Adaptation and unsupervised learning.
Peter Dayan Maneesh Sahani
Gregoire Deback
NIPS 2002.
Abstract
Adaptation is a ubiquitous neural and psychological phenomenon, with
a wealth of instantiations and implications. Although a basic form
of plasticity, it has, bar some notable exceptions, attracted
computational theory of only one main variety. In this paper, we
study adaptation from the perspective of factor analysis, a
paradigmatic technique of unsupervised learning. We use factor
analysis to re-interpret a standard view of adaptation, and apply
our new model to some recent data on adaptation in the domain of
face discrimination.
pdf