Binding sparse spatiotemporal patterns in spiking computation

Abstract

Imagine a two-dimensional spatial array of detectors temporally driven via an unknown number of mutually overlapping, unknown patterns. One at a time, these patterns are randomly, partially, sparsely and repeatedly presented, superimposed with omnipresent noise. The challenge is to design a scheme for detecting and recalling these patterns in an unsupervised, online and computationally efficient fashion. © 2010 IEEE.