Abstract
Rate-coded interaction between neurons is governed by a nonlinear equation, of which the McCulloch-Pitts model for a neural network and the Hartline-Ratliff model of lateral inhibition are special limiting cases. Feature detection is treated as a variational problem and conditions are derived on the connections between neurons at a trigger feature. Perturbations from continual back-ground activity are examined as a possible means for coding and processing information.
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