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              Perceptual Development and Learning:
 From Behavioral, Neurophysiological, and Morphological Evidence
                    To Computational Models

                       Vasant Honavar
                Computer Sciences Department
               University of Wisconsin-Madison
	   Computer Sciences TR # 818, January 1989

                          Abstract

     An intelligent system has to be capable  of  adapting  to  a
constantly  changing environment. It therefore, ought to be capa-
ble of learning from its perceptual interactions  with  its  sur-
roundings.   This  requires a certain amount of plasticity in its
structure.  Any attempt to model the perceptual capabilities of a
living  system or, for that matter, to construct a synthetic sys-
tem of comparable abilities, must  therefore,  account  for  such
plasticity  through  a  variety  of  developmental  and  learning
mechanisms. This paper examines some results  from  neuroanatomi-
cal, morphological, as well as behavioral studies of the develop-
ment of visual perception; integrates them into  a  computational
framework; and suggests several interesting experiments with com-
putational models that can yield insights into the development of
visual perception.

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Requests for copies must be addressed to: honavar at cs.wisc.edu