David Fencsik - Research

David Fencsik


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Research

Currently, the focus of my research is visual processing. I study how the visual system extracts, filters, and stores the information constantly impinging on our eyes. Previously, I have worked on studies of the executive control mechanisms that supervise performance of multiple tasks simultaneously, and the processes that detect and respond to errors in rapid decision making.

Below are brief summaries of projects on which I have worked, along with links to further information on those projects.

Visual Working Memory

In this project, my collaborators and I study short-term retention of visual information. In the long-run, we want to know how the visual system encodes information into memory, what format is stored there, how the information is retained, and how it is retrieved when needed.

Towards this end, we have developed a theory of visual working memory (WM) that allows us to derive precise, quantitative predictions about performance in a variety of experimenal tasks. So far, we have applied it to a visual change-detection task, and the actual data is remarkably consistent with our predictions.

The theory allows us to estimate the capacity of visual WM for various types of information. We have found that people are able to retain about three object files, each containing both featural and location information for one object bound together. Our results generally provide strong evidence for object-based storage in visual WM.

Further information:

  • My dissertation described the model and four experiments that tested its predictions. I have converted the dissertation into a manuscript, currently in the review/revision process: I can send you a recent draft if you email me.
  • I presented a poster on this topic at the 2002 meeting of the Psychonomics Society.
  • The DEMOS page has sample trials from a change-detection task.
  • My collaborators on this project include current and former members of David Meyer's Brain, Cognition, and Action Laboratory at the University of Michigan.

More to come...


Last Modified: October 19, 2005