Brainprint: Identifying Individuals Based on the Neural Correlates of Reading Processes


A series of news articles focused on my collaborative work with Professor Sarah Laszlo's research group at SUNY Binghamton, in which we studied how different classification methods can be used to uniquely identify individuals based on ERPs collected during reading. A sample of these articles follows:



Ambiguous Word Comprehension

A press release by GUK (April, 2014) focused on my work in computational cognitive neuroscience and ambiguous word comprehension.







An artificial Judge for the Turing Test / Corpus-based Lexical-semantic knowledge

An article in h+ Magazine (March, 2009) featured work that I co-authored and that was related to the development of an Artificial Critic for Humanness based on word co-occurrence statistics (MacInnes, Armstrong, et al. 2009; 2nd runner up for the Kurzweil prize at the 2009 Artificial General Intelligence Conference).