Published October 1, 2014
| public
Journal Article
Toward a Science of Computational Ethology
- Creators
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Anderson, David J.
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Perona, Pietro
Chicago
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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
- Eprint ID
- 50295
- DOI
- 10.1016/j.neuron.2014.09.005
- Resolver ID
- CaltechAUTHORS:20141009-082919387
- 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
- Created
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2014-10-09Created from EPrint's datestamp field
- Updated
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2021-11-10Created from EPrint's last_modified field