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Computational Neuroscience
Last Updated: 2026-02-05 15:13:23
Abstract
The course is focuses on the computations performed by neural elements and assemblies. We study computations performed by individual neurons, and those achieved by networks of interconnected neurons. This course is complemented by the course “Systems Neuroscience”.
Objective
The goals of the course are to 1) understand how complex computations are performed by neural elements, 2) get acquainted with the various techniques to study single neurons and neuronal assemblies, and 3) acquire knowledge of current and classical results on these issues.
Content
The course starts with the study of neuronal elements, then focuses on the analysis of computation at the single neuron level, and ends with the computational properties of neural networks. We study how computations are achieved through the biophysical properties of single neurons, and how networks of interconnected neurons can increase this computational power.
Resources
Literature
Numerous scientific articles and book chapters are used.
General Information
- Language
- English
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Computational Neuroscience
Permission from lecturers required for all students.
Blockkurs im 1. Viertel des Herbstsemesters
(beschränkt auf max. 15 Teilnehmende)
|
|
100 h semesterly |
Offered In
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Block Courses, 5. Semester (Separate registration required. Information at )
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Block Courses in 1. Quarter of the Semester (From Tues. 18.09.2007, 13:00 hr to Wed. 10.10.2007, 17:00 hr)
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