Abstract
Both biological and computer vision systems have to process in real time a vast amount of data. Mechanisms of automatic gain control, realized in biological systems by multilevel feedback loops, coupled with selective channeling of data, reorganize and reduce the dimensionality of signals as they flow along the retinotopic pathway. These principles of organization are applied to VLSI-based highly parallel neural computer architecture.
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Zeevi, Y.Y., Ginosar, R. (1989). Neural Computers in Vision: Processing of High Dimensional Data. In: Eckmiller, R., v.d. Malsburg, C. (eds) Neural Computers. Springer Study Edition, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83740-1_19
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DOI: https://doi.org/10.1007/978-3-642-83740-1_19
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