WS 2023/2024
Computational Neuroscience:
Models of Neural Systems,
Theoretical Lectures
Richard Kempter and Benjamin Lindner
|
|
WS 2023/2024Computational Neuroscience:
|
|
Dates and Times: Weekly, on Mondays from 10:15 to 11:45h, from 23-October-2023 to 12-February-2024.
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) | 23.10.2023 | Introduction; Simple units and networks of units (part 1) | (Kempter) |
| (2) | 30.10.2023 | Simple units and networks of units (part 2); Adaptation and learning (part 1) | (Kempter) |
| (3) | 06.11.2023 | Adaptation and learning (part 2) + Visual recepive fields | (Kempter) |
| (4) | 13.11.2023 | Visual receptive fields | (Kempter) |
| Complex, biophysical models: | | ||
| (5) | 20.11.2023 | Nernst equation, GHK equation, membrane equation | (Lindner) |
| (6) | 27.11.2023 | Voltage clamp, synapses, integrate-and-fire models | (Lindner) |
| (7) | 04.12.2023 | Nonlinear membranes, voltage-dependent conductances | (Lindner) |
| (8) | 11.12.2023 | Gate model, Hodgkin-Huxley equations | (Lindner) |
| (9) | 18.12.2023 | Channel models, Conductance-based neuron models | (Lindner) |
| Concepts of nonlinear dynamics; excitability: | | ||
| (10) | 08.01.2024 | Phase-space analysis (1- and 2-dim systems) | (Kempter) |
| (11) | 15.01.2024 | Phase-space analysis (2-dim systems) | (Lindner) |
| (12) | 22.01.2024 | Phase-space analysis (2-dim systems) | (Lindner) |
| Spatially extended neurons and networks: | | ||
| (13) | 29.01.2024 | Models of dendrites and axons (cable theory I) | (Kempter) |
| (14) | 05.02.2024 | Models of dendrites and axons (cable theory II) | (Kempter) |
| (15) | 12.02.2024 | Network models | (Kempter) |