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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2012/2013
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DRPS : Course Catalogue : School of Informatics : Informatics

Postgraduate Course: Neural Computation (INFR11008)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits10
Home subject areaInformatics Other subject areaNone
Course website http://www.inf.ed.ac.uk/teaching/courses/nc Taught in Gaelic?No
Course descriptionThis module aims to examine:

How the brain computes and processes information from the outside world.

How the brain wires up and how it stores information.

We will study the brain at a fairly low level, so that we can make contact with neurophysiological data. We will show the necessary biological data and how it can be described in mathematical terms. We will present modelling methods applicable to various levels of organisation of the nervous system (e.g. single cells, networks of cells). We discuss models of particular brain subsystems.

In the practical session we use Matlab and NEURON to simulate the models (No familiarity with NEURON required, some self study of Matlab is beneficial.)
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements For Informatics PG and final year MInf students only, or by special permission of the School. Experience in programming or simulation systems desirable. Fair amount of mathematics (first order differential equations, eigenvectors, descriptive statistics). No background in Neuroscience is necessary.
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Delivery period: 2012/13 Semester 1, Available to all students (SV1) Learn enabled:  No Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
CentralLecture1-11 12:10 - 13:00
CentralLecture1-11 12:10 - 13:00
First Class Week 1, Tuesday, 12:10 - 13:00, Zone: Central. LT4 7 Bristo Square
No Exam Information
Delivery period: 2012/13 Semester 1, Part-year visiting students only (VV1) Learn enabled:  No Quota:  0
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
No Classes have been defined for this Course
First Class Week 1, Tuesday, 12:10 - 13:00, Zone: Central. LT4 7 Bristo Square
No Exam Information
Summary of Intended Learning Outcomes
1 - Demonstrate a basic knowledge of neuroscience and neural computation.
2 - Abstract neuroscience experimental data to a model and should be able to critically evaluate these models.
3 - Understand the major limitations in verifying the model experimentally.
Assessment Information
Written Examination 0
Assessed Assignments 100
Oral Presentations 0

Assessment
There will be two assessed assignments.

If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year.
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus *Introduction and overview of the brain
*The neuron
*Biophysical and reduced models of neurons
*Synapses
*Computation and coding in the brain
*Networks of neurons
*Early and higher visual processing
*Network-level modelling
*Plasticity and learning

Relevant QAA Computing Curriculum Sections: Simulation and Modelling, Artificial intelligence
Transferable skills Not entered
Reading list * Supplementary reading list below (Detailed lecture notes are provided)
* Shepherd, G. M. (1994). Neurobiology. Oxford University Press, New York, third edition.
* Abbott and Dayan (2001) Theoretical Neuroscience . MIT press (recommended)
* Koch, C. and Segev, I., editors (1998). Methods in Neuronal Modelling: From Ions to Networks. MIT Press, Cambridge, Massachusetts, second edition.
* Churchland, P. S. and Sejnowski, T. J. (1992). The Computational Brain. MIT Press, Cambridge, Massachusetts.
Study Abroad Not entered
Study Pattern Lectures 20
Tutorials 0
Timetabled Laboratories 0
Non-timetabled assessed assignments 40
Private Study/Other 40
Total 100
KeywordsNot entered
Contacts
Course organiserDr Iain Murray
Tel: (0131 6)51 9078
Email: I.Murray@ed.ac.uk
Course secretaryMiss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk
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