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WS 2021/2022

Computational Neuroscience:
Models of Neural Systems,
Theoretical Lectures

Richard Kempter and Benjamin Lindner

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Dates and Times: Weekly, on Mondays from 10:00 to 11:30h, from 25-October-2021 to 14-February-2022.

Location: Bernstein Center for Computational Neurosciences Berlin, Haus 6, Lecture Hall, Philippstr. 13.

Lecture notes and recommended reading (pdf files): Available at the Moodle Course ''Models of Neural Systems: Theoretical Lecture''



Abstract, simple, phenomenological models

(1) 25.10.2021 Introduction; Simple units and networks of units (part 1) (Kempter)
(2) 01.11.2021 Simple units and networks of units (part 2); Adaptation and learning (part 1) (Kempter)
(3) 08.11.2021 Adaptation and learning (part 2) + Visual recepive fields (Kempter)
(4) 15.11.2021 Visual receptive fields (Kempter)

Complex, biophysical models:

(5) 22.11.2021 Nernst equation, GHK equation, membrane equation (Lindner)
(6) 29.11.2021 Voltage clamp, synapses, integrate-and-fire models (Lindner)
(7) 06.12.2021 Nonlinear membranes, voltage-dependent conductances (Lindner)
(8) 13.12.2021 Gate model, Hodgkin-Huxley equations (Lindner)
(9) 03.01.2022 Channel models, Conductance-based neuron models (Lindner)

Concepts of nonlinear dynamics; excitability:

(10) 10.01.2022 Phase-space analysis (1- and 2-dim systems) (Lindner)
(11) 17.01.2022 Phase-space analysis (2-dim systems) (Lindner)
(12) 24.01.2022 Phase-space analysis (2-dim systems) (Lindner)

Spatially extended neurons and networks:

(13) 31.01.2022 Models of dendrites and axons (cable theory I) (Kempter)
(14) 07.02.2022 Models of dendrites and axons (cable theory II) (Kempter)
(15) 14.02.2022 Network models (Kempter)