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An Elementary Neuro-Morphic Circuit for Visual Motion Detection with Single-Electron Devices Based on Correlation Neural Networks

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This paper proposes a bio-inspired single-electron circuit for detecting motion in projected images. Motion detection is a primary task performed in the retina as part of early vision processing. Based on motion detection models: the correlation model and spatiotemporal gradient model, a number of motion detecting circuits have been proposed and implemented with CMOS mediums. In this paper, based on the correlation model, we propose a possible single-electron circuit configuration that can detect motion in incident images, and demonstrate its basic performance with a one-dimensional construction. Through Monte-Carlo based computer simulations, we confirmed that this construction can compute motion in projected images.
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Keywords: BEYOND CMOS ARCHITECTURES; BIO-INSPIRED CIRCUITS; NEUROMOPHIC CIRCUITS; SINGLE-ELECTRON

Document Type: Research Article

Publication date: 01 January 2009

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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