Stabilized Input with a Feedback Pulse-Coupled Neural Network
نویسندگان
چکیده
This paper will combine biological findings in the visual cortex of some small mammals 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.
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