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FPGA implementation of an excitatory and inhibitory connectionist model for motion perception

César Torres-Huitzil 1 Bernard Girau 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Based on neurophysiological studies of the visual cortex, the design and FPGA implementation of a bio-inspired hardware architecture for visual perception of motion is presented. The architecture is based on a neural model that mimics the way in which the visual stimuli is processed in the visual cortex pathways by means of spatio-temporal filtering and excitatory-inhibitory neural processing. This paper mostly develops the time-multiplexed and connection-parallelized implementation of the densely interconnected module that performs excitatory and inhibitory computation loops. The architecture modules have been modeled in VHDL and independently synthesized for an FPGA device. The obtained results show the plausibility of efficient implementation of bio-inspired models through embeddable specialized hardware architectures restricted to real-time constraints.
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Conference papers
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https://hal.inria.fr/inria-00000568
Contributor : Bernard Girau <>
Submitted on : Thursday, November 10, 2005 - 1:34:31 PM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

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  • HAL Id : inria-00000568, version 1

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César Torres-Huitzil, Bernard Girau. FPGA implementation of an excitatory and inhibitory connectionist model for motion perception. IEEE 2005 Conference on Field-Programmable Technology - FPT'05, Dec 2005, Singapore. ⟨inria-00000568⟩

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