Computational neuroscience : a first course

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 f...

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Dades bibliogràfiques
Autor principal: Mallot, Hanspeter
Format: Livre numérique
Idioma:Anglais
Publicat: Cham : Springer International Publishing [20..].
Cham : Springer Nature
Edició:1st ed. 2013.
Col·lecció:Springer Series in Bio-/Neuroinformatics 2
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Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Computational Neuroscience, Texte imprimé, 9783319008608
• Computational Neuroscience, Texte imprimé, 9783319008622
• Computational Neuroscience, Texte imprimé, 9783319033068
• Computational Neuroscience, Texte imprimé, 9783319008608
Descripció
Sumari: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
Descripció de l’ítem:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783319008615
ISSN:2193-9357
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017