PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Signal Extraction for Brain-Computer Interface
David Hardoon and John Shawe-Taylor
In: 17th Neural Information Processing Systems Workshop on 'Machine Learning Meets the User Interface', Vancouver, Canada(2003).

Abstract

Understanding the functional processes of the brain is still a new and difficult task. Functional Magnetic Resonance Imaging (fMRI) is a relatively new tool with the purpose of mapping the sensor, motor and cognitive tasks to specific regions in the brain. The underlying mechanics of this technique is in the regulation of the blood flow as an excess of oxygen is supplied to active neurones causing an increase in oxygenated blood surrounding the tissue of the active brain region. The difference between oxygenation can be measured using a MR scanner due to the different magnetic properties of oxygenated and deoxygenated blood. This effect is referred to as the Blood Oxygenation Level Dependent signal (BOLD).

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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:1042
Deposited By:David Hardoon
Deposited On:08 August 2005