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Lecture Introduction to Computational Neuroscience, 13. Lesson
Mallot, Hanspeter (2018)
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mla
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Mallot H. "Lecture Introduction to Computational Neuroscience, 13. Lesson.", timms video, Universität Tübingen (2018): https://timms.uni-tuebingen.de:443/tp/UT_20181130_001_compneuro_0001. Accessed 11 Dec 2018.
apa
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Mallot, H. (2018). Lecture Introduction to Computational Neuroscience, 13. Lesson. timms video: Universität Tübingen. Retrieved December 11, 2018 from the World Wide Web https://timms.uni-tuebingen.de:443/tp/UT_20181130_001_compneuro_0001
harvard
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Mallot, H. (2018). Lecture Introduction to Computational Neuroscience, 13. Lesson [Online video]. 30 November. Available at: https://timms.uni-tuebingen.de:443/tp/UT_20181130_001_compneuro_0001 (Accessed: 11 December 2018).
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title: Lecture Introduction to Computational Neuroscience, 13. Lesson
alt. title:
creator: Mallot, Hanspeter (author)
subjects: Neurobiologie, Computational Neuroscience, Lecture, Vorlesung, Fourier-Transforms, sinusoidals, Eigenfunction of convolution, Campbell-curve, Complex numbers, Complex plane
description: Vorlesung im WiSe 2018-2019; Freitag, 30. November 2018
abstract: 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.
publisher: ZDV Universität Tübingen
contributor: ZDV Universität Tübingen (producer)
creation date: 2018-11-30
dc type: image
localtype: video
identifier: UT_20181130_001_compneuro_0001
language: eng
rights: Url: https://timmsstatic.uni-tuebingen.de/jtimms/TimmsDisclaimer.html?636801208358686432