SHORT TERM MEMORY IN A NETWORK OF SPIKING NEURONS

摘要

A distributed connectionist model of spiking neurons (INFERNET) is used to simulate various aspects of Short Term Memory. In INFERNET, short term memory is the transient activation of long term memory elements. This single store model has a human-like performance in short term memory span tasks, but also displays serial position effects, similarity effects, and double dissociation between short and long term memory which are considered as the main psychological arguments in favor of the multiple-store model.