Undergraduate Course: Introduction to Computational Neuroscience (INFR09037)
|School||School of Informatics
||College||College of Science and Engineering
||Availability||Available to all students
|Credit level (Normal year taken)||SCQF Level 9 (Year 3 Undergraduate)
|Home subject area||Informatics
||Other subject area||None
||Taught in Gaelic?||No
|Course description||Cognitive processes, language processing, and vision, are examples of human behaviour that are all ultimately implemented in neural hardware. The study of the biological implementation of these processes plays a crucial role in thinking about such processes as it both restricts and inspires models, and moreover serves as an alternative computational paradigm. This course introduces students to computational neuroscience, which studies how the brain computes based on the neural hardware.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| Successful completion of Year 2 of Cognitive Science degree, an Informatics Single or Combined Degree, or equivalent by permission of the School. The students are expected to have a decent grounding in mathematics and familiarity with linear algebra, first order differential equations, and basic probability theory.
|Additional Costs|| None
Information for Visiting Students
|Displayed in Visiting Students Prospectus?||No
Course Delivery Information
|Not being delivered|
Summary of Intended Learning Outcomes
|- Demonstrate a basic knowledge of neuroscience and neural computation.
- Abstract neuroscience experimental data to a model and should be able to critically evaluate these models.
- Understand the major limitations in verifying models experimentally.
|Written Examination 100|
Assessed Assignments 0
Oral Presentations 0
||- Gross brain anatomy and experimental techniques
- Basics of neurons: morphology, action potentials
- Synaptic communication
- Coding of information in the nervous system, for instance in the visual system
- Neural implementation of cognitive processes, like decision making
- Description of learning and memory in neural terms
- Considerations for modelling the nervous system
||-Abbott and Dayan (2001) Theoretical Neuroscience. MIT press (recommended)
- Trappenberg (2009) Fundamentals of Computational Neuroscience (recommended)
Timetabled Laboratories 0
Non-timetabled assessed assignments 0
Private Study/Other 70
|Course organiser||Dr Nigel Goddard
Tel: (0131 6)51 3091
|Course secretary||Miss Tamise Totterdell
Tel: 0131 650 9970