WS 2026/2027
Computational Neuroscience:
Models of Neural Systems,
Theoretical Lectures
Richard Kempter and Benjamin Lindner
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WS 2026/2027Computational Neuroscience:
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Dates and Times: Weekly, on Mondays from 10:00 to 11:30h
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) | 19.10.2026 | Introduction; Simple units and networks of units (part 1) | (Kempter) |
| (2) | 26.10.2026 | Simple units and networks of units (part 2); Adaptation and learning (part 1) | (Kempter) |
| (3) | 02.11.2026 | Adaptation and learning (part 2) + Visual recepive fields | (Kempter) |
| (4) | 06.11.2026 | (FRIDAY, 12:00) Visual receptive fields | (Kempter) |
| | Complex, biophysical models: | | |
| (5) | 16.11.2026 | Nernst equation, GHK equation, membrane equation | (Lindner) |
| (6) | 23.11.2026 | Voltage clamp, synapses, integrate-and-fire models | (Lindner) |
| (7) | 30.11.2026 | Nonlinear membranes, voltage-dependent conductances | (Lindner) |
| (8) | 07.12.2026 | Gate model, Hodgkin-Huxley equations | (Lindner) |
| (9) | 14.12.2026 | Channel models, Conductance-based neuron models | (Lindner) |
| | Concepts of nonlinear dynamics; excitability: | | |
| (10) | 04.01.2027 | Phase-space analysis (1- and 2-dim systems) | (Lindner) |
| (11) | 11.01.2027 | Phase-space analysis (2-dim systems) | (Lindner) |
| (12) | 18.01.2027 | Phase-space analysis (2-dim systems) | (Lindner) |
| | Spatially extended neurons and networks: | | |
| (13) | 25.01.2027 | Models of dendrites and axons (cable theory I) | (Kempter) |
| (14) | 29.01.2027 | (FRIDAY, 12:00) Models of dendrites and axons (cable theory II) | (Kempter) |
| (15) | 08.02.2027 | Network models | (Kempter) |