Categorical Perception and the Evolution of Supervised Learning in Neural Nets

Abstract
Some of the features of animal and human categorical perception (CP) for color, pitch and speech are exhibited by neural net simulations of CP with one-dimensional inputs: When a backprop net is trained to discriminate and then categorize a set of stimuli, the second task is accomplished by "warping" the similarity space (compressing within-category distances and expanding between-category distances). This natural side-effect also occurs in humans and animals. Such CP categories, consisting of named, bounded regions of similarity space, may be the ground level out of which higher-order categories are constructed; nets are one possible candidate for the mechanism that learns the sensorimotor invariants that connect arbitrary names (elementary symbols?) to the nonarbitrary shapes of objects. This paper examines how and why such compression/expansion effects occur in neural nets.
Keywords No keywords specified (fix it)
Categories (categorize this paper)
Options
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index
 
Download options
PhilPapers Archive


Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 11,404
External links
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library
References found in this work BETA

No references found.

Citations of this work BETA
Similar books and articles
Stevan Harnad (2003). Categorical Perception. In L. Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group. 67--4.
Stevan Harnad (1990). The Symbol Grounding Problem. Philosophical Explorations 42:335-346.
Yasmina Jraissati (2012). Categorical Perception of Color. Croatian Journal of Philosophy 12 (3):439-462.
Analytics

Monthly downloads

Added to index

2010-12-22

Total downloads

9 ( #160,013 of 1,103,004 )

Recent downloads (6 months)

4 ( #84,821 of 1,103,004 )

How can I increase my downloads?

My notes
Sign in to use this feature


Discussion
Start a new thread
Order:
There  are no threads in this forum
Nothing in this forum yet.