9.71 Functional MRI of High-Level Vision, Fall 2004
Covers the basics of fMRI, the strengths and limitations of fMRI compared to other techniques, and the design and analysis of fMRI experiments, focusing primarily on experiments on high-level vision. Upon completion, students should be able to understand and critique published fMRI papers, have a go...
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| Format: | Learning Object |
| Language: | en-US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/49533 |
| _version_ | 1826206488722407424 |
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| author | Kanwisher, Nancy |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Kanwisher, Nancy |
| author_sort | Kanwisher, Nancy |
| collection | MIT |
| description | Covers the basics of fMRI, the strengths and limitations of fMRI compared to other techniques, and the design and analysis of fMRI experiments, focusing primarily on experiments on high-level vision. Upon completion, students should be able to understand and critique published fMRI papers, have a good grasp on what is known about high-level vision from fMRI, and design their own fMRI experiments. From the course home page: Course Description Fundamental questions about the human brain can now be answered using straightforward applications of fMRI. This is particularly true in the area of high-level vision, the study of how we interpret and use visual information (including object recognition, visual attention, perceptual awareness, visually guided action, visual memory, and other topics). Students will read, present to the class, and critique current neuroimaging articles, as well as write detailed proposals for experiments of their own. This course covers the basics of fMRI, the strengths and limitations of fMRI compared to other techniques, and the design and analysis of fMRI experiments, focusing primarily on experiments on high-level vision. Upon completion, students should be able to understand and critique published fMRI papers, have a good grasp on what is known about high-level vision from fMRI, and design their own fMRI experiments. |
| first_indexed | 2024-09-23T13:33:18Z |
| format | Learning Object |
| id | mit-1721.1/49533 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2025-03-10T11:30:24Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/495332025-02-26T19:08:13Z 9.71 Functional MRI of High-Level Vision, Fall 2004 Functional MRI of High-Level Vision Kanwisher, Nancy Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences functional magnetic resonance imaging (fMRI) neural activity human brain noninvasive resolution high-level vision object recognition visual attention perceptual awareness visually guided action visual memory Covers the basics of fMRI, the strengths and limitations of fMRI compared to other techniques, and the design and analysis of fMRI experiments, focusing primarily on experiments on high-level vision. Upon completion, students should be able to understand and critique published fMRI papers, have a good grasp on what is known about high-level vision from fMRI, and design their own fMRI experiments. From the course home page: Course Description Fundamental questions about the human brain can now be answered using straightforward applications of fMRI. This is particularly true in the area of high-level vision, the study of how we interpret and use visual information (including object recognition, visual attention, perceptual awareness, visually guided action, visual memory, and other topics). Students will read, present to the class, and critique current neuroimaging articles, as well as write detailed proposals for experiments of their own. This course covers the basics of fMRI, the strengths and limitations of fMRI compared to other techniques, and the design and analysis of fMRI experiments, focusing primarily on experiments on high-level vision. Upon completion, students should be able to understand and critique published fMRI papers, have a good grasp on what is known about high-level vision from fMRI, and design their own fMRI experiments. 2004-12 Learning Object 9.71-Fall2004 local: 9.71 local: IMSCP-MD5-664f08e01e268bfa7eeadc389e60b5ec http://hdl.handle.net/1721.1/49533 en-US Usage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. text/html Fall 2004 |
| spellingShingle | functional magnetic resonance imaging (fMRI) neural activity human brain noninvasive resolution high-level vision object recognition visual attention perceptual awareness visually guided action visual memory Kanwisher, Nancy 9.71 Functional MRI of High-Level Vision, Fall 2004 |
| title | 9.71 Functional MRI of High-Level Vision, Fall 2004 |
| title_full | 9.71 Functional MRI of High-Level Vision, Fall 2004 |
| title_fullStr | 9.71 Functional MRI of High-Level Vision, Fall 2004 |
| title_full_unstemmed | 9.71 Functional MRI of High-Level Vision, Fall 2004 |
| title_short | 9.71 Functional MRI of High-Level Vision, Fall 2004 |
| title_sort | 9 71 functional mri of high level vision fall 2004 |
| topic | functional magnetic resonance imaging (fMRI) neural activity human brain noninvasive resolution high-level vision object recognition visual attention perceptual awareness visually guided action visual memory |
| url | http://hdl.handle.net/1721.1/49533 |
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