Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published October 31, 2018 | Published
Journal Article Open

Algorithms for Olfactory Search across Species

Abstract

Localizing the sources of stimuli is essential. Most organisms cannot eat, mate, or escape without knowing where the relevant stimuli originate. For many, if not most, animals, olfaction plays an essential role in search. While microorganismal chemotaxis is relatively well understood, in larger animals the algorithms and mechanisms of olfactory search remain mysterious. In this symposium, we will present recent advances in our understanding of olfactory search in flies and rodents. Despite their different sizes and behaviors, both species must solve similar problems, including meeting the challenges of turbulent airflow, sampling the environment to optimize olfactory information, and incorporating odor information into broader navigational systems.

Additional Information

© 2018 the authors. Beginning six months after publication the Work will be made freely available to the public on SfN's website to copy, distribute, or display under a Creative Commons Attribution 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/). Received Aug. 8, 2018; revised Sept. 15, 2018; accepted Sept. 18, 2018. The authors declare no competing financial interests.

Attached Files

Published - 9383.full.pdf

Files

9383.full.pdf
Files (648.3 kB)
Name Size Download all
md5:55d57382e19aa0acad6a707f658931ad
648.3 kB Preview Download

Additional details

Created:
September 15, 2023
Modified:
October 23, 2023