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Unit information: Computational Neuroscience in 2014/15

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. Bogacz
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 including Unit Aims

This unit has three versions, COMS30127 at BSc level, COMSM2127 at MEng/MSc level, and COMS35103 for students outside the Engineering faculty. They share lectures, but may have different assessments. 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.

Teaching Information

20 hours of lectures, 10 hours of laboratory sessions

Assessment Information

coursework (20%), exam (80%)

All students need to do two courseworks in Matlab which address the 4th learning outcome (Be able to simulate simple models of neurons, networks, and cortical areas in Matlab).

Due to initial differences in background of students attending the unit, the first coursework differs between the students from the Faculty of Engineering and School of Experimental Psychology. In particular, the students from Faculty of Engineering have to simulate activity of two mutually connected neurons, while the students from the School of Experimental Psychology (who learn Matlab as a part of the unit) have to program a psychological experiment of their choice in Matlab. The second coursework is the same for all students and involves simulating neuronal activity during decision making.

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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