The measurement of eye movements has proven to be a powerful tool for the study of the components of complex visuo-motor behaviors. As described above, we have developed a computational theory to describe aspects of the task, including visual search and saccade targetting. At this point the evidence suggests that parietal cortex is involved in selection of targets in goal-directed behavior such a saccade targetting, so we were anxious to get evidence of the neural basis of the proposed computational structures. Consequently we are examining the behavior of patients with localized parietal lesions on our block-copying task. Tests done by Merigan and Shimosaki show that patients who pass standard neuropsychological tests may show up as very abnormal on our eye-movement tasks. Although the task can be performed by the subject, eye movement monitoring reveals unusual eye movement patterns which we speculate might reflect difficulties in saccade targeting. We also extended the testing of patients with parietal lobe lesions to a spatial memory task developed within the resource by post-doctoral stu-dent Greg Zelinski. Patients with parietal lobe lesions appear unable to use the spatial location information that is provided immediately prior to the search task. Control experiments indicate that this inability is not due to any deficits in object recognition, general memory, or the ability to locate named objects. Rather, it appears to be a defect specific to the processing of visual-spatial information.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR009283-05
Application #
6122965
Study Section
Project Start
1998-09-23
Project End
1999-07-31
Budget Start
1997-10-01
Budget End
1998-09-30
Support Year
5
Fiscal Year
1998
Total Cost
Indirect Cost
Name
University of Rochester
Department
Type
DUNS #
208469486
City
Rochester
State
NY
Country
United States
Zip Code
14627
Rothkopf, Constantin A; Ballard, Dana H (2013) Modular inverse reinforcement learning for visuomotor behavior. Biol Cybern 107:477-90
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Rothkopf, Constantin A; Ballard, Dana H (2009) Image statistics at the point of gaze during human navigation. Vis Neurosci 26:81-92
Jovancevic-Misic, Jelena; Hayhoe, Mary (2009) Adaptive gaze control in natural environments. J Neurosci 29:6234-8
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Droll, Jason A; Hayhoe, Mary M; Triesch, Jochen et al. (2005) Task demands control acquisition and storage of visual information. J Exp Psychol Hum Percept Perform 31:1416-38
Bayliss, Jessica D; Inverso, Samuel A; Tentler, Aleksey (2004) Changing the P300 brain computer interface. Cyberpsychol Behav 7:694-704

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