摘要:
An optical apparatus for simulating a highly interconnected neural network is disclosed as including a spatial light modulator (SLM), an inputting device, a laser, a detecting device, and a page-oriented hologaphic component. The inputting device applies input signals to the SLM. The holographic component optically interconnects N.sup.2 pixels defined on the spatial light modulator to N.sup.2 pixels defined on a detecting surface of the detecting device. The interconnections are made by N.sup.2 patterns of up to N.sup.2 interconnection weight encoded beams projected by N.sup.2 planar, or essentially two-dimensional, holograms arranged in a spatially localized array within the holographic component. The SLM modulates the encoded beams and directs them onto the detecting surface wherein a parameter of the beams is evaluated at each pixel thereof. The evaluated parameter is transformed according to a nonlinear threshold function to provide transformed signals which can be fed back to the SLM for further iterations.
摘要:
An optical apparatus for simulating a highly interconnected neural network is disclosed as including a spatial light modulator (SLM), an inputting device, a laser, a detecting device, and a page-oriented holographic component. The inputting device applies input signals to the SLM. The holographic component optically interconnects N.sup.2 pixels defined on the spatial light modulator to N.sup.2 pixels defined on a detecting surface of the detecting device. The interconnections are made by N.sup.2 patterns of up to N.sup.2 interconnection weight encoded beams projected by N.sup.2 planar, or essentially two-dimensional, holograms arranged in a spatially localized array within the holographic component. The SLM modulates the encoded beams and directs them onto the detecting surface wherein a parameter of the beams is evaluated at each pixel thereof. The evaluated parameter is transformed according to a nonlinear threshold function to provide transformed signals which can be fed back to the SLM for further iterations.