Blair Armstrong
Blair Armstrong
Unknown affiliation
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Cited by
Cited by
Domain generality versus modality specificity: The paradox of statistical learning
R Frost, BC Armstrong, N Siegelman, MH Christiansen
Trends in cognitive sciences 19 (3), 117-125, 2015
The what, when, where, and how of visual word recognition
M Carreiras, BC Armstrong, M Perea, R Frost
Trends in cognitive sciences 18 (2), 90-98, 2014
Statistical learning research: A critical review and possible new directions.
R Frost, BC Armstrong, MH Christiansen
Psychological Bulletin 145 (12), 1128, 2019
Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics
BC Armstrong, MV Ruiz-Blondet, N Khalifian, KJ Kurtz, Z Jin, S Laszlo
Neurocomputing 166, 59-67, 2015
The long road of statistical learning research: past, present and future
BC Armstrong, R Frost, MH Christiansen
Philosophical Transactions of the Royal Society B: Biological Sciences 372…, 2017
Chronset: An automated tool for detecting speech onset
F Roux, BC Armstrong, M Carreiras
Behavior research methods 49, 1864-1881, 2017
Settling dynamics in distributed networks explain task differences in semantic ambiguity effects: Computational and behavioral evidence
BC Armstrong, DC Plaut
Proceedings of the Annual Meeting of the Cognitive Science Society 30 (30), 2008
Disparate semantic ambiguity effects from semantic processing dynamics rather than qualitative task differences
BC Armstrong, DC Plaut
Language, Cognition and Neuroscience 31 (7), 940-966, 2016
PSPs and ERPs: Applying the dynamics of post-synaptic potentials to individual units in simulation of temporally extended Event-Related Potential reading data
S Laszlo, BC Armstrong
Brain and language 132, 22-27, 2014
SOS! An algorithm and software for the stochastic optimization of stimuli
BC Armstrong, CE Watson, DC Plaut
Behavior research methods 44, 675-705, 2012
eDom: Norming software and relative meaning frequencies for 544 English homonyms
BC Armstrong, N Tokowicz, DC Plaut
Behavior research methods 44, 1015-1027, 2012
What can we learn from learning models about sensitivity to letter-order in visual word recognition?
I Lerner, BC Armstrong, R Frost
Journal of Memory and Language 77, 40-58, 2014
Long‐term potentiation is associated with changes in synaptic ultrastructure in the rat neocortex
S Connor, PTJ Williams, B Armstrong, TL Petit, TL Ivanco, ACW Weeks
Synapse 59 (6), 378-382, 2006
What exactly is learned in visual statistical learning? Insights from Bayesian modeling
N Siegelman, L Bogaerts, BC Armstrong, R Frost
Cognition 192, 104002, 2019
A comparison of homonym meaning frequency estimates derived from movie and television subtitles, free association, and explicit ratings
CA Rice, B Beekhuizen, V Dubrovsky, S Stevenson, BC Armstrong
Behavior research methods 51, 1399-1425, 2019
Inducing homonymy effects via stimulus quality and (not) nonword difficulty: Implications for models of semantic ambiguity and word recognition
B Armstrong, D Plaut
Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011
How are visual words represented? Insights from EEG‐based visual word decoding, feature derivation and image reconstruction
S Ling, ACH Lee, BC Armstrong, A Nestor
Human brain mapping 40 (17), 5056-5068, 2019
Lexical access versus lexical decision processes for auditory, visual, and audiovisual items: Insights from behavioral and neural measures
RAL Zunini, M Baart, AG Samuel, BC Armstrong
Neuropsychologia 137, 107305, 2020
Relative meaning frequencies for 578 homonyms in two Spanish dialects: A cross-linguistic extension of the English eDom norms
BC Armstrong, C Zugarramurdi, Cabana, J Valle Lisboa, DC Plaut
Behavior Research Methods 48, 950-962, 2016
Probing lexical ambiguity: Word vectors encode number and relatedness of senses
B Beekhuizen, BC Armstrong, S Stevenson
Cognitive science 45 (5), e12943, 2021
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