Anderson, David J. and Perona, Pietro (2014) Toward a Science of Computational Ethology. Neuron, 84 (1). pp. 18-31. ISSN 0896-6273. http://resolver.caltech.edu/CaltechAUTHORS:20141009-082919387
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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. 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.|
|Official Citation:||David J. Anderson, Pietro Perona, Toward a Science of Computational Ethology, Neuron, Volume 84, Issue 1, 1 October 2014, Pages 18-31, ISSN 0896-6273, http://dx.doi.org/10.1016/j.neuron.2014.09.005. (http://www.sciencedirect.com/science/article/pii/S0896627314007934)|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Tony Diaz|
|Deposited On:||09 Oct 2014 21:23|
|Last Modified:||09 Oct 2014 21:23|
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