WS 2022/2023
Computational Neuroscience:
Models of Neural Systems,
Theoretical Lectures
Richard Kempter and Benjamin Lindner
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WS 2022/2023Computational Neuroscience:
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Dates and Times: Weekly, on Mondays from 10:00 to 11:30h, from 24-October-2022 to 13-February-2023.
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) | 24.10.2022 | Introduction; Simple units and networks of units (part 1) | (Kempter) |
| (2) | 31.10.2022 | Simple units and networks of units (part 2); Adaptation and learning (part 1) | (Kempter) |
| (3) | 07.11.2022 | Adaptation and learning (part 2) + Visual recepive fields | (Kempter) |
| (4) | 14.11.2022 | Visual receptive fields | (Kempter) |
| Complex, biophysical models: | | ||
| (5) | 21.11.2022 | Nernst equation, GHK equation, membrane equation | (Lindner) |
| (6) | 28.11.2022 | Voltage clamp, synapses, integrate-and-fire models | (Lindner) |
| (7) | 05.12.2022 | Nonlinear membranes, voltage-dependent conductances | (Lindner) |
| (8) | 12.12.2022 | Gate model, Hodgkin-Huxley equations | (Lindner) |
| (9) | 02.01.2023 | Channel models, Conductance-based neuron models | (Lindner) |
| Concepts of nonlinear dynamics; excitability: | | ||
| (10) | 09.01.2023 | Phase-space analysis (1- and 2-dim systems) | (Lindner) |
| (11) | 16.01.2023 | Phase-space analysis (2-dim systems) | (Lindner) |
| (12) | 23.01.2023 | Phase-space analysis (2-dim systems) | (Lindner) |
| Spatially extended neurons and networks: | | ||
| (13) | 30.01.2023 | Models of dendrites and axons (cable theory I) | (Kempter) |
| (14) | 06.02.2023 | Models of dendrites and axons (cable theory II) | (Kempter) |
| (15) | 13.02.2023 | Network models | (Kempter) |