itblogo

WS 2019/2020

Computational Neuroscience:
Models of Neural Systems,
Theoretical Lectures

Richard Kempter and Benjamin Lindner

bccnlogo

Dates and Times: Weekly, on Mondays from 10:00 to 11:30h, from 21-October-2019 to 11-February-2020.

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) 21.10.2019 Introduction; Simple units and networks of units (part 1) (Kempter)
(2) 28.10.2019 Simple units and networks of units (part 2); Adaptation and learning (part 1) (Kempter)
(3) 04.11.2019 Adaptation and learning (part 2) + Visual recepive fields (Kempter)
(4) 11.11.2019 Visual receptive fields (Kempter)

Complex, biophysical models:

(5) 18.11.2019 Nernst equation, GHK equation, membrane equation (Lindner)
(6) 25.11.2019 Voltage clamp, synapses, integrate-and-fire models (Lindner)
(7) 02.12.2019 Nonlinear membranes, voltage-dependent conductances (Lindner)
(8) 09.12.2019 Gate model, Hodgkin-Huxley equations (Lindner)
(9) 16.12.2019 Channel models, Conductance-based neuron models (Lindner)

Concepts of nonlinear dynamics; excitability:

(10) 06.01.2020 Phase-space analysis (1- and 2-dim systems) (Lindner)
(11) 13.01.2020 Phase-space analysis (2-dim systems) (Lindner)
(12) 20.01.2020 Phase-space analysis (2-dim systems) (Lindner)

Spatially extended neurons and networks:

(13) 27.01.2020 Models of dendrites and axons (cable theory I) (Kempter)
(14) 03.02.2020 Models of dendrites and axons (cable theory II) (Kempter)
(15) 10.02.2020 Network models (Kempter)