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Lecture Introduction to Computational Neuroscience, 2. Lesson
Mallot, Hanspeter (2018)
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mla
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Mallot H. "Lecture Introduction to Computational Neuroscience, 2. Lesson.", timms video, Universität Tübingen (2018): http://timms.uni-tuebingen.de:80/tp/UT_20181019_002_compneuro_0001. Accessed 21 Nov 2018.
apa
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Mallot, H. (2018). Lecture Introduction to Computational Neuroscience, 2. Lesson. timms video: Universität Tübingen. Retrieved November 21, 2018 from the World Wide Web http://timms.uni-tuebingen.de:80/tp/UT_20181019_002_compneuro_0001
harvard
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Mallot, H. (2018). Lecture Introduction to Computational Neuroscience, 2. Lesson [Online video]. 19 October. Available at: http://timms.uni-tuebingen.de:80/tp/UT_20181019_002_compneuro_0001 (Accessed: 21 November 2018).
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title: Lecture Introduction to Computational Neuroscience, 2. Lesson
alt. title:
creator: Mallot, Hanspeter (author)
subjects: Neurobiologie, Computational Neuroscience, Lecture, Vorlesung, Hodgkin-Huxley Theory, K-Channel, Potassium Channel
description: Vorlesung im WiSe 2018-2019; Freitag, 19. Oktober 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: 2018-10-19
dc type: image
localtype: video
identifier: UT_20181019_002_compneuro_0001
language: eng
rights: Url: http://timms.uni-tuebingen.de:9090/jtimms/TimmsDisclaimer.html?636783576970420954