Age of Acquisition Effects in Adult Lexical Processing Reflect Loss of Plasticity in Maturing Systems: Insights from Connectionist NetworksCitation formats

Standard

Age of Acquisition Effects in Adult Lexical Processing Reflect Loss of Plasticity in Maturing Systems: Insights from Connectionist Networks. / Ellis, Andrew W.; Lambon Ralph, Matthew A.

In: Journal of Experimental Psychology: Learning Memory and Cognition, Vol. 26, No. 5, 09.2000, p. 1103-1123.

Research output: Contribution to journalArticle

Harvard

Ellis, AW & Lambon Ralph, MA 2000, 'Age of Acquisition Effects in Adult Lexical Processing Reflect Loss of Plasticity in Maturing Systems: Insights from Connectionist Networks' Journal of Experimental Psychology: Learning Memory and Cognition, vol. 26, no. 5, pp. 1103-1123.

APA

Ellis, A. W., & Lambon Ralph, M. A. (2000). Age of Acquisition Effects in Adult Lexical Processing Reflect Loss of Plasticity in Maturing Systems: Insights from Connectionist Networks. Journal of Experimental Psychology: Learning Memory and Cognition, 26(5), 1103-1123.

Vancouver

Ellis AW, Lambon Ralph MA. Age of Acquisition Effects in Adult Lexical Processing Reflect Loss of Plasticity in Maturing Systems: Insights from Connectionist Networks. Journal of Experimental Psychology: Learning Memory and Cognition. 2000 Sep;26(5):1103-1123.

Author

Ellis, Andrew W. ; Lambon Ralph, Matthew A. / Age of Acquisition Effects in Adult Lexical Processing Reflect Loss of Plasticity in Maturing Systems: Insights from Connectionist Networks. In: Journal of Experimental Psychology: Learning Memory and Cognition. 2000 ; Vol. 26, No. 5. pp. 1103-1123.

Bibtex

@article{d313c6eede05476396a01d6dc358b075,
title = "Age of Acquisition Effects in Adult Lexical Processing Reflect Loss of Plasticity in Maturing Systems: Insights from Connectionist Networks",
abstract = "Early learned words are recognized and produced faster than later learned words. The authors showed that such age of acquisition effects are a natural property of connectionist models trained by back-propagation when patterns are introduced at different points into training and learning of early and late patterns is cumulative and interleaved. Analysis of hidden unit activations indicated that the age of acquisition effect reflects a gradual reduction in network plasticity and a consequent failure to differentiate late items as effectively as early ones. Further simulations examined the effects of vocabulary size, learning rate, sparseness of coding, use of a modified learning algorithm, loss of early items, acquisition of very late items, and lesioning the network. The relationship between age of acquisition and word frequency was explored, including analyses of how the relative influence of these factors is modulated by introducing weight decay.",
keywords = "Adult, Age Factors, Algorithms, Computer Simulation, Human, Language Development, Models, Psychological, Neural Networks (Computer), Neuronal Plasticity, Practice (Psychology), Support, Non-U.S. Gov't, Support, U.S. Gov't, P.H.S., Verbal Learning",
author = "Ellis, {Andrew W.} and {Lambon Ralph}, {Matthew A.}",
year = "2000",
month = "9",
language = "English",
volume = "26",
pages = "1103--1123",
journal = "Journal of Experimental Psychology: Learning Memory and Cognition",
issn = "0278-7393",
publisher = "American Psychological Association",
number = "5",

}

RIS

TY - JOUR

T1 - Age of Acquisition Effects in Adult Lexical Processing Reflect Loss of Plasticity in Maturing Systems: Insights from Connectionist Networks

AU - Ellis, Andrew W.

AU - Lambon Ralph, Matthew A.

PY - 2000/9

Y1 - 2000/9

N2 - Early learned words are recognized and produced faster than later learned words. The authors showed that such age of acquisition effects are a natural property of connectionist models trained by back-propagation when patterns are introduced at different points into training and learning of early and late patterns is cumulative and interleaved. Analysis of hidden unit activations indicated that the age of acquisition effect reflects a gradual reduction in network plasticity and a consequent failure to differentiate late items as effectively as early ones. Further simulations examined the effects of vocabulary size, learning rate, sparseness of coding, use of a modified learning algorithm, loss of early items, acquisition of very late items, and lesioning the network. The relationship between age of acquisition and word frequency was explored, including analyses of how the relative influence of these factors is modulated by introducing weight decay.

AB - Early learned words are recognized and produced faster than later learned words. The authors showed that such age of acquisition effects are a natural property of connectionist models trained by back-propagation when patterns are introduced at different points into training and learning of early and late patterns is cumulative and interleaved. Analysis of hidden unit activations indicated that the age of acquisition effect reflects a gradual reduction in network plasticity and a consequent failure to differentiate late items as effectively as early ones. Further simulations examined the effects of vocabulary size, learning rate, sparseness of coding, use of a modified learning algorithm, loss of early items, acquisition of very late items, and lesioning the network. The relationship between age of acquisition and word frequency was explored, including analyses of how the relative influence of these factors is modulated by introducing weight decay.

KW - Adult

KW - Age Factors

KW - Algorithms

KW - Computer Simulation

KW - Human

KW - Language Development

KW - Models, Psychological

KW - Neural Networks (Computer)

KW - Neuronal Plasticity

KW - Practice (Psychology)

KW - Support, Non-U.S. Gov't

KW - Support, U.S. Gov't, P.H.S.

KW - Verbal Learning

M3 - Article

VL - 26

SP - 1103

EP - 1123

JO - Journal of Experimental Psychology: Learning Memory and Cognition

JF - Journal of Experimental Psychology: Learning Memory and Cognition

SN - 0278-7393

IS - 5

ER -