Owl's behavior and neural representation predicted by Bayesian inference

Brian J. Fischer, José Luis Peña

Research output: Contribution to journalArticle

64 Scopus citations

Abstract

The owl captures prey using sound localization. In the classical model, the owl infers sound direction from the position of greatest activity in a brain map of auditory space. However, this model fails to describe the actual behavior. Although owls accurately localize sources near the center of gaze, they systematically underestimate peripheral source directions. We found that this behavior is predicted by statistical inference, formulated as a Bayesian model that emphasizes central directions. We propose that there is a bias in the neural coding of auditory space, which, at the expense of inducing errors in the periphery, achieves high behavioral accuracy at the ethologically relevant range. We found that the owl's map of auditory space decoded by a population vector is consistent with the behavioral model. Thus, a probabilistic model describes both how the map of auditory space supports behavior and why this representation is optimal.

Original languageEnglish (US)
Pages (from-to)1061-1066
Number of pages6
JournalNature Neuroscience
Volume14
Issue number8
DOIs
StatePublished - Aug 1 2011

ASJC Scopus subject areas

  • Neuroscience(all)

Fingerprint Dive into the research topics of 'Owl's behavior and neural representation predicted by Bayesian inference'. Together they form a unique fingerprint.

  • Cite this