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Beschreibung
Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.
Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.
Inhaltsverzeichnis
Excitable Membranes and Neural Conduction.- Receptive Fields and the Specificity of Neuronal Firing.- Coding and Representation.- Fourier Analysis for Neuroscientists.- Artificial Neural Networks.
Details
Erscheinungsjahr: 2015
Genre: Biologie, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xi
135 S.
ISBN-13: 9783319033068
ISBN-10: 3319033069
Sprache: Englisch
Herstellernummer: 978-3-319-03306-8
Einband: Kartoniert / Broschiert
Autor: Mallot, Hanspeter
Hersteller: Springer
Springer, Berlin
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Abbildungen: XI, 135 p.
Maße: 235 x 154 x 9 mm
Von/Mit: Hanspeter Mallot
Erscheinungsdatum: 17.06.2015
Gewicht: 0,247 kg
Artikel-ID: 104572031