Data Collection Techniques in the Neurosciences
Full course description
Neuroscience uses a range of techniques to make inferences about the workings of the brain and its relationship to perception, behaviour, health and disease. This skill course will introduce the fundamentals of experimental design, data collection, analysis and interpretation, covering methods for measuring behaviour, perception and electrophysiology (the electrical activity of the brain). To make the knowledge concrete, students will perform experiments and data analysis, and write a report comparing methods used to measure perceptual sensitivity. In addition, to build a wider appreciation of field, students will read and present a journal article.
Computer programming is an essential skill for modern neuroscience, used to run experiments and perform data analysis. This skill forms a large portion of the course, you will learn the basic functionality of MATLAB and the Fieldtrip toolbox. No previous programming experience is expected.
Students must have with them a USB stick with at least 4GB free space (windows formatted) and wired headphones.
This skill has the aim of familiarizing students with basic techniques for data collection and analysis in neuroscience for behavioural and electrophysiology data.
- Students must have with them a USB stick with at least 4GB free space (windows formatted) and wired headphones.
- Hand-outs and relevant literature will be provided by coordinator.