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Volume 17, Number 23, Issue of December 1, 1997 pp. 9270-9284

Spatial Relationships among Three Columnar Systems in Cat Area 17

Received Aug. 14, 1997; revised Sept. 22, 1997; accepted Sept. 23, 1997.

Mark Hübener1, Doron Shoham2, Amiram Grinvald2, and Tobias Bonhoeffer1

1 Max-Planck-Institut für Psychiatrie, 82152 Martinsried, Germany, and 2 The Weizmann Institute of Science, Rehovot 76100, Israel

In the primary visual cortex, neurons with similar response properties are arranged in columns. As more and more columnar systems are discovered it becomes increasingly important to establish the rules that govern the geometric relationships between different columns. As a first step to examine this issue we investigated the spatial relationships between the orientation, ocular dominance, and spatial frequency domains in cat area 17. Using optical imaging of intrinsic signals we obtained high resolution maps for each of these stimulus features from the same cortical regions. We found clear relationships between orientation and ocular dominance columns: many iso-orientation lines intersected the borders between ocular dominance borders at right angles, and orientation singularities were concentrated in the center regions of the ocular dominance columns. Similar, albeit weaker geometric relationships were observed between the orientation and spatial frequency domains. The ocular dominance and spatial frequency maps were also found to be spatially related: there was a tendency for the low spatial frequency domains to avoid the border regions of the ocular dominance columns. This specific arrangement of the different columnar systems might ensure that all possible combinations of stimulus features are represented at least once in any given region of the visual cortex, thus avoiding the occurrence of functional blind spots for a particular stimulus attribute in the visual field.

Key words: cat; area 17; visual cortex; functional architecture; map; columns; orientation preference; ocular dominance; spatial frequency; optical imaging




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