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WS 2024/2025

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, from 21-October-2024 to 10-February-2025.

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) 21.10.2024 Introduction; Simple units and networks of units (part 1) (Kempter)
(2) 28.10.2024 Simple units and networks of units (part 2); Adaptation and learning (part 1) (Kempter)
(3) 04.11.2024 Adaptation and learning (part 2) + Visual recepive fields (Kempter)
(4) 11.11.2024 (start at 8:30 am) Visual receptive fields (Kempter)

Complex, biophysical models:

(5) 18.11.2024 Nernst equation, GHK equation, membrane equation (Lindner)
(6) 25.11.2024 Voltage clamp, synapses, integrate-and-fire models (Lindner)
(7) 02.12.2024 Nonlinear membranes, voltage-dependent conductances (Lindner)
(8) 09.12.2024 Gate model, Hodgkin-Huxley equations (Lindner)
(9) 16.12.2024 Channel models, Conductance-based neuron models (Lindner)

Concepts of nonlinear dynamics; excitability:

(10) 06.01.2025 Phase-space analysis (1- and 2-dim systems) (Lindner)
(11) 13.01.2025 Phase-space analysis (2-dim systems) (Lindner)
(12) 20.01.2025 Phase-space analysis (2-dim systems) (Lindner)

Spatially extended neurons and networks:

(13) 27.01.2025 Models of dendrites and axons (cable theory I) (Kempter)
(14) 03.02.2025 Models of dendrites and axons (cable theory II) (Kempter)
(15) 10.02.2025 Network models (Kempter)