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Description
The module will cover modern methods in quantitative neurophysiology and how experimental data is turned into conclusions about brain function in contemporary research. The module will consist of lectures covering the theoretical and mathematical basis of modern data analysis and these will be accompanied by Matlab and Python code and example data files that allow the students to practice what was taught in the lectures. There will be a large practical component in the Module. The students will work through weekly worksheets in which they use the lecture content to analyse and visualise example data sets. In weekly 2h workshops that accompany the lectures the students can then discuss how they worked through the worksheet examples and get feedback on their work. The module will also teach and practice coding in Python.
The main focus of this module is to give you theoretical and practical experience in how to conduct research in systems neuroscience. The data analysis methods are state of the art and provide a foundation for future work (PhD in this topic, or industrial settings where such research is performed e.g. pharmaceutical industry).
After taking this module you will be able to:
- critically assess the quality and validity of data in neuroscience.
- select the appropriate analysis methods depending on the data structure and the research questions addressed.
- critically assess scientific publications in the field by evaluating the methods used and results provided and appraising the discussion of the results given in the publications.
The module is available to Year 3 and 4 undergraduate students with a strong background in Neuroscience who meet the pre-requisites in maths/statistics.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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