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Denis G. PelliPsychologyObject Recognition and Decision MakingGo to my homepage in Psychology.
"Explain, explain," grumbled Étienne. "If you people can't name something you're incapable of seeing it." How people recognize an object might seem trivial, because we do it so easily, but it has proven to be resistant to all attempts to understand and explain it. We have the hunch that there may be substantial similarities in the underlying algorithm of making a decision at any level, from identifying a letter to making social and economic decisions. We are creating a Decision Making Center at NYU to bring together researchers of decisions at all levels. Our past work has shown that letter identification begins with independent detection of features, and then integrates those features. We can say quite a bit about the feature detectors, and rather little about the feature integrator. Very briefly, the feature detectors are local in space and and spatial frequency, and have a tuning that scales in a nonlinear way with letter size. These results generalize to faces and line drawings of familiar objects. Currently we have had a minor breakthrough in understanding "crowding", which turns out to be feature integration over an inappropriately large area, and applies to all tasks in the peripheral visual field that require feature integration. This result has led to several quick successes in addressing old problems and seems to offer a window into the workings of the feature integration process. E-mail: denis.pelli@nyu.edu Selected Publications
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