TY - JOUR
T1 - Neural dynamics of word recognition and recall
T2 - Attentional priming, learning, and resonance
AU - Grossberg, Stephen
AU - Stone, Gregory
N1 - Funding Information:
t Supported in part by the Air Force Office of Scientific Research (AFOSR 82-0148), the National Science Foundation (NSF IST-8417756), and the Office of Naval Research (ONR N00014-83-K0337). $ Supported in part by the Offire of Kaval Research (ONR N00014-83-KO337).
PY - 1987/1
Y1 - 1987/1
N2 - Data and models about recognition and recall of words and nonwords are unified using a real-time network processing theory. Lexical decision and word frequency effect data are analysed in terms of the same theoretical concepts that have unified data about development of circular reactions, imitation of novel sounds, matching phonetic to articulatory requirements, serial and paired associate verbal learning, free recall, unitization, categorical perception, selective adaptation, auditory contrast, and word superiority effects. The theory, called adaptive resonance theory, arose from an analysis of how a language system self-organizes in real-time in response to its complex input environment. Such an approach emphasizes the moment-by-moment dynamical interactions that control language development, learning, and stability. Properties of language performance emerge from an analysis of the system constraints that govern stable language learning. Concepts such as logogens, verification, automatic activation, interactive activation, limited-capacity processing, conscious attention, serial search, processing stages, speed-accuracy trade-off, situational frequency, familiarity, and encoding specificity are revised and developed using this analysis. Concepts such as adaptive resonance, resonant equilibration of short term memory, bottom-up adaptive filtering, top-down adaptive template matching, competitive masking field, unitized list representation, temporal order information over item representations, attentional priming, attentional gain control, and list-item error trade-off are applied.
AB - Data and models about recognition and recall of words and nonwords are unified using a real-time network processing theory. Lexical decision and word frequency effect data are analysed in terms of the same theoretical concepts that have unified data about development of circular reactions, imitation of novel sounds, matching phonetic to articulatory requirements, serial and paired associate verbal learning, free recall, unitization, categorical perception, selective adaptation, auditory contrast, and word superiority effects. The theory, called adaptive resonance theory, arose from an analysis of how a language system self-organizes in real-time in response to its complex input environment. Such an approach emphasizes the moment-by-moment dynamical interactions that control language development, learning, and stability. Properties of language performance emerge from an analysis of the system constraints that govern stable language learning. Concepts such as logogens, verification, automatic activation, interactive activation, limited-capacity processing, conscious attention, serial search, processing stages, speed-accuracy trade-off, situational frequency, familiarity, and encoding specificity are revised and developed using this analysis. Concepts such as adaptive resonance, resonant equilibration of short term memory, bottom-up adaptive filtering, top-down adaptive template matching, competitive masking field, unitized list representation, temporal order information over item representations, attentional priming, attentional gain control, and list-item error trade-off are applied.
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U2 - 10.1016/S0166-4115(08)61768-9
DO - 10.1016/S0166-4115(08)61768-9
M3 - Article
AN - SCOPUS:77956763903
SN - 0166-4115
VL - 43
SP - 403
EP - 455
JO - Advances in Psychology
JF - Advances in Psychology
IS - C
ER -