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WS 2018/2019

Computational Neuroscience:
Models of Neural Systems,
Theoretical Lectures

Richard Kempter

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Dates and Times: Weekly, on Mondays from 10:00 to 11:30h, from 22-October-2018 to 11-February-2018.

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, phenomenolocical models

(1) 22.10.2018 Introduction; Simple units and networks of units (part 1) (Kempter)
(2) 29.10.2018 Simple units and networks of units (part 2); Adaptation and learning (part 1) (Kempter)
(3) 05.11.2018 Adaptation and learning (part 2) + Visual recepive fields (Kempter)
(4) 12.11.2018 Visual receptive fields (Kempter)

Complex, biophysical models:

(5) 19.11.2018 Nernst equation, GHK equation, membrane equation (Kempter)
(6) 26.11.2018 Voltage clamp, synapses, integrate-and-fire models (Kempter)
(7) 03.12.2018 Nonlinear membranes, voltage-dependent conductances (Kempter)
(8) 10.12.2018 Gate model, Hodgkin-Huxley equations (Kempter)
(9) 17.12.2019 Channel models, Conductance-based neuron models (Kempter)

Concepts of nonlinear dynamics; excitability:

(10) 07.01.2019 Phase-space analysis (1- and 2-dim systems) (Kempter)
(11) 14.01.2019 Phase-space analysis (2-dim systems) (Kempter)
(12) 21.01.2019 Phase-space analysis (2-dim systems) (Kempter)

Spatially extended neurons and networks:

(13) 28.01.2019 Models of dendrites and axons (cable theory I) (Kempter)
(14) 04.02.2019 Models of dendrites and axons (cable theory II) (Kempter)
(15)_ 11.02.2019 Network models (Kempter)