A PROPOSED MODEL OF REPETITION BLINDNESS

摘要

We describe a model of repetition blindness which draws on the dichotomous division of the visual system into two subsystems which process identity and location information. The model is constructed from self-organising networks of spiking neurons which are connected by plastic inhibitory and excitatory synapses. In particular, we describe how these networks are capable of learning translation invariant letter representations and learning to locate a stimulus in the input array using the SOM learning algorithm.