Oscillator-based memory for serial order

G D A Brown, T Preece, C Hulme

Research output: Contribution to journalLiterature reviewpeer-review

Abstract

A computational model of human memory for serial order is described (OSCillator-based Associative Recall [OSCAR]). In the model, successive list items become associated to successive states of a dynamic learning-context signal. Retrieval involves reinstatement of the learning context, successive states of which cue successive recalls, The model provides an integrated account of both item memory and order memory and allows the hierarchical representation of temporal order information. The model accounts for a wide range of serial order memory data, including differential item and order memory, transposition gradients, item similarity effects, the effects of item lag and separation in judgments of relative and absolute recency, probed serial recall data, distinctiveness effects, grouping effects at various temporal resolutions, longer term memory for serial order, list length effects, and the effects of vocabulary size on serial recall.

Original languageEnglish
Pages (from-to)127-181
Number of pages55
JournalPsychological Review
Volume107
Issue number1
Publication statusPublished - Jan 2000

Keywords

  • SHORT-TERM-MEMORY
  • DISTRIBUTED ASSOCIATIVE MEMORY
  • WORD-LENGTH
  • TEMPORAL DISTINCTIVENESS
  • RETRIEVAL-PROCESSES
  • FREE-RECALL
  • PHONEMIC SIMILARITY
  • ARTICULATORY LOOP
  • IMMEDIATE MEMORY
  • DEPENDENT MEMORY

Cite this