Functional MR time-series analysis
The purpose of this research was to investigate the time-series obtained in functional Magnetic Resonance Imaging (fMRI) experiments in order to accurately detect the brain activation and infer the hemodynamic and neuronal activities involved.
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| Format: | Research Report |
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2008
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| Online Access: | http://hdl.handle.net/10356/2295 |
| _version_ | 1824455598551334912 |
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| author | Jagath Chandana Rajapakse |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Jagath Chandana Rajapakse |
| author_sort | Jagath Chandana Rajapakse |
| collection | NTU |
| description | The purpose of this research was to investigate the time-series obtained in functional Magnetic Resonance Imaging (fMRI) experiments in order to accurately detect the brain activation and infer the hemodynamic and neuronal activities involved. |
| first_indexed | 2025-02-19T03:40:45Z |
| format | Research Report |
| id | ntu-10356/2295 |
| institution | Nanyang Technological University |
| last_indexed | 2025-02-19T03:40:45Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/22952023-03-03T20:22:27Z Functional MR time-series analysis Jagath Chandana Rajapakse School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence The purpose of this research was to investigate the time-series obtained in functional Magnetic Resonance Imaging (fMRI) experiments in order to accurately detect the brain activation and infer the hemodynamic and neuronal activities involved. RG 45/98 2008-09-17T08:04:44Z 2008-09-17T08:04:44Z 2002 2002 Research Report http://hdl.handle.net/10356/2295 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Jagath Chandana Rajapakse Functional MR time-series analysis |
| title | Functional MR time-series analysis |
| title_full | Functional MR time-series analysis |
| title_fullStr | Functional MR time-series analysis |
| title_full_unstemmed | Functional MR time-series analysis |
| title_short | Functional MR time-series analysis |
| title_sort | functional mr time series analysis |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | http://hdl.handle.net/10356/2295 |
| work_keys_str_mv | AT jagathchandanarajapakse functionalmrtimeseriesanalysis |