Brain Cognition & Development Lab

• Scott, L. S., & Arcaro, M. J. (2023). A domain-relevant framework for the development of face processing. Nature Reviews Psychology, 2(3), 183–195. https://doi.org/10.1038/s44159-023-00152-5
• Farrell, J., Conte, S., Barry‐Anwar, R., & Scott, L. S. (2023). Face race and sex impact visual fixation strategies for upright and inverted faces in 3‐ to 6‐year‐old children. Developmental Psychobiology, 65(2), e22362. https://doi.org/10.1002/dev.22362,  Tasks, data, and stimuli here
• Kutlu, E., Barry-Anwar, R., Pestana, Z., Keil, A., & Scott, L. S. (2023). A label isn’t just a label: Brief training leads to label-dependent visuo-cortical processing in adults. Neuropsychologia, 178, 108443.  10.1016/j.neuropsychologia.2022.108443.
• Spann, M. N., Wisnowski, J. L., Smyser, C. D., Howell, B., Dean, D. C., Ahtam, B., Gao, W., Huang, H., Nebel, M. B., Norton, E. S., Ouyang, M., Rajagopalan, V., Riggins, T., Saygin, Z. M., Scott, L., Smyser, C. D., Thomason, M. E., Wakschlag, L. S., Ahmad, S., … Zöllei, L. (2023). The art, science, and secrets of scanning young children. Biological Psychiatry, 93(10), 858–860.  https://doi.org/10.1016/j.biopsych.2022.09.025
• Figueira, J. S. B., Kutlu, E., Scott, L. S., & Keil, A. (2022). The FreqTag toolbox: A principled approach to analyzing electrophysiological time series in frequency tagging paradigms. Developmental Cognitive Neuroscience, 54, 101066. https://doi.org/10.1016/j.dcn.2022.101066
• Scott, L. S., & Brito, N. H. (2022). Supporting healthy brain and behavioral development during infancy. Policy Insights from the Behavioral and Brain Sciences, 9(1), 129–136.https://doi.org/10.1177/23727322211068172
• Elhamiasl, M., Silva, G., Cataldo, A. M., Hadley, H., Arnold, E., Tanaka, J. W., Curran, T., & Scott, L. S. (2022). Dissociations between performance and visual fixations after subordinate- and basic-level training with novel objects. Vision Research, 191, 107971. https://doi.org/10.1016/j.visres.2021.107971
• Hagen, S., Vuong, Q. C., Chin, M. D., Scott, L. S., Curran, T., & Tanaka, J. W. (2021). Bird expertise does not increase motion sensitivity to bird flight motion. Journal of Vision, 21(5), 5. https://doi.org/10.1167/jov.21.5.5
• Silva, G., Rocha, H. A., Kutlu, E., Boylan, M. R., Scott, L. S., & Keil, A. (2021). Single-session label training alters neural competition between objects and faces. Journal of Experimental Psychology: Human Perception and Performance, 47(3), 387–401. https://doi.org/10.1037/xhp0000889
• Leung, S., Johnston, P., Pegna, A., Puce, A., & Scott, L. (2020). Editorial: Where the rubber meets the road in visual perception: High temporal‐precision brain signals to top‐down and bottom‐up influences on perceptual resolution. European Journal of Neuroscience, 52(11), 4403–4410. https://doi.org/10.1111/ejn.15036
• Barry-Anwar, R., Riggins, T., & Scott, L. S. (2020). Electrophysiology in developmental populations: Key methods and findings. In K. Cohen Kadosh (Ed.), The Oxford Handbook of Developmental Cognitive Neuroscience. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198827474.013.3
• Riggins, T., & Scott, L. S. (2020). P300 development from infancy to adolescence. Psychophysiology, 57(7), e13346. https://doi.org/10.1111/psyp.13346
• Barry-Anwar, R., Hadley, H., & Scott, L. S. (2019). Differential neural responses to faces paired with labels versus faces paired with noise at 6- and at 9-months. Vision Research, 157, 264–273. https://doi.org/10.1016/j.visres.2018.03.002
• Devillez, H., Mollison, M. V., Hagen, S., Tanaka, J. W., Scott, L. S., & Curran, T. (2019). Color and spatial frequency differentially impact early stages of perceptual expertise training. Neuropsychologia, 122, 62–75. https://doi.org/10.1016/j.neuropsychologia.2018.11.011
• Markant, J., & Scott, L. S. (2018). Attention and perceptual learning interact in the development of the other-race effect. Current Directions in Psychological Science, 27(3), 163–169. https://doi.org/10.1177/0963721418769884
• Jones, T., Hadley, H., Cataldo, A. M., Arnold, E., Curran, T., Tanaka, J. W., & Scott, L. S. (2020). Neural and behavioral effects of subordinate‐level training of novel objects across manipulations of color and spatial frequency. European Journal of Neuroscience, 52(11), 4468–4479. https://doi.org/10.1111/ejn.13889.  Data and Stimuli
• Barry-Anwar, R., Hadley, H., Conte, S., Keil, A., & Scott, L. S. (2018). The developmental time course and topographic distribution of individual-level monkey face discrimination in the infant brain. Neuropsychologia, 108, 25–31. https://doi.org/10.1016/j.neuropsychologia.2017.11.019  Data and Stimuli     
• Pickron, C. B., Iyer, A., Fava, E., & Scott, L. S. (2018). Learning to individuate: The specificity of labels differentially impacts infant visual attention. Child Development, 89(3), 698–710. https://doi.org/10.1111/cdev.13004 Data and Stimuli
• Pickron, C. B., Fava, E., & Scott, L. S. (2017). Follow my gaze: Face race and sex influence gaze‐cued attention in infancy. Infancy, 22(5), 626–644. https://doi.org/10.1111/infa.12180
• Hagen, S., Vuong, Q. C., Scott, L. S., Curran, T., & Tanaka, J. W. (2016). The role of spatial frequency in expert object recognition. Journal of Experimental Psychology: Human Perception and Performance, 42(3), 413–422. https://doi.org/10.1037/xhp0000139
• Hadley, H., & Scott, L. (2015). Babies get it right. eLife, 4, e08232. https://doi.org/10.7554/eLife.08232
• Hadley, H., Pickron, C. B., & Scott, L. S. (2015). The lasting effects of process‐specific versus stimulus‐specific learning during infancy. Developmental Science, 18(5), 842–852. https://doi.org/10.1111/desc.12259
• Hadley, H., Rost, G., Fava, E., & Scott, L. (2014). A mechanistic approach to cross-domain perceptual narrowing in the first year of life. Brain Sciences, 4(4), 613–634. https://doi.org/10.3390/brainsci4040613
• Hagen, S., Vuong, Q. C., Scott, L. S., Curran, T., & Tanaka, J. W. (2014). The role of color in expert object recognition. Journal of Vision, 14(9), 9–9. https://doi.org/10.1167/14.9.9
• Scott, L. S., & Fava, E. (2013). The own-species face bias: A review of developmental and comparative data. Visual Cognition, 21(9–10), 1364–1391. https://doi.org/10.1080/13506285.2013.821431
• Scherf, K. S., & Scott, L. S. (2012). Connecting developmental trajectories: Biases in face processing from infancy to adulthood. Developmental Psychobiology, 54(6), 643–663. https://doi.org/10.1002/dev.21013
• Vogel, M., Monesson, A., & Scott, L. S. (2012). Building biases in infancy: The influence of race on face and voice emotion matching. Developmental Science, 15(3), 359–372. https://doi.org/10.1111/j.1467-7687.2012.01138.x
• Scott, L. S. (2011). Face perception and perceptual expertise in adult and developmental populations. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199559053.013.0011
• Pierce, L. J., Scott, L. S., Boddington, S., Droucker, D., Curran, T., & Tanaka, J. W. (2011). The n250 brain potential to personally familiar and newly learned faces and objects. Frontiers in Human Neuroscience, 5. https://doi.org/10.3389/fnhum.2011.00111
• Scott, L. S. (2011). Mechanisms underlying the emergence of object representations during infancy. Journal of Cognitive Neuroscience, 23(10), 2935–2944. https://doi.org/10.1162/jocn_a_00019
• Scott, L. S., & Monesson, A. (2010). Experience-dependent neural specialization during infancy. Neuropsychologia, 48(6), 1857–1861. https://doi.org/10.1016/j.neuropsychologia.2010.02.008
• Monesson, A., & Scott, L. S. (2010). Perceptual development. In I. B. Weiner & W. E. Craighead (Eds.), The Corsini Encyclopedia of Psychology (1st ed., pp. 1–3). Wiley. https://doi.org/10.1002/9780470479216.corpsy0657
• Scott, L. S., & Monesson, A. (2009). The origin of biases in face perception. Psychological Science, 20(6), 676–680. https://doi.org/10.1111/j.1467-9280.2009.02348.x
• Scott, L.S., Tanaka, J.W., & Curran, T. (2009). “Degrees of perceptual expertise.” Chapter in D. Bub, M.J. Tarr, & I. Gauthier (Eds.) Perceptual Expertise: Bridging Brain and Behavior, Oxford University Press, pg. 107-138,  doi:10.1093/acprof:oso/9780195309607.003.0005
• Scott, L. S., Pascalis, O., & Nelson, C. A. (2007). A domain-general theory of the development of perceptual discrimination. Current Directions in Psychological Science, 16(4), 197–201. https://doi.org/10.1111/j.1467-8721.2007.00503.x
• Scott, L. S., Tanaka, J. W., Sheinberg, D. L., & Curran, T. (2006). A reevaluation of the electrophysiological correlates of expert object processing. Journal of Cognitive Neuroscience, 18(9), 1453–1465. https://doi.org/10.1162/jocn.2006.18.9.1453
• Scott, L. S., Shannon, R. W., & Nelson, C. A. (2006). Neural correlates of human and monkey face processing in 9‐month‐old infants. Infancy, 10(2), 171–186. https://doi.org/10.1207/s15327078in1002_4
• Scott, L. S., & Nelson, C. A. (2006). Featural and configural face processing in adults and infants: A behavioral and electrophysiological investigation. Perception, 35(8), 1107–1128. https://doi.org/10.1068/p5493
• Scott, L. S., Shannon, R. W., & Nelson, C. A. (2005). Behavioral and electrophysiological evidence of species-specific face processing. Cognitive, Affective, & Behavioral Neuroscience, 5(4), 405–416. https://doi.org/10.3758/CABN.5.4.405
• Pascalis, O., Scott, L. S., Kelly, D. J., Shannon, R. W., Nicholson, E., Coleman, M., & Nelson, C. A. (2005). Plasticity of face processing in infancy. Proceedings of the National Academy of Sciences, 102(14), 5297–5300. https://doi.org/10.1073/pnas.0406627102
• Scott, L.S., Luciana, M., Wewerka, S. & Nelson, C.A. (2005) Electrophysiological correlates of facial self-recognition in adults and children. Cognitie, Creier, Comportament (Romanian Journal- Translation: Cognition, Brain, Behavior), IX (2), 211-238.
• Scott, L.S., & Nelson, C.A., (2004). “The developmental neurobiology of face perception” Chapter in J.M. Oldman, & M.B Riba (Series Editors) Review of Psychiatry Series, Volume 23. American Psychiatric Publishing, Inc.
• DeBoer, T., Scott, L.S., & Nelson, C.A. (2004). “Event-related-potentials in developmental populations.” Chapter in T. Handy (Ed.). Event-Related Potentials: A Methods Handbook. Massachusetts: MIT Press.