High-performance execution of psychophysical tasks with complex visual stimuli in MATLAB
Behavioral, psychological, and physiological experiments often require the ability to present sensory stimuli, monitor and record subjects' responses, interface with a wide range of devices, and precisely control the timing of events within a behavioral task. Here, we describe our recent progre...
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Published in | Journal of neurophysiology Vol. 109; no. 1; pp. 249 - 260 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Physiological Society
01.01.2013
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Abstract | Behavioral, psychological, and physiological experiments often require the ability to present sensory stimuli, monitor and record subjects' responses, interface with a wide range of devices, and precisely control the timing of events within a behavioral task. Here, we describe our recent progress developing an accessible and full-featured software system for controlling such studies using the MATLAB environment. Compared with earlier reports on this software, key new features have been implemented to allow the presentation of more complex visual stimuli, increase temporal precision, and enhance user interaction. These features greatly improve the performance of the system and broaden its applicability to a wider range of possible experiments. This report describes these new features and improvements, current limitations, and quantifies the performance of the system in a real-world experimental setting. |
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AbstractList | Behavioral, psychological, and physiological experiments often require the ability to present sensory stimuli, monitor and record subjects' responses, interface with a wide range of devices, and precisely control the timing of events within a behavioral task. Here, we describe our recent progress developing an accessible and full-featured software system for controlling such studies using the MATLAB environment. Compared with earlier reports on this software, key new features have been implemented to allow the presentation of more complex visual stimuli, increase temporal precision, and enhance user interaction. These features greatly improve the performance of the system and broaden its applicability to a wider range of possible experiments. This report describes these new features and improvements, current limitations, and quantifies the performance of the system in a real-world experimental setting. Behavioral, psychological, and physiological experiments often require the ability to present sensory stimuli, monitor and record subjects' responses, interface with a wide range of devices, and precisely control the timing of events within a behavioral task. Here, we describe our recent progress developing an accessible and full-featured software system for controlling such studies using the MATLAB environment. Compared with earlier reports on this software, key new features have been implemented to allow the presentation of more complex visual stimuli, increase temporal precision, and enhance user interaction. These features greatly improve the performance of the system and broaden its applicability to a wider range of possible experiments. This report describes these new features and improvements, current limitations, and quantifies the performance of the system in a real-world experimental setting.Behavioral, psychological, and physiological experiments often require the ability to present sensory stimuli, monitor and record subjects' responses, interface with a wide range of devices, and precisely control the timing of events within a behavioral task. Here, we describe our recent progress developing an accessible and full-featured software system for controlling such studies using the MATLAB environment. Compared with earlier reports on this software, key new features have been implemented to allow the presentation of more complex visual stimuli, increase temporal precision, and enhance user interaction. These features greatly improve the performance of the system and broaden its applicability to a wider range of possible experiments. This report describes these new features and improvements, current limitations, and quantifies the performance of the system in a real-world experimental setting. |
Author | Asaad, Wael F. McClellan, Steven Freedman, David J. Santhanam, Navaneethan |
Author_xml | – sequence: 1 givenname: Wael F. surname: Asaad fullname: Asaad, Wael F. organization: Brown Institute for Brain Science, Norman Prince Neurosciences Institute and the Department of Neurosurgery, Alpert Medical School, Brown University and Rhode Island Hospital, Providence, Rhode Island – sequence: 2 givenname: Navaneethan surname: Santhanam fullname: Santhanam, Navaneethan organization: Department of Neurobiology, The University of Chicago, Chicago, Illinois; and – sequence: 3 givenname: Steven surname: McClellan fullname: McClellan, Steven organization: Department of Neurobiology, The University of Chicago, Chicago, Illinois; and – sequence: 4 givenname: David J. surname: Freedman fullname: Freedman, David J. organization: Department of Neurobiology, The University of Chicago, Chicago, Illinois; and |
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Cites_doi | 10.1016/j.jneumeth.2008.06.003 10.1016/j.jneumeth.2008.07.014 10.1163/156856897X00357 10.1016/j.jneumeth.2008.08.006 10.1163/156856897X00366 |
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SubjectTerms | Animals Eye Movements - physiology Innovative Methodology Macaca mulatta Photic Stimulation - methods Signal Processing, Computer-Assisted Software User-Computer Interface |
Title | High-performance execution of psychophysical tasks with complex visual stimuli in MATLAB |
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