Authors:
Katherine Goodman
and
John K. Bennett
Affiliation:
University of Colorado Boulder, United States
Keyword(s):
Serial Position Effect (SPE), Primacy, Recency, Hippocampus, Emergent Neural Network Simulation System, Leabra, Serial Recall, Working Memory.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Bioinformatics
;
Biomedical Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Methodologies and Technologies
;
Operational Research
;
Simulation
Abstract:
The Serial Position Effect (SPE) is a well-studied phenomenon in experimental psychology. SPE captures the idea that, when subjects are asked to recall list items, they are more likely to remember the first items and the last items, whether those items are numbers, non-words or elements of a story. Until recently, SPE has been generally considered to rely upon a two-store memory model, i.e., primacy (remembering initial items) and recency (remembering latter items) were thought to be the work of long term memory and short term memory, respectively. This paper reports the results of a basic hippocampus simulation study using the Leabra algorithm within the Emergent Neural Network Simulation System to model the SPE. Simulation results demonstrate that both primacy and recency of the SPE in a serial recall task can be replicated using only the hippocampus, suggesting that a one-store model of memory for this recall task is sufficient. It remains to be seen if this simulation mirrors the
actual biological mechanism utilized.
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