In Press

Zhang, Y., Jaffe-Dax, S., Wilson, R., & Emberson, L.L. (accepted pending minor revision). Prediction in infants and adults: A pupillometry study, Developmental Science.

2018

Boldin, A., Geiger, R. & Emberson, L. L. (2018). The Emergence of Top-Down, Sensory Prediction During Learning in Infancy: A Comparison of Full-term and Preterm Infants, Developmental Psychobiology, 60(5), 544-556. [PDF]

Reuter, T., Emberson, L. L., Romberg, A., & Lew-Williams, C. (2018). Individual differences in nonverbal prediction and vocabulary size in infancy, Cognition, 176, 215-219. [PDF]

2017

Kersey, A. J., & Emberson, L. L. (2017). Tracing trajectories of audio-visual learning in the infant brain, Developmental Science, 1-13. [PDF]

Karuza, E. A., Emberson, L. L., Roser, M.,  Aslin, R. N., Cole, D., & Fiser, J. (2017). Neural signatures of spacial and statistical learning: Characterizing the extraction of structure from complicit visual scenes. Journal of Cognitive Neuroscience, 29(12): 1963-1976.  [PDF]

Zinszer, B. D., Bayet, L., Emberson, L. L., Raizada, R. D. S., & Aslin, R. N. (2017). Decoding semantic representations from functional near inferred spectroscopy signals. Neurophotonics: sfNIRS 2019 Special Issue 5(1): 011003. [PDF]

Emberson, L. L., Rizzieri, A., & Aslin, R. N. (2017) How Visual is Visual Prediction? Infancy, 22(6): 748-761. [PDF]

Emberson, L. L., Zinszer B. D., Raizaza, R. D. S., & Aslin, R. N. (2017). Decoding the Infant Mind: Multichannel Pattern Analysis (MCPA) using fNIRS, PLoS One, 12(4): e0172500. [PDF]

Emberson, L. L., Crosswhite, S. L., Richards, J. E., & Aslin, R. N. (2017). The Lateral Occipital Cortex Is Selective for Object Shape, Not Texture, at 6 Months, The Journal of Neuroscience, 37(13): 3698-3703. [PDF]

Emberson, L. L. (2017). How does experience shape early development? Considering the role of top-down mechanisms. In Janette Benson (Ed.), Advances in Child Development and Behavior, Vol. 52. Elsevier Publishing. (Email Lauren Emberson to request a copy).

Emberson, L. L., Boldin, A., Riccio, J. E., Guillet, R., & Aslin, R. N. (2017). Deficits in Top-Down, Sensory Prediction in Infants At-Risk due to Premature Birth. Current Biology, 27, 1-6. [PDF]

Emberson, L. L., Palmeri, H., Cannon, G., Richards, J. E., & Aslin, R. N. (2017). Using fNIRS to examine occipital and temporal responses to repetition in young infants: Evidence of selective frontal cortex involvement, Developmental Cognitive Neuroscience, 23, 26-38.[PDF]

2016

Emberson, L. L., Lewkowicz, D. J., & Bavelier, D. (2016). Perceptual Development. Encyclopedia of Theory in Psychology. Ed. Harold Miller. [PDF]

Emberson, L. L. (2016). Gaining knowledge mediates changes in perception (without differences in attention): A case for perceptual learning. Commentary on Firestone & School for Brain and Behavioral Sciences. [HTML]

Goodwin, J. R., Cannaday, A. E., Palmeri, H., Di Costanzo, A., Emberson, L. L., Aslin, R. N., & Berger, A. J. (2016). Methodology for high-yield acquisition of functional near-infrared spectroscopy data from alert, upright infants. Neurophotonics, 3(3), 031415. [PDF]

Emberson, L. L., & Rubinstein, D. (2016). Statistical learning is constrained to less abstract patterns in complex sensory input (but not the least). Cognition153, 63-78. [PDF]

Emberson, L. L., Crosswhite, S. L., Goodwin, J. R., Berger, A. J., & Aslin, R. N. (2016). Isolating the effects of systemic vasculature in infant neuroimagin experiments using short distance optical channels: A combination of local and global effects. Neurophotonics, 3(3), 031406. [PDF]

2015

Emberson, L. L., Richards, J. E., & Aslin, R. N. (2015). Top-down modulation in the infant brain: Learning-induced expectations rapidly affect the sensory cortex at 6 months. Proceedings of the National Academy of Sciences , 112 (31), 9585–9590. [PDF]

Aslin, R.N., Shukla, M., Emberson, L.L. (2015). Hemodynamic Correlates of Cognition in Human Infants. Annu. Rev. Psychol. 66:349–79. First published online as a Review in Advance on September 22, 2014. [PDF]

2014

Karuza, E. A.⋆, Emberson, L. L.⋆ & Aslin, R. N. (2014). Invited Review: Combining fMRI and Behavioral Measures to Examine the Process of Human Learning. Neurobiology of Learning and Memory, 109, 193-206. [PDF]
⋆ these authors contributed equally to this publication

2013

Emberson, L. L., Liu, R., & Zevin, J. D. (2013). Finding Functional Units Amidst Perceptual Variability: or How is Statistical Learning Accomplished Using Varying Exemplars of Novel, Complex Sound Categories? Cognition, 128: 82-102[PDF]

2012

Emberson, L. L. & Amso, D. (2012). Learning to Sample: Eye Tracking and fMRI Indices of Changes in Object Perception. Journal of Cognitive Neuroscience. 24:2030-2042[PDF]

2011

Emberson, L. L., Conway, C. M., & Christiansen, M. H. (2011). Timing is everything: Changes in Presentation Rate have Opposite Effects on Auditory and Visual Implicit Statistical Learning. Quarterly Journal of Experimental Psychology, 64:1021-1040[PDF]

2010

Emberson, L. L., & Rubinstein, D. (2010). Learning from Environmental Regularities is Grounded in Specific Objects not Abstract Categories. In S. Ohlsson and R. Catrambone (Eds.), Proceedings for the 32nd Annual Conference of the Cognitive Science Society, (p. 2518-2523). Austin, TX: Cognitive Science Society. [PDF]

2009

Emberson, L. L., Liu, R., & Zevin, J. D. (2009). Statistics All the Way Down: How is Statistical Learning Accomplished Using Novel, Complex Sound Categories? In N. Taatgen and H. van Rijn (Eds.), Proceedings of the 31st Annual Meeting of the Cognitive Science Society. (p. 995-1000). Austin, TX: Cognitive Science Society. [PDF]

2008

Emberson, L. L., Weiss, R. J., Barbosa, A. V., Vatikiotis-Bateson, E., & Spivey, M. J. (2008).  Crossed hands curve saccades: Multisensory dynamics in saccade trajectories. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 369-374). Austin, TX: Cognitive Science Society. [PDF]

Doesburg, S. Emberson, L. L., Rahi, A., Cameron, D., & Ward, L. M. (2008). Asynchonry from synchrony: Long-range gamma-band neural synchrony accompanies perception of audiovisual asynchrony in speech. Experimental Brain Research, 185, 11-20. [PDF]