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Blair C. Armstrong's research primarily focuses on cognitive neural representations, processes, and the learning mechanisms underlying word comprehension and semantic memory. His work is aimed at developing theories related to the comprehension of ambiguous words and the similarities and differences between written and spoken word comprehension. He investigates how learning mechanisms lead to cross-linguistic differences in lexical processing, particularly how newly learned words are integrated into the lexical system. Complementing this work, Armstrong also explores decision response systems that engage word comprehension in perceptual tasks, focusing on creating explicit mechanistic accounts of cognitive systems. His research is tightly coordinated with computational modeling that utilizes biologically plausible connectionist networks, along with empirical investigations that employ a range of behavioral and electrophysiological techniques. He is also interested in computational algorithms designed to enhance experimental methodologies, including stimulus selection, speech onset detection, and data analysis.
Department of Sociology