Isbn: 9781108483148 - principles of computational modelling in neuroscience (12 risultati)

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  • Lingua: Inglese

    Editore: Cambridge University Press, 2023

    1108483143 / 9781108483148

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  • Lingua: Inglese

    Editore: Cambridge University Press, 2023

    1108483143 / 9781108483148

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: Cambridge University Press, 2023

    1108483143 / 9781108483148

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    Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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  • Lingua: Inglese

    Editore: Cambridge University Press, GB, 2023

    1108483143 / 9781108483148

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    Hardback. Condizione: New. 2nd. 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.

  • Lingua: Inglese

    Editore: Cambridge University Press, 2023

    1108483143 / 9781108483148

    • Rilegato

    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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  • Lingua: Inglese

    Editore: Cambridge University Press, 2023

    1108483143 / 9781108483148

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    Condizione: New. 2nd edition NO-PA16APR2015-KAP.

  • Lingua: Inglese

    Editore: Cambridge University Press, GB, 2023

    1108483143 / 9781108483148

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    Hardback. Condizione: New. 2nd. 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.

  • Lingua: Inglese

    Editore: Cambridge University Press, GB, 2023

    1108483143 / 9781108483148

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    Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United

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    Hardback. Condizione: New. 2nd. 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.

  • Lingua: Inglese

    Editore: Cambridge University Press, GB, 2023

    1108483143 / 9781108483148

    • Rilegato

    Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK

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    Hardback. Condizione: New. 2nd. 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.

  • Lingua: Inglese

    Editore: Cambridge University Press, 2023

    1108483143 / 9781108483148

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  • Lingua: Inglese

    Editore: Cambridge University Press, Cambridge, 2023

    1108483143 / 9781108483148

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    Hardcover. Condizione: 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.

  • Lingua: Inglese

    Editore: Cambridge University Press, 2023

    1108483143 / 9781108483148

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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