The Caplovitz Lab is currently investigating behavioral and neural correlates of spatial attention and how it interacts with midlevel perceptual processes underlying perceptual organization and visual working memory. The lab combines phenomenalogical approaches with classic psychophysics and noninvasive neuroimaging techniques to empirically probe attentional mechanisms and determine how they influence what we see and how we experience the world around us.
Dr. Caplovitz is a cognitive neuroscientist who researches the principles and neural mechanisms that underlie how we visually experience the world. He received his Ph.D. in Cognitive Neuroscience from Dartmouth College and did postdoctoral training at Princeton University. He has over 15 years of pregraduate, graduate and postgradaute experience researching the brain using a combination of behavioral and noninvasive neuroimaging techniques. In addition, Dr. Caplovitz has formal training in computational mathematics with a Master's degree from the Courant Institute of Mathematical Sciences and has completed internships at the Naval Undersea Warfare Center, AT&T Bell Laboratories and Lucent Technologies. He has received funding for his research from the National Science Foundation and the National Institutes of Health and is currently an Associate Professor of Psychology in the Cognitive and Brain Science Graduate Program at the University of Nevada Reno.
Peterson DJ, Gurariy G, Dimotsantos GG, Arciniega H, Berryhill ME, Caplovitz GP (2014). The steadystate visual evoked potential reveals neural correlates of the items encoded into visual working memory. Neuropsychologia, 63, 145-153.
Reavis EA, Kohler PJ, Caplovitz GP, Wheatley TP, Tse PU (2013). Effects of attention on visual experience during monocular rivalry. Vision Research, 83(C), 76-81.
Blair CD, Caplovitz GP (2012). The effect of attention on context dependent synesthetic experiences. Seeing and Perceiving, 25(6), 619-629.
Hughes HC, Caplovitz GP, Loucks R, Fendrich R (2012). Attentive and PreAttentive Processes in Change Detection and Identification. PLoS One. 7(8).e42851.
Caplovitz GP, Shapiro AG, Stroud S (2011). The maintenance and disambiguation of object representations depend upon feature contrast within and between objects. Journal of Vision, 11(14). pii: 1 (2011).