Memory for serial order: a network model of the phonological loop and its timing.

Psychology

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Memory for serial order: a network model of the phonological loop and its timing. / Burgess, Neil; Hitch, Graham J.
In: Psychological Review, Vol. 106, No. 3, 07.1999, p. 551-581.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bibtex

@article{7d2bfafaa35c438abbf62c2675fb5cc7,

title = "Memory for serial order: a network model of the phonological loop and its timing.",

abstract = "A connectionist model of human short-term memory is presented that extends the {"}phonological loop{"} (A. D. Baddeley, see record 1986-98526-000) to encompass serial order and learning. Psychological and neuropsychological data motivate separate layers of lexical, timing, and input and output phonemic information. Connection weights between layers show Hebbian learning and decay over short and long time scales. At recall, the timing signal is rerun, phonemic information feeds back from output to input, and lexical nodes compete to be selected. The selected node then receives decaying inhibition. The model provides an explanatory mechanism for the phonological loop and for the effects of serial position, presentation modality, lexicality, grouping, and Hebb repetition. It makes new psychological and neuropsychological predictions and is a starting point for understanding the role of the phonological loop in vocabulary acquisition and for interpreting data from functional neuroimaging.",

author = "Neil Burgess and Hitch, {Graham J.}",

year = "1999",

month = jul,

language = "English",

volume = "106",

pages = "551--581",

journal = "Psychological Review",

issn = "0033-295X",

publisher = "American Psychological Association Inc.",

number = "3",

}

RIS

TY - JOUR

T1 - Memory for serial order: a network model of the phonological loop and its timing.

AU - Burgess, Neil

AU - Hitch, Graham J.

PY - 1999/7

Y1 - 1999/7

N2 - A connectionist model of human short-term memory is presented that extends the "phonological loop" (A. D. Baddeley, see record 1986-98526-000) to encompass serial order and learning. Psychological and neuropsychological data motivate separate layers of lexical, timing, and input and output phonemic information. Connection weights between layers show Hebbian learning and decay over short and long time scales. At recall, the timing signal is rerun, phonemic information feeds back from output to input, and lexical nodes compete to be selected. The selected node then receives decaying inhibition. The model provides an explanatory mechanism for the phonological loop and for the effects of serial position, presentation modality, lexicality, grouping, and Hebb repetition. It makes new psychological and neuropsychological predictions and is a starting point for understanding the role of the phonological loop in vocabulary acquisition and for interpreting data from functional neuroimaging.

AB - A connectionist model of human short-term memory is presented that extends the "phonological loop" (A. D. Baddeley, see record 1986-98526-000) to encompass serial order and learning. Psychological and neuropsychological data motivate separate layers of lexical, timing, and input and output phonemic information. Connection weights between layers show Hebbian learning and decay over short and long time scales. At recall, the timing signal is rerun, phonemic information feeds back from output to input, and lexical nodes compete to be selected. The selected node then receives decaying inhibition. The model provides an explanatory mechanism for the phonological loop and for the effects of serial position, presentation modality, lexicality, grouping, and Hebb repetition. It makes new psychological and neuropsychological predictions and is a starting point for understanding the role of the phonological loop in vocabulary acquisition and for interpreting data from functional neuroimaging.

M3 - Journal article

VL - 106

SP - 551

EP - 581

JO - Psychological Review

JF - Psychological Review

SN - 0033-295X

IS - 3

ER -

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