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Unit information: Computational Neuroscience in 2016/17

Please note: you are viewing unit and programme information for a past academic year. Please see the current academic year for up to date information.

Unit name Computational Neuroscience
Unit code COMS30127
Credit points 10
Level of study H/6
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. Houghton
Open unit status Not open
Pre-requisites

Students from Psychology only have to take “Cognitive modelling in psychology”, PSYC 31039

Co-requisites

None

School/department Department of Computer Science
Faculty Faculty of Engineering

Description

This unit has three versions, COMS30127 at BSc level, COMSM2127 at MEng/MSc level, and COMS35103 for students outside the Engineering faculty.

Aims are to provide the student with an understanding of computational principles of biological computations performed in the brain by: single neurons, network of neurons, and interacting brain areas.

Intended learning outcomes

After successful completion of this unit, the student will

  • Be inspired by the computational principles of the brain in their future engineering work.
  • Be prepared to do research on the brain with understanding of brain s purpose (i.e., information processing).
  • For each levels of abstraction (single neuron, network of neurons, interacting brain areas): understand the assumptions made by the models, validity of the assumptions, and computational principles.
  • Be able to simulate simple models of neurons, networks, and cortical areas in Matlab or Python.

Teaching details

20 hours of lectures, 10 hours of laboratory sessions

Assessment Details

Coursework (20%), exam (80%)

All students need to do two courseworks in Matlab or Python which address the fourth learning outcome (Be able to simulate simple models of neurons, networks, and cortical areas in Matlab or Python).

Reading and References

Lecture notes. Background reading to include: Peter Dayan, Larry F Abbott Theoretical Neuroscience MIT-Press, 2001 ISBN: 0-262-04199-5 Price: £31.57 Recommended

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