English

Maximally Informative Observables and Categorical Perception

Machine Learning 2012-12-21 v1 Sound

Abstract

We formulate the problem of perception in the framework of information theory, and prove that categorical perception is equivalent to the existence of an observable that has the maximum possible information on the target of perception. We call such an observable maximally informative. Regardless whether categorical perception is real, maximally informative observables can form the basis of a theory of perception. We conclude with the implications of such a theory for the problem of speech perception.

Keywords

Cite

@article{arxiv.1212.5091,
  title  = {Maximally Informative Observables and Categorical Perception},
  author = {Elaine Tsiang},
  journal= {arXiv preprint arXiv:1212.5091},
  year   = {2012}
}

Comments

9 pages, 1 figure

R2 v1 2026-06-21T22:58:05.464Z