THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2015/2016

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Informatics : Informatics

Postgraduate Course: Computational Neuroscience of Vision (INFR11037)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Year 4 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis course focuses on understanding the computational mechanisms underlying animal visual systems that are similar to those of humans. The main emphasis is on how the properties of neurons across the two-dimensional surface of the visual cortex are organised topographically to represent and transform the relevant features of visual stimuli. Because the visual cortex is the primary model system for understanding the cortex in general, the course also acts as an introduction to computational processing in all topographically organised cortical regions.
Course description *Biological Background
Role of computational models in biology, relation of biological models to computer vision, early visual processing, primary visual cortex, face and object processing, visual system development

*Computational Modeling Levels and Approaches
Unit models, topographic map models

*Models of the Development of Feature Maps in V1
E.g. separate and combined maps for topography, orientation, ocular dominance, motion direction, colour, and spatial frequency

*Modeling Adult Processing in V1
E.g. orientation and motion direction estimation, visual aftereffects, plasticity, contour segmentation and grouping

*Higher-level Processing
E.g. modeling face detection and recognition, object detection and recognition, invariant responses (viewpoint, size, translation)

Relevant QAA Computing Curriculum Sections: Simulation and Modeling, Artificial Intelligence, Computer Vision and Image Processing
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements This course is open to all Informatics students including those on joint degrees. For external students where this course is not listed in your DPT, please seek special permission from the course organiser.

It is expected that students will have a general background in computer science, including some programming experience, and will be comfortable with basic mathematics. Compared to Probabilistic Modelling and Reasoning, and Neural Computation, this course is not as heavily mathematical, focusing more on biological concepts and computational implementation using existing primitives. Biological and/or neuroscience background would be very helpful but is not required. Computational Cognitive Neuroscience, Neural Information Processing, and Neural Computation are worthwhile companion or prior courses.
Information for Visiting Students
Pre-requisitesNone
High Demand Course? Yes
Course Delivery Information
Not being delivered
Learning Outcomes
1 - Describe the roles of computational models in biology and informatics
2 - Summarise the basic architecture, development, and known computational functions of early visual areas in humans and monkeys
3 - Search the neuroscientific literature for relevant experimental data
4 - Describe and evaluate different types of computational models
5 - Implement simple models of feature map development and function
6 - Analyse the results of models to make predictions for future experiments
Reading List
* Miikkulainen, Bednar, Choe, and Sirosh, Computational Maps in Visual Cortex (Springer, 2005), ISBN 0-387-22024-0.
* Other notes as distributed in class.
Additional Information
Course URL http://course.inf.ed.ac.uk/cnv
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr Jim Bednar
Tel: (0131 6)51 3092
Email: James.Bednar@ed.ac.uk
Course secretaryMs Sarah Larios
Tel: (0131 6)51 4164
Email: sarah.larios@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information
 
© Copyright 2015 The University of Edinburgh - 18 January 2016 4:13 am