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I am a Ph.D. student in the department of Psychology at Arizona State University. My research interests include memory and language representation, neural network modeling, effects of ageing and Alzheimer's disease, and multivariate analysis methods for fMRI.

I am currently conducting my dissertation research at NIH. I am pursuing the application of large-scale neurobiologically realistic models to the problem of multi-modal information integration (including prior experience) mediated through top-down and bottom-up attention. Specifically, I am developing a model of selective and divided attention during delayed-match-to-sample and paired associates tasks. A large amount of data exists in the literature on this topic, at many different spatio-temporal levels of analysis including single cell recordings in animals, EEG and MEG, fMRI, PET, and behavioral measures. Large-scale neurobiologically realistic models are an attempt to combine these multiple levels of analysis to inform a single theory; in this case of multi-modal integration.

My Masters thesis examined a new perspective on evaluating computational simulations and variables in written word recognition. Evaluating popular models of word recognition suggests that we may need to rethink the simplistic view of orthography to phonology conversion and its role in word recognition. Multivariate analysis of several phonology variables from a novel experiment also leads to the same conclusion.