Currently, Shiffrin is working exploring rational game theory and the co-evolution of event memory and knowledge, as well as collaborating with other lab members on their own projects.

His research interests are quite broad, more or less covering the fields of Cognitive Science and Psychology. Generally speaking the research involves empirical studies and quantitative and computational modeling of the results.

Areas of Study: Cognitive Science

Research Topics

  • Cognition and modeling of cognition
  • Machine learning
  • Computational Statistics
  • Learning
  • Memory
  • Sensory coding
  • Information retrieval
  • Attention and automatism
  • Organization and structore of memory
  • Control processes in memory
  • Decision theory
  • Optimal decision making
  • Rationality and reasoning
  • Vision processing and visual features
  • Psychological representation, mathematical and computer models of the various content areas listed above.

I am interested in mathematical and computer simulation models of memory, learning, retrieval, attention, limited capacity, automatism, and perception, and empirical research to test and develop these models.

In recent years I have paid particular interest to memory retrieval, and have contrasted traditional models with parallel, distributed, composite models, and a new model based on Bayesian optimal retrieval.

Another major line of work involves limited capacity in human information processing (both in memory and perception) and ways in which the development of automatic processes allow such attentional limitations to be overcome. This work is carried out largely in the domains of visual and memory search tasks.

Other current research involves the learning of word and letter units, perception and recognition, and the modeling of processes underlying response times in attention and memory tasks.

Research Interests

  • role of intergroup emotions (emotions experienced with respect to one's collective self as a group member) in prejudice and intergroup relations; New conceptualizations of cognition as situated and embodied and their implications for social cognition; Connectionist or neural network models in social psychology; Social cognition in general, particularly the nature of mental representations of persons and groups and their effects on social judgments, including person perception and stereotyping

Subject Area

  • Psychological and Brain Sciences
Past Affiliations
Neuroscience, Statistics, Cognitive Science, Psychology
PhD, Stanford University, Experimental and Mathematical Psychology, 1968
BA, Yale University, Mathematics, 1964
australia netherlands psychology human learning and memory probability