title: Temporal album.
abstract: Transient synchronization has been used as a mechanism of recognizing auditory patterns using integrate-and-fire neural networks. We first extend the mechanism to vision tasks and investigate the role of spike dependent learning. We show that such a temporal Hebbian learning rule significantly improves accuracy of detection. We demonstrate how multiple patterns can be identified by a single pattern selective neuron and how a temporal album can be constructed. This principle may lead to multidimensional memories, where the capacity per neuron is considerably increased with accurate detection of spike synchronization.
authors.affiliation: Sch. of Cognitive and Comput. Sci., Univ. of Sussex, Brighton, UK.
authors.forename: E
authors.initials: E
authors.lastname: Vasilaki
authors.forename: Jianfeng
authors.initials: J
authors.lastname: Feng
authors.forename: H
authors.initials: H
authors.lastname: Buxton