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WS 2025/2026

Computational Neuroscience:
Models of Neural Systems,
Theoretical Lectures

Richard Kempter and Benjamin Lindner

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Dates and Times: Weekly, on Mondays from 10:15 to 11:45h

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) 20.10.2025 Introduction; Simple units and networks of units (part 1) (Kempter)
(2) 27.10.2025 Simple units and networks of units (part 2); Adaptation and learning (part 1) (Kempter)
(3) 03.11.2025 Adaptation and learning (part 2) + Visual recepive fields (Kempter)
(4) 10.11.2025 Visual receptive fields (Kempter)

Complex, biophysical models:
(5) 17.11.2025 Nernst equation, GHK equation, membrane equation (Lindner)
(6) 24.11.2025 Voltage clamp, synapses, integrate-and-fire models (Lindner)
(7) 01.12.2025 Nonlinear membranes, voltage-dependent conductances (Lindner)
(8) 08.12.2025 Gate model, Hodgkin-Huxley equations (Lindner)
(9) 15.12.2025 Channel models, Conductance-based neuron models (Lindner)

Concepts of nonlinear dynamics; excitability:
(10) 05.01.2026 Phase-space analysis (1- and 2-dim systems) (Lindner)
(11) 12.01.2026 Phase-space analysis (2-dim systems) (Lindner)
(12) 19.01.2026 Phase-space analysis (2-dim systems) (Lindner)

Spatially extended neurons and networks:
(13) 26.01.2026 Models of dendrites and axons (cable theory I) (Kempter)
(14) 02.02.2026 Models of dendrites and axons (cable theory II) (Kempter)
(15) 09.02.2026 Network models (Kempter)