CaltechAUTHORS
Published October 1, 2014 | Version public
Journal Article Metadata-only

Toward a Science of Computational Ethology

Creators

  • 1. ROR icon California Institute of Technology

Abstract

The new field of "Computational Ethology" is made possible by advances in technology, mathematics, and engineering that allow scientists to automate the measurement and the analysis of animal behavior. We explore the opportunities and long-term directions of research in this area.

Additional Information

© 2014 Elsevier B.V. Under an Elsevier user license. Available online 1 October 2014. The authors are grateful to the Moore Foundation, to an ONR MURI grant, and to Caltech Provost Ed Stolper for funding their research in this area. Conversations with Michael Dickinson and Kristin Branson were influential in forming many of the ideas that shaped this contribution. D.J.A. is an Investigator of the Howard Hughes Medical Institute and an Allen Distinguished Investigator. This work was supported in part by a grant from Gerald Fischbach and the Simons Foundation. D.J.A. thanks P.P. for introducing him to the joys of LaTeX.

Additional details

Identifiers

Eprint ID
50295
DOI
10.1016/j.neuron.2014.09.005
Resolver ID
CaltechAUTHORS:20141009-082919387

Related works

Describes
10.1016/j.neuron.2014.09.005 (DOI)

Funding

Gordon and Betty Moore Foundation
Office of Naval Research (ONR)
Caltech Provost Ed Stolper
Howard Hughes Medical Institute (HHMI)
Paul G. Allen Family Foundation
Gerald Fischbach
Simons Foundation

Dates

Created
2014-10-09
Created from EPrint's datestamp field
Updated
2021-11-10
Created from EPrint's last_modified field