Publications and Presentations
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Papafragou, A., Grodner, D., Mirman, D., and Trueswell, J.C. (Eds.) (2016). Proceedings of the 38th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
Mirman, D. (2014). Growth Curve Analysis and Visualization Using R. Boca Raton, FL: Chapman and Hall / CRC Press.
Published and In Press Articles
Murray, A.L., Hall, H.A., Speyer, L.G., Carter, L., Mirman, D., Caye, A., Rohde, L., (in press). Developmental trajectories of ADHD symptoms in a large population-representative longitudinal study. Psychological Medicine. https://doi.org/10.1017/S0033291721000349
Landrigan, J.-F., Zhang, F., and Mirman, D. (2021). A Data-Driven Approach to Post-Stroke Aphasia Classification and Lesion-Based Prediction. Brain, 144(5), 1372-1383. https://doi.org/10.1093/brain/awab010
Thye M., Geller, J., Szaflarski, J.P., and Mirman, D. (2021). Intracranial EEG evidence of functional specialization for taxonomic and thematic relations. Cortex, 140, 40-50. https://doi.org/10.1016/j.cortex.2021.03.018
Thye, M., Szaflarski, J.P., and Mirman, D. (2021). Shared lesion correlates of semantic and letter fluency in post‐stroke aphasia. Journal of Neuropsychology, 15(1), 143-150. https://doi.org/10.1111/jnp.12211.
Geller, J., Winn, M.B., Mahr, T., and Mirman, D. (2020). GazeR: A Package for Processing Gaze Position and Pupil Size Data. Behavior Research Methods, 52, 2232-2255. DOI: 10.3758/s13428-020-01374-8. [SharedIt] https://github.com/dmirman/gazer/
Landrigan, J.-F., Bell, T., Crowe, M., Clay, O.J., and Mirman, D. (2020). Lifting Cognition: A meta-analysis of effects of resistance exercise on cognition. Psychological Research, 84, 1167–1183. DOI: 10.1007/s00426-019-01145-x. Supplemental materials: https://osf.io/8shn5.
Mirman, D., Kraft, A.E., Harvey, D.Y., Brecher, A.R., and Schwartz, M.F. (2019). Mapping articulatory and grammatical sub-components of fluency deficits in post-stroke aphasia. Cognitive, Affective, and Behavioral Neuroscience, 19, 1286-1298. DOI: 10.3758/s13415-019-00729-9 [SharedIt]
Ungrady, M.B., Flurie, M., Zuckerman, B., Mirman, D., and Reilly, J. (2019). Naming and Knowing Revisited: Eyetracking Correlates of Anomia in Progressive Aphasia. Frontiers in Human Neuroscience, 13, 354. DOI: 10.3389/fnhum.2019.00354.
Nair, S., Nenert, R.E., Allendorfer, J.B., Goodman, A.M., Vannest, J., Mirman, D., and Szaflarski, J.P. (2019). Sex, Age, and Handedness Modulate the Neural Correlates of Active Learning. Frontiers in Neuroscience, 13, 961. DOI: 10.3389/fnins.2019.00961.
Chen, Q., Middleton, E., and Mirman, D. (2019). Words fail: Lesion-symptom mapping of errors of omission in post-stroke aphasia. Journal of Neuropsychology, 13, 183-197. DOI: 10.1111/jnp.12148
Botezatu, M.R. and Mirman, D. (2019). Impaired lexical selection and fluency in post-stroke aphasia. Aphasiology, 33(6). 667-688. DOI: 10.1080/02687038.2018.1508637.
Geller, J., Landrigan, J.-F., and Mirman, D. (2019). A Pupillometric Examination of Cognitive Control in Taxonomic and Thematic Semantic Memory. Journal of Cognition, 2(1), 6. DOI: http://doi.org/10.5334/joc.56. Supplemental materials: https://osf.io/f6axd/.
Geller, J., Thye, M., and Mirman, D. (2019). Estimating effects of graded white matter damage and binary tract disconnection on post-stroke language impairment. NeuroImage, 189, 248-257. DOI: 10.1016/j.neuroimage.2019.01.020. Supplemental materials: https://osf.io/3r7qn/.
Mirman, J.H., Curry, A., and Mirman, D. (2019). Learning-to-drive: A reconceptualization. Transportation Research Part F: Psychology and Behaviour, 62, 316-326. DOI: 10.1016/j.trf.2019.01.010. Supplemental materials: https://osf.io/qbgpd/.
Mirman, D. and Thye, M. (2018). Uncovering the Neuroanatomy of Core Language Systems Using Lesion-Symptom Mapping. Current Directions in Psychological Science, 27(6), 455-461. DOI: 10.1177/0963721418787486. Supplemental materials: https://osf.io/6gnvb/.
Thye, M. and Mirman, D. (2018). Relative contributions of lesion location and lesion size to predictions of varied language deficits in post-stroke aphasia. NeuroImage: Clinical, 20, 1129-1138. DOI: 10.1016/j.nicl.2018.10.017
Mirman, D., Landrigan, J.-F., Kokolis, S., Verillo, S., Ferrara, C. and Pustina, D. (2018). Corrections for multiple comparisons in voxel-based lesion-symptom mapping. Neuropsychologia, 115, 112-123. DOI: 10.1016/j.neuropsychologia.2017.08.025. [Part of a special issue on Lesion-Symptom Mapping]
Landrigan, J.-F. and Mirman, D. (2018). The Cost of Switching Between Taxonomic and Thematic Semantics. Memory & Cognition, 46(2), 191-203. DOI: 10.3758/s13421-017-0757-5. [SharedIt]
Magnuson, J., Mirman, D., Luthra, S., Strauss, T., and Harris, H. (2018). Interaction in spoken word recognition models: Feedback helps. Frontiers in Psychology, 9(369), 1-18. DOI: 10.3389/fpsyg.2018.00369.
Mirman, D., Landrigan, J.-F., and Britt, A.E. (2017). Taxonomic and Thematic Semantic Systems. Psychological Bulletin, 143(5), 499-520. DOI: 10.1037/bul0000092.
Peñaloza, C., Mirman, D., Cardona, P., Juncadella, M., Martin, N., Laine, M., and Rodríguez-Fornells, A. (2017). Cross-situational word learning in aphasia. Cortex, 93, 12–27. DOI: 10.1016/j.cortex.2017.04.020.
Rosen, D.S., Kim, Y.E., Mirman, D., and Kounios, J. (2017). All You Need to Do is Ask?: The Exhortation to Be Creative Improves Creative Performance More for Non-Expert than Expert Jazz Musicians. Psychology of Aesthetics, Creativity, and the Arts, 11(4), 420-427. DOI: 10.1037/aca0000087.
Schuh, J.M., Eigsti, I.-M., and Mirman, D. (2016). Discourse comprehension in autism spectrum disorder: Effects of working memory load and common ground. Autism Research, 9(12), 1340-1352. DOI: 10.1002/aur.1632. Supplemental materials.
Rosen, D.S., Erickson, B., Kim, Y.E., Mirman, D., Hamilton, R. H., and Kounios, J. (2016). Anodal tDCS to right dorsolateral prefrontal cortex facilitates performance for novice jazz improvisers but hinders experts. Frontiers in Human Neuroscience, 10(579). DOI: 10.3389/fnhum.2016.00579
Britt A.E., Ferrara C., and Mirman D. (2016). Distinct Effects of Lexical and Semantic Competition during Picture Naming in Younger Adults, Older Adults, and People with Aphasia. Frontiers in Psychology, 7(813), 1-17. DOI: 10.3389/fpsyg.2016.00813.
Nozari, N., Mirman, D., and Thompson-Schill, S.L. (2016). The ventrolateral prefrontal cortex facilitates processing of sentential context to locate referents. Brain and Language, 157-158, 1-13. DOI: 10.1016/j.bandl.2016.04.006.
Peñaloza, C., Mirman, D., Tuomiranta, D., Benetello, A., Heikius, I.-M., Järvinen, S., Cardona, P., Juncadella, M., Laine, M., Martin, N., and Rodríguez-Fornells, A. (2016). Novel word acquisition in aphasia: Facing the word-referent ambiguity of natural language learning contexts. Cortex, 79, 14-31. DOI: 10.1016/j.cortex.2016.03.009.
Landrigan, J.-F. and Mirman, D. (2016). Taxonomic and thematic relatedness ratings for 659 word pairs. Journal of Open Psychology Data, 4:e2. DOI: http://doi.org/10.5334/jopd.24. Download data.
Mirman, D., Zhang, Y., Wang, Z., Coslett, H.B., and Schwartz, M.F. (2015). The ins and outs of meaning: Behavioral and neuroanatomical dissociation of semantically-driven word retrieval and multimodal semantic recognition in aphasia. Neuropsychologia, 76, 208-219. DOI: 10.1016/j.neuropsychologia.2015.02.014.
Skipper-Kallal, L.M., Mirman, D. and Olson, I.R. (2015). Converging Evidence from fMRI and Aphasia that the Left Temporoparietal Cortex has an Essential Role in Representing Abstract Semantic Knowledge. Cortex, 69, 104-120. DOI: 10.1016/j.cortex.2015.04.021.
Mirman, D., Chen, Q., Zhang, Y., Wang, Z., Faseyitan, O.K., Coslett, H.B., and Schwartz, M.F. (2015). Neural Organization of Spoken Language Revealed by Lesion-Symptom Mapping. Nature Communications, 6(6762), 1-9. DOI: 10.1038/ncomms7762.
Chen, Q. and Mirman, D. (2015). Interaction between phonological and semantic representations: Time matters. Cognitive Science, 39(3), 538-558. DOI: 10.1111/cogs.12156.
McClelland, J.L., Mirman, D., Bolger, D.J., and Khaitan, P. (2014). Interactive activation and mutual constraint satisfaction in perception and cognition. Cognitive Science, 38(6), 1139-1189. DOI: 10.1111/cogs.12146. [Part of 2010 Rumelhart Prize Special Issue Honoring James L. McClelland]
Lee, C.-L., Mirman, D., and Buxbaum, L.J. (2014). Abnormal dynamics of activation of object use information in apraxia: Evidence from eyetracking. Neuropsychologia, 59, 13-26. DOI: 10.1016/j.neuropsychologia.2014.04.004.
Britt, A. E., Mirman, D., Kornilov, S. A., and Magnuson, J. S. (2014). Effect of repetition proportion on language-driven anticipatory eye movements. Acta Psychologica, 145(1), 128-138. DOI: 10.1016/j.actpsy.2013.10.004.
Mirman, D. and Britt, A. E. (2014). What we talk about when we talk about access deficits. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1634). DOI: 10.1098/rstb.2012.0388. [Part of special issue on language in developmental and acquired deficits, presentations during the symposium were audio recorded]
Mirman, D. and Graziano, K.M. (2013). The neural basis of inhibitory effects of semantic and phonological neighbors in spoken word production. Journal of Cognitive Neuroscience, 25(9), 1504-1516. DOI:10.1162/jocn_a_00408
Mirman, D., Britt, A.E., and Chen, Q. (2013). Effects of phonological and semantic deficits on facilitative and inhibitory consequences of item repetition in spoken word comprehension. Neuropsychologia, 51(10), 1848-1856. DOI: 10.1016/j.neuropsychologia.2013.06.005.
Lupyan, G. and Mirman, D. (2013). Linking language and categorization: Evidence from aphasia. Cortex, 49(5), 1187-1194. DOI: 10.1016/j.cortex.2012.06.006.
Lee, C.-L., Middleton, E. L., Mirman, D., Kalénine, S., and Buxbaum, L. J. (2013). Incidental and context-responsive activation of structure- and function-based action features during object identification. Journal of Experimental Psychology: Human Perception and Performance, 39(1), 257-270. DOI: 10.1037/a0027533.
Kelty-Stephen, D. G. and Mirman, D. (2013). Gaze fluctuations are not additively decomposable: Reply to Bogartz and Staub (2012). Cognition, 126(1), 128-134. DOI: 10.1016/j.cognition.2012.09.002.
Mirman, D. and Graziano, K.M. (2012a). Individual differences in strength of taxonomic versus thematic relations. Journal of Experimental Psychology: General, 141(4), 601-609. DOI: 10.1037/a0026451.
Mirman, D. and Graziano, K.M. (2012b). Damage to temporo-parietal cortex decreases incidental activation of thematic relations during spoken word comprehension. Neuropsychologia, 50(8), 1990-1997. DOI: 10.1016/j.neuropsychologia.2012.04.024.
Lupyan, G., Mirman, D., Hamilton, R., and Thompson-Schill, S.L. (2012). Categorization is modulated by transcranical direct current stimulation over left prefrontal cortex. Cognition, 124(1), 36-49. http://dx.doi.org/10.1016/j.cognition.2012.04.002
Kalénine, S., Mirman, D., Middleton, E. L., and Buxbaum, L. J. (2012). Temporal dynamics of activation of thematic and functional knowledge during conceptual processing of manipulable artifacts. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38(5), 1274-1295. DOI: 10.1037/a0027626.
Kalénine, S., Mirman, D., and Buxbaum, L. J. (2012). A combination of thematic and similarity-based semantic processes confers resistance to deficit following left hemisphere stroke. Frontiers in Human Neuroscience, 6(106), 1-12. DOI: 10.3389/fnhum.2012.00106.
Chen, Q. and Mirman, D. (2012). Competition and cooperation among similar representations: Toward a unified account of facilitative and inhibitory effects of lexical neighbors. Psychological Review, 119(2), 417-430. DOI: 10.1037/a0027175. Full model code. (Aug. 8, 2012 - Note: The figures in the article were generated with decay rates that were 2x larger than the values reported in the Appendix. The model produces the same qualitative patterns with either set of decay rates, but the activation curves look slightly different.)
Dixon, J.A., Holden, J.G., Mirman, D., and Stephen, D.G. (2012). Development of cognition from the multifractality of perception-action. Topics in Cognitive Science, 4(1), 51-62 [Great Debate: Complex Systems Approach to Cognitive Science]. DOI: 10.1111/j.1756-8765.2011.01162.x.
Mirman, D., Irwin, J.R., and Stephen, D.G. (2012). Eye movement dynamics and cognitive self-organization in typical and atypical development. Cognitive Neurodynamics, 6(1), 61-73. DOI: 10.1007/s11571-011-9180-y.
Schwartz, M.F., Kimberg, D.Y., Walker, G.M., Brecher, A., Faseyitan, O., Dell, G.S., Mirman, D., and Coslett, H.B. (2011). A neuroanatomical dissociation for taxonomic and thematic knowledge in the human brain. Proceedings of the National Academy of Sciences, 108(20), 8520-8524.
Mirman, D., Yee, E., Blumstein, S., and Magnuson, J.S. (2011). Theories of spoken word recognition deficits in aphasia: Evidence from eye-tracking and computational modeling. Brain & Language, 117, 53-68.
Mirman, D. (2011). Effects of near and distant semantic neighbors on word production. Cognitive, Affective, and Behavioral Neuroscience, 11(1), 32-43.
Mirman, D., Strauss, T.J., Brecher, A., Walker, G.M., Sobel, P., Dell, G.S., and Schwartz, M.F. (2010). A large, searchable, web-based database of aphasic performance on picture naming and other tests of cognitive function. Cognitive Neuropsychology, 27(6), 495-504. www.mappd.org
Mirman, D., Graf Estes, and Magnuson, J.S. (2010). Computational modeling of statistical learning: Effects of transitional probability vs. frequency and links to word learning. Infancy, 15(5), 471-486.
Stephen, D. G. and Mirman, D. (2010). Interactions dominate the dynamics of visual cognition. Cognition, 115(1), 154-165.
Mirman, D., Strauss, T.J., Dixon, J.A., and Magnuson, J.S. (2010). Effect of representational distance between meanings on recognition of ambiguous spoken words. Cognitive Science, 34(1), 161-173.
Mirman, D. and Magnuson, J.S. (2009b). Dynamics of activation of semantically similar concepts during spoken word recognition. Memory & Cognition, 37(7), 1026-1039.
Mirman, D. and Magnuson, J.S. (2009a). The effect of frequency of shared features on judgments of semantic similarity. Psychonomic Bulletin & Review, 16(4), 671-677.
Stephen, D. G., Mirman, D., Magnuson, J. S., and Dixon, J. A. (2009). Lévy-like diffusion in spoken-language comprehension. Physical Review E, 79(5), 056114.
Mirman, D. (2008). Mechanisms of semantic ambiguity resolution: Insights from speech perception. Research on Language and Computation, 6(3-4), 293-309. Note: the version published in the journal includes an error in Fig. 1, the error has been fixed in this version.
Mirman, D., Dixon, J.A., and Magnuson, J.S. (2008). Statistical and computational models of the visual world paradigm: Growth curves and individual differences. Journal of Memory and Language, 59(4), 475-494. Our GCA resources website.
Mirman, D., Magnuson, J.S., Graf Estes, K., and Dixon, J.A. (2008). The link between statistical segmentation and word learning in adults. Cognition, 108(1), 271-280.
Mirman, D., McClelland, J.L., Holt, L.L., and Magnuson, J.S. (2008). Effects of attention on the strength of lexical influences on speech perception: Behavioral experiments and computational mechanisms. Cognitive Science, 32(2), 398-417.
Mirman, D. and 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(1), 65-79.
Mirman, D., McClelland, J.L., and Holt, L.L. (2006). An interactive Hebbian account of lexically guided tuning of speech perception. Psychonomic Bulletin & Review, 13(6), 958-965. The model: HebbTRACE.zip
McClelland, J.L., Mirman, D., and Holt, L.L. (2006). Are there interactive processes in speech perception? Trends in Cognitive Sciences, 10(8), 363-369.
Note: Linked file includes letter by McQueen, Norris, & Cutler ("Are there really interactive processes in speech perception?") and response by Mirman, McClelland, & Holt ("Theoretical and empirical arguments support interactive processing.").
Mirman, D., McClelland, J.L., and Holt, L.L. (2005). Computational and behavioral investigations of lexically induced delays in phoneme recognition. Journal of Memory and Language, 52(3), 424-443.
Mirman, D., Holt, L.L., and McClelland, J.L. (2004). Categorization and discrimination of non-speech sounds: differences between steady-state and rapidly-changing acoustic cues. Journal of the Acoustical Society of America, 116(2), 1198-1207.
Mirman, D. and Spivey, M. (2001). Retroactive interference in neural networks and in humans: the effect of pattern-based learning. Connection Science, 13(3), 257-275.
Mirman, D. and Middleton, E.L. (in press). Disorders of lexical access and production. In L. Gleitman, A. Papafragou, and J. Trueswell (Eds) The Oxford Handbook of the Mental Lexicon (pp. ). Oxford University Press.
Mirman, D. (in press). Aphasia, language and speech disorders. In S. Della Sala et al. (Eds), Encyclopedia of Behavioural Neuroscience (2nd edition) (pp. ). Elsevier.
Mirman, D. (2020). Language. In F. Amthor, A. Theibert, D. Standaert, & E. Roberson (Eds), Essentials of Modern Neuroscience (pp. 341-350). McGraw-Hill. (AccessMedicine link)
Mirman, D. (2016). Zones of proximal development for models of spoken word recognition. In T. Harley (Series Ed.) & G.M. Gaskell & J. Mirkovic (Vol. Eds.), Current Issues in the Psychology of Language: Speech Perception and Spoken Word Recognition (pp. 97-115). Psychology Press.
Magnuson, J. S., Mirman, D., & Myers, E. (2013). Spoken word recognition. In D. Reisberg (Ed.), The Oxford Handbook of Cognitive Psychology (pp. 412-441). New York, USA: Oxford University Press.
Magnuson, J. S., Mirman, D., & Harris, H. D. (2012). Computational models of spoken word recognition. In M. Spivey, K. McRae, & M. Joanisse (Eds.), The Cambridge Handbook of Psycholinguistics. Cambridge University Press.
Selected Conference Proceedings
Landrigan, J.-F. and Mirman, D. (2017). Reassessing Aphasic Classifications with Community Detection Analysis. In Proceedings of the Academy of Aphasia 55th Annual Meeting. DOI: 10.3389/conf.fnhum.2017.223.00032
Nozari, N. and Mirman, D. (2016). Using determiners as contextual cues in sentence comprehension: A comparison between younger and older adults.. In A. Papafragou, D. Grodner, D. Mirman, & J. Trueswell (Eds.) Proceedings of the 38th Annual Meeting of the Cognitive Science Society. (pp. 1193-1198). Austin, TX: Cognitive Science Society.
Botezatu, M.R., Landrigan, J.-F., Chen, Q., and Mirman, D. (2015). Phonological Neighborhood Density Modulates Errors In Spoken Word Recognition. In Noelle, D. C., Dale, R., Warlaumont, A. S., Yoshimi, J., Matlock, T., Jennings, C. D., & Maglio, P. P. (Eds.) Proceedings of the 37th Annual Meeting of the Cognitive Science Society. (pp. 250-255). Austin, TX: Cognitive Science Society.
Mirman, D., Kittredge, A.K., and Dell, G.S. (2010). Effects of near and distant phonological neighbors on picture naming. In S. Ohlsson & R. Catrambone (Eds), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 1447-1452). Austin, TX: Cognitive Science Society.
Kubat, R., Mirman, D., & Roy, D.K. (2009). Semantic context effects on color categorization. In N. A. Taatgen & H. van Rijn (Eds) Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 491-495). Austin, TX: Cognitive Science Society.
Mirman, D., Magnuson, J.S , Strauss, T.J., and Dixon, J.A. (2008). Effect of global context on homophone ambiguity resolution. In B.C. Love, K. McRae, & V.M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 663-668). Austin, TX: Cognitive Science Society.
Methods and Technical Reports
Mirman, D., Landrigan, J.-F., Kokolis, S., Verillo, S., Ferrara, C. and Pustina, D. (2016, Dec. 14). Corrections for multiple comparisons in voxel-based lesion-symptom mapping. arXiv:1612.04345 [stat.AP].
Mirman, D., Landrigan, J.-F., Kokolis, S., Verillo, S., Ferrara, C. (2016, June 1). Permutation-based cluster size correction for voxel-based lesion-symptom mapping. arXiv:1606.00475 [stat.AP].
LCDL-TR 2013.1 (December, 2013): Preliminary validation of eye tracking and the “Visual World Paradigm” for participants with aphasia and limb apraxia.
LCDL-TR 2012.4 (September, 2012): Aggregating fixation data across trials of different durations.
LCDL-TR 2012.3 (August, 2012): Treating participants (or items) as random vs. fixed effects.
LCDL-TR 2012.1 (June, 2012): What is "Dynamic Consistency" and does it matter?
LCDL-TR 2011.1 (February, 2011): Choosing between lme and lmer for growth curve analysis.