Postgraduate Course: Computational Cognitive Neuroscience (INFR11036)
Course Outline
School |
School of Informatics |
College |
College of Science and Engineering |
Course type |
Standard |
Availability |
Available to all students |
Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
Home subject area |
Informatics |
Other subject area |
None |
Course website |
http://www.inf.ed.ac.uk/teaching/courses/ccn |
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Course description |
In this course we study computational approaches to understanding cognitive processes, using massively parallel networks. We study biologically-inspired learning rules for connectionist networks, and their application in connectionist models of perception, memory and language. |
Entry Requirements
Pre-requisites |
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Co-requisites |
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Prohibited Combinations |
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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. No background in Neuroscience or cognitive science is required.
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Additional Costs |
None |
Course Delivery Information
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Delivery period: 2010/11 Semester 2, Available to all students (SV1)
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WebCT enabled: No |
Quota: None |
Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
Central | Lecture | | 1-11 | 11:10 - 12:00 | | | | | Central | Lecture | | 1-11 | | | | 11:10 - 12:00 | |
First Class |
Week 1, Monday, 11:10 - 12:00, Zone: Central. Room 7.01, David Hume Tower |
Summary of Intended Learning Outcomes
1 - Describe a cognitive architecture of the brain.
2 - Contrast the applicability of several connectionist learning rules.
3 - Understand the limitation of current connectionist models.
4 - Design a simple computational model of a cognitive process and relate it to the literature and understand the underlyng assumptions.
5 - Write a simple memory model in PDP++
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Assessment Information
Written Examination 0
Assessed Assignments 100
Oral Presentations 0
Assessment
The course is assessed by four assignments and a report.
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. |
Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
Not entered |
Contacts
Course organiser |
Dr Michael Rovatsos
Tel: (0131 6)51 3263
Email: mrovatso@inf.ed.ac.uk |
Course secretary |
Miss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk |
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copyright 2010 The University of Edinburgh -
1 September 2010 6:11 am
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