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Published by Cambridge University Press (edition 2), 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
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Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
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Published by Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
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Language: English
Published by Cambridge University Press, Cambridge, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
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Paperback. Condition: new. Paperback. Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience. Providing a step-by-step and practical account of how to model neurons and neural circuitry, this textbook is designed for advanced undergraduate and postgraduate students of computational neuroscience as well as for researchers in neuroscience and related sciences wishing to apply computational approaches to interpret data and make predictions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
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Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
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Language: English
Published by Cambridge University Press CUP, 2011
ISBN 10: 0521877954 ISBN 13: 9780521877954
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Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521877954 ISBN 13: 9780521877954
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Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108483143 ISBN 13: 9781108483148
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Published by Cambridge University Press, 2023
ISBN 10: 1108483143 ISBN 13: 9781108483148
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Published by Cambridge University Press, 2023
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Published by Cambridge University Press, 2023
ISBN 10: 1108483143 ISBN 13: 9781108483148
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Published by Cambridge University Press, Cambridge, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
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Paperback. Condition: new. Paperback. Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience. Providing a step-by-step and practical account of how to model neurons and neural circuitry, this textbook is designed for advanced undergraduate and postgraduate students of computational neuroscience as well as for researchers in neuroscience and related sciences wishing to apply computational approaches to interpret data and make predictions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
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ISBN 10: 1108483143 ISBN 13: 9781108483148
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Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108483143 ISBN 13: 9781108483148
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Paperback. Condition: Brand New. 2nd edition. 544 pages. 10.00x8.00x1.12 inches. In Stock. This item is printed on demand.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
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Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521877954 ISBN 13: 9780521877954
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand pp. 401 178 Illus.
Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521877954 ISBN 13: 9780521877954
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Condition: New. PRINT ON DEMAND pp. 401.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
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Language: English
Published by Cambridge University Press, Cambridge, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience. Providing a step-by-step and practical account of how to model neurons and neural circuitry, this textbook is designed for advanced undergraduate and postgraduate students of computational neuroscience as well as for researchers in neuroscience and related sciences wishing to apply computational approaches to interpret data and make predictions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 2nd edition. 544 pages. 10.00x8.00x1.19 inches. In Stock. This item is printed on demand.
Language: English
Published by Cambridge University Press, Cambridge, 2023
ISBN 10: 1108483143 ISBN 13: 9781108483148
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience. Providing a step-by-step and practical account of how to model neurons and neural circuitry, this textbook is designed for advanced undergraduate and postgraduate students of computational neuroscience as well as for researchers in neuroscience and related sciences wishing to apply computational approaches to interpret data and make predictions. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Cambridge University Press, Cambridge, 2023
ISBN 10: 1108483143 ISBN 13: 9781108483148
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience. Providing a step-by-step and practical account of how to model neurons and neural circuitry, this textbook is designed for advanced undergraduate and postgraduate students of computational neuroscience as well as for researchers in neuroscience and related sciences wishing to apply computational approaches to interpret data and make predictions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.