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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, w=log (z+a), 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.