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Selectivity of Inferior Temporal Neurons for Realistic Pictures Predicted by Algorithms for Image Database Navigation
 

Summary: Selectivity of Inferior Temporal Neurons for Realistic Pictures Predicted by
Algorithms for Image Database Navigation
Sarah Allred, Yan Liu, and Bharathi Jagadeesh
Departments of Physiology and Biophysics, University of Washington, Seattle, Washington
Submitted 3 February 2005; accepted in final form 14 August 2005
Allred, Sarah, Yan Liu, and Bharathi Jagadeesh. Selectivity of
inferior temporal neurons for realistic pictures predicted by algorithms
for image database navigation. J Neurophysiol 94: 40684081, 2005.
First published August 24, 2005; doi:10.1152/jn.00130.2005. Pri-
mates have a remarkable ability to perceive, recognize, and discrim-
inate among the plethora of people, places, and things that they see,
and neural selectivity in the primate inferotemporal (IT) cortex is
thought to underlie this ability. Here we investigated the relationship
between neural response and perception by recording from IT neurons
in monkeys while they viewed realistic images. We then compared the
similarity of neural responses elicited by images to the quantitative
similarity of the images. Image similarity was approximated using
several algorithms, two of which were designed to search image
databases for perceptually similar images. Some algorithms for image
similarity correlated well with human perception, and these algo-

  

Source: Allred, Sarah - Department of Psychology, University of Pennsylvania

 

Collections: Biology and Medicine