Lecture Introduction to Computational Neuroscience, 13. Lesson  
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Description: Vorlesung im WiSe 2018-2019; Freitag, 30. November 2018
Creator: Hanspeter Mallot (author)
Contributor: ZDV Universität Tübingen(producer)
Publisher: ZDV Universität Tübingen
Date Created: 2018-11-30
Subjects: Neurobiologie , Computational Neuroscience , Lecture , Vorlesung , Fourier-Transforms , sinusoidals , Eigenfunction of convolution , Campbell-curve , Complex numbers , Complex plane
Identifier: UT_20181130_001_compneuro_0001
Rights: Rechtshinweise
Abstracts: The course will provide an overview over the field of computational neuroscience focussing on four topics: (i) biophysics of excitable membranes: Hodgekin-Huxley theory of the action potential and cable theory of passive conduction, (ii) receptive fields including linear systems and Fourier theory, (iii) neural networks and basics of statistical learning theory, and (iv) neural coding. The focus of the course is on central neuroscience mechanisms; mathematical formalizations are presented on a medium level that should be accessable with highschool or introductory BSc level knowledge of mathematics.
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