1 August 1996 Stabilized input with a feedback pulse-coupled neural network
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Optical Engineering, 35(8), (1996). doi:10.1117/1.600797
Abstract
Biological findings in the visual cortex of some small mammals are combined with the increasing evidence of feedback from the brain to the sensors to create a feedback pulse-coupled neural network. The main advantage of this algorithm is that it extracts portions of the input information with each iteration. The input is eventually altered to a steady-state output. However, during transition the input at different iterations presents primitive information of the input.
Jason M. Kinser, John L. Johnson, "Stabilized input with a feedback pulse-coupled neural network," Optical Engineering 35(8), (1 August 1996). http://dx.doi.org/10.1117/1.600797
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KEYWORDS
Neurons

Image segmentation

Neural networks

Spatial light modulators

Solids

Optical design

Visual cortex

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