neu710 - Neuroscientific Data Analysis in Matlab
Module label | Neuroscientific Data Analysis in Matlab |
Modulkürzel | neu710 |
Credit points | 6.0 KP |
Workload | 180 h
( 180 h 2 SWS Supervised exercise (UE) |
Institute directory | Department of Neurosciences |
Verwendbarkeit des Moduls |
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Zuständige Personen |
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Prerequisites | |
Skills to be acquired in this module | + Neurosci. knowlg. Upon successful completion of this course, students
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Module contents | In each of the seven weeks, one or two specific topics are introduced in the lecture, practiced in the exercises and applied to electrophysiological data in a programming task: Matlab basics: Matlab windows, work space, vectors & matrices, saving & loading, graphics, scripts, functions
With completing the seven tasks, each participant develops a toolbox of the most common analysis methods for electrophysiological (spike and continuous) data. In addition to writing and commenting code, the programs are applied to experimental data. The tasks include questions about the interpretation of these analysis results. Hence, the goal of this module is two-fold: Learning the programming language Matlab and analysis methods for electrophysiological data. |
Literaturempfehlungen | Pascal Wallisch: MATLAB for Neuroscientists, Elsevier, Oxford |
Links | |
Language of instruction | English |
Duration (semesters) | 1 Semester |
Module frequency | annually, winter term |
Module capacity | 24 |
Type of module | Wahlpflicht / Elective |
Module level | MM (Mastermodul / Master module) |
Previous knowledge | basic knowledge of math and statistics |
Lehrveranstaltungsform | Comment | SWS | Frequency | Workload of compulsory attendance |
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Lecture | 1 | 14 | ||
Exercises | 2 | 28 | ||
Seminar | 1 | 14 | ||
Präsenzzeit Modul insgesamt | 56 h |
Examination | Prüfungszeiten | Type of examination |
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Final exam of module | during the course |
practical exercise - hand in code and interpretation each week |