Assistant Professor of Psychological & Brain Sciences
(812) 855-4635
jgold@indiana.edu

See also:
personal homepage
IU Department of Psychological & Brain Sciences Vision Lab

Education
Ph.D., University of Toronto, 2001
Research Interests
One of the most important abilities we possess is our capacity to detect, discriminate and identify objects in our environment. It is difficult to imagine navigating through the world without the ability to reliably detect objects in our path; or having social interactions without the ability to recognize other people's faces. These are tasks that we perform with ease and on a continual basis every day. But how does our visual system translate the array of light that reaches our eyes into an organized representation of meaningful objects embedded within complex scenes? My research is directed towards understanding some of these processes that are performed on visual patterns after the initial stages of sensory encoding. I am particularly interested in understanding what it is that limits our ability to use the information that is available to us when we are trying to detect or recognize visual patterns. My approach typically involves the use of a variety of psychophysical and signal-processing methods (such as ideal observer analysis and signal detection theory) to quantitatively characterize the mechanisms involved in various perceptual processes, such as perceptual learning, visual completion, face recognition and visual memory decay.
Representative Publications
The following selection of representative publications is listed in inverse chronological order:

Gold, J.M., Murray, R.F., Bennett, P.J. & Sekuler, A.B. (2000). Deriving behavioral receptive fields for visually completed contours.
Current Biology (10), 663-666.

Gold, J., Bennett, P.J. & Sekuler, A.B. (1999). Signal but not noise changes with perceptual learning.
Nature (402), 176-178.

Gold, J.M., Bennett, P.J. & Sekuler, A.B. (1999). Identification of band-pass filtered faces and letters by human and ideal observers.
Vision Research (39), 3537-3560.


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