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Principles of Computational Modelling in Neuroscience
Taschenbuch von David Sterratt (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor
David Sterratt is Lecturer and Deputy Director of Learning and Teaching in the Institute for Adaptive and Neural Computation, School of Informatics, at the University of Edinburgh. He developed material for this book while teaching computational neuroscience to informatics, neuroscience, and neuroinformatics masters students. He has developed and maintains several scientific software packages.
Inhaltsverzeichnis
Preface; Acknowledgements; List of abbreviations 1. Introduction; 2. The basis of electrical activity in the neuron; 3. The Hodgkin¿Huxley model of the action potential; 4. Models of active ion channels; 5. Modelling neurons over space and time; 6. Intracellular mechanisms; 7. The synapse; 8. Simplified models of the neuron; 9. Networks of neurons; 10. Brain tissue; 11. Plasticity; 12. Development of the nervous system; 13. Modelling measurements and stimulation; 14. Model selection and optimisation; 15. Farewell; References; Index.
Details
Erscheinungsjahr: 2023
Fachbereich: Gentechnologie
Genre: Biologie
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 544
ISBN-13: 9781108716420
ISBN-10: 1108716423
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Sterratt, David
Graham, Bruce
Gillies, Andrew
Einevoll, Gaute
Willshaw, David
Auflage: 2nd Revised edition
Hersteller: European Community
Maße: 254 x 203 x 28 mm
Von/Mit: David Sterratt (u. a.)
Erscheinungsdatum: 05.10.2023
Gewicht: 1,08 kg
preigu-id: 127765728
Über den Autor
David Sterratt is Lecturer and Deputy Director of Learning and Teaching in the Institute for Adaptive and Neural Computation, School of Informatics, at the University of Edinburgh. He developed material for this book while teaching computational neuroscience to informatics, neuroscience, and neuroinformatics masters students. He has developed and maintains several scientific software packages.
Inhaltsverzeichnis
Preface; Acknowledgements; List of abbreviations 1. Introduction; 2. The basis of electrical activity in the neuron; 3. The Hodgkin¿Huxley model of the action potential; 4. Models of active ion channels; 5. Modelling neurons over space and time; 6. Intracellular mechanisms; 7. The synapse; 8. Simplified models of the neuron; 9. Networks of neurons; 10. Brain tissue; 11. Plasticity; 12. Development of the nervous system; 13. Modelling measurements and stimulation; 14. Model selection and optimisation; 15. Farewell; References; Index.
Details
Erscheinungsjahr: 2023
Fachbereich: Gentechnologie
Genre: Biologie
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 544
ISBN-13: 9781108716420
ISBN-10: 1108716423
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Sterratt, David
Graham, Bruce
Gillies, Andrew
Einevoll, Gaute
Willshaw, David
Auflage: 2nd Revised edition
Hersteller: European Community
Maße: 254 x 203 x 28 mm
Von/Mit: David Sterratt (u. a.)
Erscheinungsdatum: 05.10.2023
Gewicht: 1,08 kg
preigu-id: 127765728
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