My research involves describing how human memory operates within the framework of computational models. I focus on episodic memory, or memory tied to a specific situation, and associative memory, or memory for the relationship between two items. My interests also include semantic knowledge and implicit memory. I approach the study of human memory by identifying specific predictions or assumptions underlying computational models and designing empirical tests to evaluate these predictions. When a paradigm has not been formalized within the framework of a model, my empirical studies are designed with the goal of extending a model to account for the phenomenon. In addition to behavioral studies, I’ve also conducted fMRI studies and use both of these empirical approaches to test memory models.

Criss, A. H. (2006). The consequences of differentiation in episodic memory: Similarity and the strength based mirror effect. Journal of Memory & Language: Special Issue on Computational Models of Memory, 55(4), 461-478.

Criss, A. H. and McClelland, J.L. (2006). Differentiating the differentiation models: A comparison of the retrieving effectively from memory model (REM) and the subjective likelihood model (SLiM). Journal of Memory & Language: Special Issue on Computational Models of Memory, 55(4), 447-460.

Criss, A.H. and Shiffrin, R.M. (2005). List discrimination and representation in associative recognition. Journal of Experimental Psychology: Learning, Memory, & Cognition, 31(6), 1199-1212.

Criss, A.H. and Shiffrin, R.M. (2004).  Context noise and item noise jointly determine recognition memory: A comment on Dennis & Humphreys (2001). Psychological Review, 111(3), 800-807.

Dr. Criss' web page.