Presentation 1999/7/15
A feature-segmentation model of short-term visual memory
Koji SAKAI, Toshio INUI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) We propose a feature-segmentation model for the representation of a single pattern in short-term visual memory (STVM). The structure of the model is that three processes interact to determine a memory sensitivity (d'): acquisition, memory, and decision. The basic assumptions of the model can be expressed such that (1) Forgetting occures because the representation of each convex part is individually distorted with memory noise, (2) The amount of memory noise with each convex part is fixed ragardless of pattern complexity, (3) The probability that memory noise occurs is nearly zero if the presented figure is within memory capacity, (4) Memory noise increases as a linear function of the retention interval. Simulation showed that the data of Sakai & Inui (1999a, 1999b, 1999c) were quite compatible with the present model. It is suggested that segmented convex parts are stored in STVM with a parallel rehearsal.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) short-term visual memory / segmentation / convex part / memory noise / memory capacity
Paper # HIP99-10
Date of Issue

Conference Information
Committee HIP
Conference Date 1999/7/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Human Information Processing (HIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A feature-segmentation model of short-term visual memory
Sub Title (in English)
Keyword(1) short-term visual memory
Keyword(2) segmentation
Keyword(3) convex part
Keyword(4) memory noise
Keyword(5) memory capacity
1st Author's Name Koji SAKAI
1st Author's Affiliation Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University()
2nd Author's Name Toshio INUI
2nd Author's Affiliation Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University
Date 1999/7/15
Paper # HIP99-10
Volume (vol) vol.99
Number (no) 185
Page pp.pp.-
#Pages 6
Date of Issue