| EPSRC Reference: |
EP/D001218/1 |
| Title: |
System Identification and Signal Processing for Neuro Imaging Data Analysis |
| Principal Investigator: |
Zheng, Professor Y |
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| Department: |
Automatic Control and Systems Eng |
| Organisation: |
University of Sheffield |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 May 2006 |
Ends: |
31 October 2009 |
Value (£): |
264,277
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Summary on Grant Application Form |
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Functional Magnetic Resonance Imaging [fMRI] provides observations of the Blood Oxygen Level Dependent [BOLD] signal. fMRI does not measure neural activity directly and hence a core problem is how to interpret the BOLD signal to make inferences about the neural activity and interactions. The main objective of this research proposal is to apply nonlinear signal processing and system identification methods to identify nonlinear mesh models associated with the core mechanisms between activation and flow from data collected across a wide range of stimulus conditions. This is a highly complex and multi-disciplinary project involving neuroscientists, psychologists, and control and systems engineers.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.shef.ac.uk |