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Biologically-inspired Digital Architecture for a Cortical Model of Orientation Selectivity

Abstract : This paper presents a biologically inspired modular hardware implementation of a cortical model of orientation selectivity of the visual stimuli in the primary visual cortex targeted to a Field Programmable Gate Array (FPGA) device. The architecture mimics the functionality and organization of neurons through spatial Gabor-like filtering and the so-called cortical hypercolumnar organization. A systolic array and a suitable image addressing scheme are used to partially overcome the von Neumann bottleneck of monolithic memory organization in conventional microprocessor-based system by processing small and local amounts of sensory information (image tiles) in an incremental way. A real-time FPGA implementation is presented for 8 different orientations and aspects such as flexibility, scalability, performance and precision are discussed to show the plausibility of implementing biologically-inspired processing for early visual perception in digital devices.
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Contributor : Bernard Girau <>
Submitted on : Thursday, November 6, 2008 - 6:38:41 PM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

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César Torres-Huitzil, Bernard Girau, Miguel Arias-Estrada. Biologically-inspired Digital Architecture for a Cortical Model of Orientation Selectivity. 18th International Conference on Artificial Neural Networks - ICANN 2008, 2008, Prague, Czech Republic. pp.188-197, ⟨10.1007/978-3-540-87559-8_20⟩. ⟨inria-00337391⟩



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