Our previous work has using the block-copying task demonstrated unexpected trade-offs between observer eye and head movements and the use of visual memory in ongoing tasks. Understanding the operation of visual memory is crucial in making the transition from an understanding of low level perceptual machinery to understanding of how perception mediates ongoing sensori-motor bahavior. Recently we developed a new paradigm for exploring simple sensori-motor behaviors, in which observers construct wooden models of objects. Initial results confirm the crucial role of fixation that we observed with the simpler copying task, indicating that these memory/eye movement tradeoffs are a ubiquitous feature of normal sensori-motor behavior. During the past year we studied the way tradeoffs between eye fixations and memory change in the context of familiar visual objects, and how complex tasks become automatised"""""""". A crucial component of behavioral flexibility is our ability to learn sub-components of complex tasks (automati-sation) in order to perform the task more efficiently with minimal high level control. Initial observations suggest that automatization is revealed in the fixation patterns to the model. As learning progresses, each fixation gives more visual information. This corresponds to the process of """"""""chunking,"""""""" or consolidation of referents. Although this process has long been hypothesised and is a crucial component of cognitive models, it has proven elusive to study with standard psychological techniques. These experiments now allow us to look at the development of the chunking process. This project dovetails with a major research project at the University of Bielefeld, Germany, that uses the same wooden construction pieces in the development of machine recognition systems for language and vision.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR009283-05
Application #
6122966
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
Fernandez, Roberto; Duffy, Charles J (2012) Early Alzheimer's disease blocks responses to accelerating self-movement. Neurobiol Aging 33:2551-60
Velarde, Carla; Perelstein, Elizabeth; Ressmann, Wendy et al. (2012) Independent deficits of visual word and motion processing in aging and early Alzheimer's disease. J Alzheimers Dis 31:613-21
Rothkopf, Constantin A; Ballard, Dana H (2010) Credit assignment in multiple goal embodied visuomotor behavior. Front Psychol 1:173
Huxlin, Krystel R; Martin, Tim; Kelly, Kristin et al. (2009) Perceptual relearning of complex visual motion after V1 damage in humans. J Neurosci 29:3981-91
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
Kavcic, Voyko; Ni, Hongyan; Zhu, Tong et al. (2008) White matter integrity linked to functional impairments in aging and early Alzheimer's disease. Alzheimers Dement 4:381-9
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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