Computational Neuroscience
Subtitle: A First Course
By: by Hanspeter A Mallot
Contributors: SpringerLink (Online service)
Series: Springer Series in Bio-/Neuroinformatics -- 2
Publisher: Springer International Publishing; Imprint: Springer
Published: 2013
Place of publication: Heidelberg
Language: eng
Format: [electronic resource] :
Number of pages: 135
ISBN-13: 9783319008615
Subjects: Neurosciences; Engineering; Physics; Computational intelligence; Complexity
Description: 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.
Table of contents: title: Excitable Membranes and Neural Conduction; title: Receptive Fields and the Specificity of Neuronal Firing; title: Coding and Representation; title: Fourier Analysis for Neuroscientists; title: Artificial Neural Networks.