IGERT training program in Neurobiology of Language (PI)

NRT training program in Science of Learning & Art of Communication (PI)

My research interests include:

Current research projects in the CCNLL include:

• Cognitive Psychology (PSYC 2501)
• Science of Learning & Art of Communication (Honors core seminar)

Graduate

• Foundations in Language Plasticity and Science of Learning (rapid introductions to Cognitive Psychology, Computational Modeling, Neuroscience, and Genetics)
• Cognitive Psychology
• Time course methods (EEG, eye tracking)
• The Mental Lexicon (spoiler alert: we discover Dr. Magnuson denies the existence of a mental lexicon)

• Magnuson, J. S., Mirman, D., *Luthra, S., Strauss, T., & Harris, H. (2018). Interaction in spoken word recognition models: Feedback helps. Frontiers in Psychology, 9:369. doi:10.3389/fpsyg.2018.00369 [HTML]
• Brown, K.S., Allopenna, P.D., **Hunt, W.R., *Steiner, R.. Saltzman, E., McRae, K., & Magnuson, J.S. (2018). Universal features in phonological neighbor networks. Entropy, 20(7), 526. https://doi.org/10.3390/e20070526
• +You, H. & Magnuson, J. S. (2018). TISK 1.0: An easy-to-use Python implementation of the time-invariant string kernel model of spoken word recognition. Behavior Research Methods. doi:10.3758/s13428-017-1012-5
• Magnuson, J. S. (2017). Mapping spoken words to meaning. In G. Gaskell & J. Mirkovic, Speech Perception and Spoken Word Recognition (pp. 76-96). New York: Routledge.
• Kukona, A., Braze, D., Johns, C. L., Mencl, W. E., Van Dyke, J. A., Magnuson, J. S., Pugh, K. R., Shankweiler, D. P., & Tabor, W. (2016). The real-time prediction and inhibition of linguistic outcomes: Effects of language and literacy skill. Acta Psychologica, 171, 72-84.
• Olmstead, A., Viswanathan, N. & Magnuson, J. S. (2016). Direct and real: Carol A. Fowler’s theory and approach to science. Ecological Psychology, 28(3), 127-129.
• *Kornilov, S.A., Rakhlin, N., Koposov, R., Lee, M., Yrigollen, C., Caglayan, A., Magnuson, J.S., Mane, S., Chang, J., & Grigorenko, E.L. (2016). Genome-wide association and exome sequencing study of language disorder in an isolated population. Pediatrics, 137(4), e20152469. doi:10.1542/peds.2015-2469.
• Zhang, C., Pugh, K. R., Mencl, W. E., Molfese, S. J., Magnuson, J. S., Peng, G., & Wang, W. S-Y. (2016). Functionally integrated neural processing of linguistic and talker information: An event-related fMRI and ERP study. Neuroimage, 124, 536-549.
• Braze, D., Katz, L., Magnuson, J. S., Mencl, W. E., Tabor, W., Van Dyke, J. A., Gong, T., Johns, C. L., & Shankweiler, D. P. (2016). Vocabulary does not complicate the simple view of reading. Reading and Writing, 29, 435-451.
• Sadat, J., Martin, C. D., Magnuson, J. S., Alario, F-X, & Costa, A. (2016). Breaking down the bilingual cost in speech production. Cognitive Science, 40, 1911-1940.
• *Collisson, B. A., Grela, B., Spaulding, T., Rueckl, J. G., & Magnuson, J. S. (2015). Individual differences in the shape bias in preschool children with Specific Language Impairment and typical language development: Theoretical and clinical implications. Developmental Science, 18:3, 373-388.
• *Kornilov, S. A., Magnuson, J. S., Rakhlin, N., Landi, N., & Grigorenko, E. L. (2015). Lexical processing deficits in children with Developmental Language Disorder: An event-related potentials study. Development and Psychopathology, 27, 459-476.
• Magnuson, J. S. (2015). Phoneme restoration and empirical coverage of interactive activation and adaptive resonance models of human speech processing. Journal of the Acoustical Society of America, 137(3), 1481-1492. http://dx.doi.org/10.1121/1.4904543.

• Mirman, D., Yee, E., Blumstein, S., & Magnuson, J.S. (2011). Theories of spoken word recognition deficits in aphasia: Evidence from eye-tracking and computational modeling. Brain & Language, 117, 53-68.
• *Kukona, A., *Fang, S., *Aicher, K. A., Chen, H., & Magnuson, J. S. (2011). The time course of anticipatory constraint integration. Cognition, 119, 23-42.
• +Mirman, D., Graf Estes, K., & Magnuson, J.S. (2010). Computational modeling of statistical learning: Effects of transitional probability versus frequency and links to word learning. Infancy, 15, 471-486.
• Magnuson, J.S., Tanenhaus, M.K., & Aslin, R.N. (2008). Immediate effects of form-class constraints on spoken word recognition. Cognition, 108(3), 866-873.
• +Mirman, D., Dixon, J. A., & Magnuson, J. S. (2008). Statistical and computational models of the visual world paradigm: Growth curves and individual differences.Journal of Memory & Language, 59(4), 475-494.
• +Mirman, D. & Magnuson, J.S. (2008). Attractor dynamics and semantic neighborhood density: Processing is slowed by near neighbors and speeded by distant neighbors. Journal of Experimental Psychology: Learning, Memory & Cognition, 34, 65-79.
• Magnuson, J. S., Dixon, J., Tanenhaus, M. K., & Aslin, R. N. (2007). The dynamics of lexical competition during spoken word recognition. Cognitive Science, 31, 133-156.
• Magnuson, J. S., & Nusbaum, H. C. (2007). Acoustic differences, listener expectations, and the perceptual accommodation of talker variability. Journal of Experimental Psychology: Human Perception and Performance, 33, 391-409.
• Strauss, T. J., +Harris, H. D., & Magnuson, J. S. (2007). jTRACE : A reimplementation and extension of the TRACE model of speech perception and spoken word recognition. Behavior Research Methods, 39, 19-30.
• Magnuson, J. S., Tanenhaus, M. K., Aslin, R. N., & Dahan, D. (2003). The time course of spoken word recognition and learning: Studies with artificial lexicons.Journal of Experimental Psychology:General, 132(2), 202-227.
• Allopenna, P. D., Magnuson, J. S., & Tanenhaus, M. K. (1998). Tracking the time course of spoken word recognition using eye movements: Evidence for continuous mapping models. Journal of Memory and Language, 38, 419-439.