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A two-neuron cross-correlation circuit with a wide and continuous range of time delay

by Jonathan Tapson, M P Vismer, Craig Jin, André Van Schaik, F O Folowosele, R Etienne-Cummings
IEEE International Symposium on Circuits and Systems (2008)

Abstract

We describe a circuit of two spiking neurons which extracts mathematically accurate cross-correlations from the signal inputs. It differs from prior circuits such as coincidence detectors or enhanced motion detectors require an a priori in that it does not selected. The output, fixed delay between input signals to be in the form of a differential spike histogram, displays a mathematical cross-correlation in the conventional correlation vs. time form.

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