A demonstration of combining spatial and temporal perception

Abstract

This paper describes two tests of a continuous-time artificial intelligence model proposed by Nan and Costello[7]. This model aims to combine spatial and temporal perception using a single simple mechanism. The first test demonstrates the spatial learning capability of the model by applying it to data from an experiment by Love[6] on human category learning. The second test demonstrates the temporal learning capability of the model by applying it to data from an experiment by Pizzo and Crystal[10] on the prediction of temporal patterns in rats. The model gave a good fit to participant behaviour in both tasks. © 2011 Springer-Verlag Berlin Heidelberg.