer New York, Springer Aug 2016 2016
Series: Springer Series in Computational Neuroscience, Book 10 of 17. Book 10 of 17 - Springer Series in Computational Neuroscience
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Neuronal dendritic trees are complex structures that endow the cell with powerful computing capabilities and allow for high neural interconnectivity. Studying the function of dendritic structures has a long tradition in theoretical neur…oscience, starting with the pioneering work by Wilfrid Rall in the 1950s. Recent advances in experimental techniques allow us to study dendrites with a new perspective and in greater detail. The goal of this volume is to provide a résumé of the state-of-the-art in experimental, computational, and mathematical investigations into the functions of dendrites in a variety of neural systems.Thebook firstlooks at morphological properties of dendrites and summarizes the approaches to measure dendrite morphology quantitatively and to actually generate synthetic dendrite morphologies in computer models. This morphological characterization ranges from the study of fractal principles to describe dendrite topologies, to the consequences of optimization principles for dendrite shape. Individual approaches are collected to study the aspects of dendrite shape that relate directly to underlying circuit constraints and computation.The second main theme focuses on how dendrites contribute to the computations that neurons perform. What role do dendritic morphology andthe distributions of synapses and membrane properties over the dendritic tree have in determining the output of a neuron in response to its input A wide range of studies is brought together, with topics ranging from general to system-specific phenomenäsome having a strong experimental component, and others being fully theoretical. The studies come from many different neural systems and animal species ranging from invertebrates to mammals.With this broad focus, an overview is given of the diversity of mechanisms that dendrites can employ to shape neural computations.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 528 pp. Englisch.
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Published by Springer 2013
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