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Javascript muss aktiviert sein.
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Description:
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Vorlesung im WiSe 2018-2019; Freitag, 11. Januar 2019
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Creator:
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Hanspeter Mallot (author)
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Contributor:
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ZDV Universität Tübingen(producer)
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Publisher:
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ZDV Universität Tübingen
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Date Created:
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2019-01-11
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Subjects:
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Neurobiologie
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Computational Neuroscience
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Lecture
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Vorlesung
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Associator
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Self-organization
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Competitive learning
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Hebb learning rule
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Oja learning rule
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Identifier:
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UT_20190111_002_compneuro_0001
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Rights:
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Rechtshinweise
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Abstracts:
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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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