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Home : College of Science and Engineering : School of Informatics (Schedule O) : Cognitive Science

Computational Cognitive Neuroscience (P01490)

? Credit Points : 10  ? SCQF Level : 11  ? Acronym : INF-P-CCN

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 : Experience in programming or simulation systems desirable. No background in Neuroscience or cognitive science is required.

Subject Areas

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

First Class Information

Date Start End Room Area Additional Information
10/01/2006 12:00 13:00 Forrest Hill, Room A9/11

All of the following classes

Type Day Start End Area
Lecture Tuesday 12:10 13:00 Central
Lecture Friday 12:10 13:00 Central

Summary of Intended Learning Outcomes

After the course students should be able to:

- Describe a cognitive architecture of the brain.
- Contrast the applicability of several connectionist learning rules.
- Understand the limitation of current connectionist models.
- Design a simple computational model of a cognitive process and relate it to the literature and understand the underlyng assumptions.
- Write a simple memory model in PDP++

Assessment Information

Assessed Assignments 100%

Contact and Further Information

The Course Secretary should be the first point of contact for all enquiries.

Course Secretary

Mr Neil McGillivray
Tel : (0131 6)50 2701
Email : Neil.McGillivray@ed.ac.uk

Course Organiser

Dr Nigel Hugh Goddard
Tel : (0131 6)50 3087
Email : Nigel.Goddard@ed.ac.uk

Course Website : http://www.inf.ed.ac.uk/teaching/courses/

School Website : http://www.informatics.ed.ac.uk/

College Website : http://www.scieng.ed.ac.uk/

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