Results in hand tell us that letter identification is mediated by features (Pelli, Burns, Farell, and Moore, 1996). The features are bandlimited, with the same tuning as a spatial-frequency channel (Solomon and Pelli, 1994), and they are simple (Pelli, et al., 1966). This is consistent with the popular idea that features are like oriented center-surround receptive fields, or wavelets. We propose to: to use critical band masking in space and spatial frequency to identify the features that mediate visual detection and identification to use the candidate features to model letter identification performance with artificial and traditional alphabets. One reason for confidence in the success of this approach is that we have already succeeded in modeling word identification performance, taking letters as candidate features, showing that human performance approaches but never exceeds the performance of an otherwise-ideal observer that must base its decisions on independent latter identifications. Taking features to be smaller than a letter will bring the upper bound still lower making an even more stringent test. Exceeding that bound would disprove the conjecture that human performance is mediated by independent decisions on that set of features. Three other projects will use letters and noise to: characterize the channel mediating the poor acuity in amblyopic and normal fovea and periphery; (Pilot data indicate that our last-channel hypothesis may explain letter acuity.) measure equivalent noise in the periphery and compare it with predictions based on physiological measurements of ganglion cell noise; make fMRI measurements of contrast response paralleling our measure of efficiency of letter identification.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY004432-16
Application #
2684485
Study Section
Visual Sciences B Study Section (VISB)
Project Start
1982-07-01
Project End
2002-03-31
Budget Start
1998-04-01
Budget End
1999-03-31
Support Year
16
Fiscal Year
1998
Total Cost
Indirect Cost
Name
New York University
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
004514360
City
New York
State
NY
Country
United States
Zip Code
10012
Rosen, Sarah; Pelli, Denis G (2015) Crowding by a repeating pattern. J Vis 15:10
Song, Shuang; Levi, Dennis M; Pelli, Denis G (2014) A double dissociation of the acuity and crowding limits to letter identification, and the promise of improved visual screening. J Vis 14:3
Rosen, Sarah; Chakravarthi, Ramakrishna; Pelli, Denis G (2014) The Bouma law of crowding, revised: critical spacing is equal across parts, not objects. J Vis 14:10
Pelli, Denis G; Cavanagh, Patrick (2013) Object recognition: visual crowding from a distance. Curr Biol 23:R478-9
Suchow, Jordan W; Pelli, Denis G (2013) Learning to detect and combine the features of an object. Proc Natl Acad Sci U S A 110:785-90
Pelli, Denis G; Bex, Peter (2013) Measuring contrast sensitivity. Vision Res 90:10-4
Dubois, Matthieu; Poeppel, David; Pelli, Denis G (2013) Seeing and hearing a word: combining eye and ear is more efficient than combining the parts of a word. PLoS One 8:e64803
Freeman, Jeremy; Chakravarthi, Ramakrishna; Pelli, Denis G (2012) Substitution and pooling in crowding. Atten Percept Psychophys 74:379-96
Chakravarthi, Ramakrishna; Pelli, Denis G (2011) The same binding in contour integration and crowding. J Vis 11:
Pelli, Denis G; Majaj, Najib J; Raizman, Noah et al. (2009) Grouping in object recognition: the role of a Gestalt law in letter identification. Cogn Neuropsychol 26:36-49

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