Bio-fusion for intelligent systems control

John D. Norseen; Juri D. Kropotov; Inna Z. Kremen

doi:10.1117/12.341364

12 March 1999 Bio-fusion for intelligent systems control

John D. Norseen, Juri D. Kropotov, Inna Z. Kremen

Proceedings Volume 3719, Sensor Fusion: Architectures, Algorithms, and Applications III; (1999) https://doi.org/10.1117/12.341364
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

We present a realistic neural network - the canonical cortical module - built on basic principles of cortical organization. These principles are: opponent cells principle, canonical cortical circuit principle and modular principle. When applied to visual images, the network explains orientational and spatial frequency filtering functions of neurons in the striate cortex. Two patterns of joint distribution of opponent cells in the inhibitory cortical layer are presented: pinwheel and circular. These two patterns provide two Gestalt descriptions of local visual image: circle-ness and cross-ness. These modules were shown to have a power for shape detection and texture discrimination. they also provide an enhancement of signal- to-noise ratio of input images. Being modality independent, the canonical cortical module seems to be a good tool for bio-fusion for intelligent system control.

Citation Download Citation

John D. Norseen, Juri D. Kropotov, and Inna Z. Kremen "Bio-fusion for intelligent systems control", Proc. SPIE 3719, Sensor Fusion: Architectures, Algorithms, and Applications III, (12 March 1999); https://doi.org/10.1117/12.341364

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