Computing With Neural Maps: Application to Perceptual and Cognitive Functions
Annual rept. 1 Sep 89-30 Aug 90,
NEW YORK UNIV MEDICAL CENTER NY DEPT OF PSYCHIATRY
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During the past year these investigators 1 Illustrated application of computer science to neuroscience at three levels measuring, modeling, and understanding the computational function of the columnar pattern of ocular dominance in primate visual cortex 2 Demonstrated an algorithm for modeling polymap architectures of the cerebral neocortex, where the term polymap emphasizes the joint occurrence of topographic mapping of multiple sub- modalities, interlaced in the form of macroscopic patches columns into a single cortical lamina 3 Considered a space-variant sensor design based on the conformal mapping of the halp disk, wlog za, a 0, which characterizes the anatomical structure of the primate and human visual systems. 4 Showed that the best algorithm for fusing multiple space-variant fixations of the same scene show, under certain assumptions of pixel distribution, is indeed optimal in a least-squared-error sense 5 Analyzed the characteristics of a synthetic sensor comparable, with respect to field width and resolution, to the primate visual system 6 Showed a quantitative measurement of the macaque ocular dominance column pattern, based on measurement of local power spectral densities of a computer reconstruction and numerical flattening of VI.
- Computer Programming and Software