Synopses & Reviews
Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and
Synopsis
Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and
Synopsis
This introduction to computational neuroscience equips readers with a solid understanding of techniques for modeling the nervous system at the membrane, cellular and network level. Covers membrane biophysics, systems theory and artificial neural networks.
About the Author
Hanspeter Mallot received his PhD from the Faculty of Biology, University of Mainz, Germany, in 1986. In the following years, he held postdoctoral and research positions at the Massachusetts Institute of Technology, the Ruhr-University Bochum, the Max-Planck-Institute for Biological Cybernetics in Tübingen and the Institute for Advanced Study, Berlin. In 2000, he was appointed Professor of Cognitive Neuroscience at the Eberhard-Karls-University, Tübingen. Research focusses on spatial cognition in rats, humans and robots, using behavioral experiments in virtual reality, eye-movement recordings, and simulated agents in hard- and software. Hanspeter Mallot is currently the Dean of the University Faculty of Biology. He is a member of the editorial board of the journal "Spatial Cognition and Computation". In the past, he served as a president of the European Neural Network Society (ENNS), as president of the German Society for Cognitive Science (GK) and as a member of the Neuroscience review pannel of the Deutsche Forschungsgemeinschaft.
Table of Contents
1 Excitable Membranes and Neural Conduction . . . . . . . . . . . . . . . . . . . . . 1.- 2 Receptive Fields and the Specificity of Neuronal Firing . . . . . . . . . . . . . 23.- 3 3 5 Coding and Representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 . Fourier Analysis for Neuroscientists . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.- 4 Artificial Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.- . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 . Fourier Analysis for Neuroscientists . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.- 4 Artificial Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.- . Fourier Analysis for Neuroscientists . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.- <4 artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 23.-="" 3="" 3="" 5="" coding="" and="" representation="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 115="" .="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 115="" .="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 1.-="" 2="" receptive="" fields="" and="" the="" specificity="" of="" neuronal="" firing="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 23.-="" 3="" 3="" 5="" coding="" and="" representation="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 115="" .="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 115="" .="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 23.-="" 3="" 3="" 5="" coding="" and="" representation="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 115="" .="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 115="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 1.-="" 2="" receptive="" fields="" and="" the="" specificity="" of="" neuronal="" firing="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 23.-="" 3="" 3="" 5="" coding="" and="" representation="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 115="" .="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 115="" .="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 23.-="" 3="" 3="" 5="" coding="" and="" representation="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 115="" .="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 115="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 23.-="" 3="" 3="" 5="" coding="" and="" representation="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 115="" .="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 115="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 115.="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" fourier="" analysis="" for="" neuroscientists="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 57.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" 4="" artificial="" neural="" networks="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" .="" 83.-="">