Visual cortex in the macaque monkey occupies more than half of the cerebral hemisphere and is subdivided into may distinct visual areas--more than two dozen by the latest reckoning.
This aims of the proposed research are to characterize the function, connections, and internal organization of a number of extrastriate visual areas in the occipital, parietal, and temporal lobes. This approach is relevant to our understanding of human visual cortex and may ultimately be beneficial for the diagnosis and treatment of strokes, epilepsy, and other cerebral disorders. One project will be to study the modular organization of visual area V2, an area that contains a repeating array of stripe-like compartments. Anatomical techniques will be used to determine how different compartments are connected with each of seven visual areas to which V2 is know to project. Physiological recordings will be used to ascertain the receptive field properties of cells belonging to clusters projecting to different target areas. These experiments should add to our understanding of the strategies used for parallel information processing in the visual pathway. A second project will be to characterize relatively unexplored visual areas in the temporal and parietal lobes. Anatomical pathway-tracing procedures will be used to determine the inputs and outputs of areas PIP, VIP, and LIP in the intraparietal sulcus and areas MST and FST in the superior temporal sulcus. The results should reveal whether higher levels of the visual pathway are organized in hierarchical fashion, as has been inferred for lower levels on the basis of anatomical connectivity patterns. A third project will be to determine how the geometry of visible surfaces is analyzed and represented within visual cortex. Using a video graphics system, simulations of surfaces in 3-dimensional space will be presented while monitoring the responses of single neurons in areas V4 and MT. The hypothesis to be tested is that the activity of individual neurons may be systematically modulated by changes in surface slant and tilt. If so, this would suggest that information about surface orientation is made explicit in extrastriate cortex, much as information about the orientation of 2-dimensional contours is made explicit in primary visual cortex. These experiments should help to reveal how information from a pair of 2-dimensional retinal images is transformed into our perceptions of a 3-dimensional world.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY002091-15
Application #
3256502
Study Section
Visual Sciences B Study Section (VISB)
Project Start
1977-08-03
Project End
1992-08-31
Budget Start
1991-08-01
Budget End
1992-08-31
Support Year
15
Fiscal Year
1991
Total Cost
Indirect Cost
Name
California Institute of Technology
Department
Type
Schools of Arts and Sciences
DUNS #
078731668
City
Pasadena
State
CA
Country
United States
Zip Code
91125
Anzai, Akiyuki; Peng, Xinmiao; Van Essen, David C (2007) Neurons in monkey visual area V2 encode combinations of orientations. Nat Neurosci 10:1313-21
Hegde, Jay; Van Essen, David C (2007) A comparative study of shape representation in macaque visual areas v2 and v4. Cereb Cortex 17:1100-16
Hegde, Jay; Van Essen, David C (2006) Temporal dynamics of 2D and 3D shape representation in macaque visual area V4. Vis Neurosci 23:749-63
Van Essen, David C (2005) Corticocortical and thalamocortical information flow in the primate visual system. Prog Brain Res 149:173-85
Hegde, Jay; Van Essen, David C (2005) Stimulus dependence of disparity coding in primate visual area V4. J Neurophysiol 93:620-6
Hegde, Jay; Van Essen, David C (2004) Temporal dynamics of shape analysis in macaque visual area V2. J Neurophysiol 92:3030-42
Hegde, Jay; Van Essen, David C (2003) Strategies of shape representation in macaque visual area V2. Vis Neurosci 20:313-28
Marcus, Daniel S; Van Essen, David C (2002) Scene segmentation and attention in primate cortical areas V1 and V2. J Neurophysiol 88:2648-58
Van Essen, D C; Drury, H A; Dickson, J et al. (2001) An integrated software suite for surface-based analyses of cerebral cortex. J Am Med Inform Assoc 8:443-59
Van Essen, D C; Lewis, J W; Drury, H A et al. (2001) Mapping visual cortex in monkeys and humans using surface-based atlases. Vision Res 41:1359-78

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