Paper
1 September 1990 Feedforward shunting: a simple second-order neural network motion sensor
Luis R. Lopez
Author Affiliations +
Abstract
A single-layer locally-connected neural network that uses a simple second-order neural architecture is presented. This network demonstrates surprisingly good performance in the detection and isolation of traveling pulses superposed on a randomly fluctuating background. The processin topology and dynamics can be traced to High Order eral Networks (HONNs) and motion sensitive cellular automata '' . Similar processing strategies have also been found in biological processing systems. 1.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Luis R. Lopez "Feedforward shunting: a simple second-order neural network motion sensor", Proc. SPIE 1297, Hybrid Image and Signal Processing II, (1 September 1990); https://doi.org/10.1117/12.21329
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Neural networks

Signal to noise ratio

Neurons

Image processing

Signal processing

Sensors

Motion detection

RELATED CONTENT

Spectral parameter estimation using neural network
Proceedings of SPIE (September 16 1992)
Evaluation of image tracker algorithms
Proceedings of SPIE (July 01 1991)
Image segmentation by nonsupervised neural networks
Proceedings of SPIE (March 23 1994)
Design Of A High Order Neural Network Motion Sensor
Proceedings of SPIE (May 17 1989)
GLCM and neural network-based watermark identification
Proceedings of SPIE (September 03 2008)

Back to Top