Lingua: Inglese
Editore: Cambridge University Press (edition 2), 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condizione: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: Textbooks_Source, Columbia, MO, U.S.A.
paperback. Condizione: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: 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.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 2nd edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: Majestic Books, Hounslow, Regno Unito
EUR 74,01
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: Biblios, Frankfurt am main, HESSE, Germania
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 75,59
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2023. 2nd Revised ed. paperback. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Cambridge University Press Okt 2023, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 94,82
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - 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.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 140,99
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 170,68
Quantità: 16 disponibili
Aggiungi al carrelloCondizione: New. 2023. 2nd Revised ed. paperback. . . . . .
Da: Revaluation Books, Exeter, Regno Unito
EUR 77,53
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 544 pages. 10.00x8.00x1.12 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 79,47
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1108716423 ISBN 13: 9781108716420
Da: CitiRetail, Stevenage, Regno Unito
EUR 105,76
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.