An interactive activation model of context effects in letter perception

E548092

cognitive psychology paper computational model paper scientific article

"An interactive activation model of context effects in letter perception" is a seminal cognitive psychology paper that introduced a computational model explaining how letter and word recognition are influenced by both bottom-up sensory input and top-down contextual information.

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Statements (48)

Predicate	Object
instanceOf	cognitive psychology paper ⓘ computational model paper ⓘ scientific article ⓘ
addresses	context effects in perception ⓘ word superiority effect ⓘ
aimsTo	account for empirical findings on word superiority ⓘ integrate bottom-up and top-down influences in a single model ⓘ
assumes	activation spreads between levels of representation ⓘ competition among incompatible letter and word units ⓘ
contrastsWith	strictly bottom-up models of perception ⓘ
demonstrates	importance of context in letter identification ⓘ interaction between sensory input and expectations ⓘ
describes	interactive activation model ⓘ
emphasizes	bottom-up processing ⓘ interactive processing between levels ⓘ top-down processing ⓘ
explains	how letter recognition is influenced by word context ⓘ how word recognition is influenced by letter-level input ⓘ
field	cognitive psychology ⓘ cognitive science ⓘ computational modeling ⓘ visual word recognition ⓘ
focusesOn	letter perception ⓘ word recognition ⓘ
hasAuthor	David E. Rumelhart NERFINISHED ⓘ James L. McClelland NERFINISHED ⓘ
includes	feature level units ⓘ letter level units ⓘ word level units ⓘ
influenced	development of connectionist models in cognitive science ⓘ research on parallel distributed processing ⓘ subsequent models of visual word recognition ⓘ
introducesConcept	interactive activation ⓘ word superiority effect modeling ⓘ
isConsidered	foundational paper for connectionist modeling ⓘ seminal work in cognitive psychology ⓘ
language	English ⓘ
models	parallel processing of letters in words ⓘ time course of activation in recognition ⓘ
proposes	a model of context effects in letter perception ⓘ
proposesMechanism	mutual excitation between compatible units ⓘ mutual inhibition between competing units ⓘ
provides	computational simulations of letter and word recognition ⓘ
relatesTo	pattern recognition ⓘ perceptual learning ⓘ
supports	interactive models of perception ⓘ
uses	connectionist framework ⓘ distributed processing ⓘ

Referenced by (1)

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David E. Rumelhart → notableWork → An interactive activation model of context effects in letter perception ⓘ