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Autism Research : Official Journal of the International Society for Autism Research|January 14, 2018
Sensitivity to audio-visual synchrony and its relation to language abilities in children with and without ASDGiulia Righi, Elena J Tenenbaum, Carolyn McCormick, et al.
Plos One|April 21, 2017
Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRSLauren L Emberson, Benjamin D Zinszer, Rajeev D S Raizada, et al.
Developmental Cognitive Neuroscience|December 25, 2016
Using fNIRS to examine occipital and temporal responses to stimulus repetition in young infants: Evidence of selective frontal cortex involvementLauren L Emberson, Grace Cannon, Holly Palmeri, et al.
Cogsci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference|September 23, 2021
Memory integration into visual perception in infancy, childhood, and adulthoodSagi Jaffe-Dax, Christine Potter, Tiffany Leung, et al.
Experimental Brain Research|October 9, 2007
Asynchrony from synchrony: long-range gamma-band neural synchrony accompanies perception of audiovisual speech asynchronySam M Doesburg, Lauren L Emberson, Alan Rahi, et al.
Developmental Cognitive Neuroscience|November 27, 2018
Expectation affects neural repetition suppression in infancyLauren L Emberson, Alex M Boldin, Claire E Robertson, et al.
Current Biology : CB|January 31, 2017
Deficits in Top-Down Sensory Prediction in Infants At Risk due to Premature BirthLauren L Emberson, Alex M Boldin, Julie E Riccio, et al.
Journal of Experimental Child Psychology|March 5, 2024
Infants' top-down perceptual modulation is specific to own-race facesNaiqi G Xiao, Hila Ghersin, Natasha D Dombrowski, et al.
Communications Biology|September 16, 2021
Explainable artificial intelligence based analysis for interpreting infant fNIRS data in developmental cognitive neuroscienceJavier Andreu-Perez, Lauren L Emberson, Mehrin Kiani, et al.
Developmental Science|May 12, 2019
Comparing statistical learning across perceptual modalities in infancy: An investigation of underlying learning mechanism(s)Lauren L Emberson, Jennifer B Misyak, Jennifer A Schwade, et al.
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