Computational Neuroethology: A Call to Action

Sandeep Robert Datta, David J. Anderson, Kristin Branson, Pietro Perona, Andrew Leifer

Research output: Contribution to journalReview article

12 Scopus citations

Abstract

The brain is worthy of study because it is in charge of behavior. A flurry of recent technical advances in measuring and quantifying naturalistic behaviors provide an important opportunity for advancing brain science. However, the problem of understanding unrestrained behavior in the context of neural recordings and manipulations remains unsolved, and developing approaches to addressing this challenge is critical. Here we discuss considerations in computational neuroethology—the science of quantifying naturalistic behaviors for understanding the brain—and propose strategies to evaluate progress. We point to open questions that require resolution and call upon the broader systems neuroscience community to further develop and leverage measures of naturalistic, unrestrained behavior, which will enable us to more effectively probe the richness and complexity of the brain. The goal of computational neuroethology is to understand the relationship between the brain and purposive behavior that evolved under natural selection. Technology is transforming how we measure and model naturalistic behavior, affording new insight into brain function.

Original languageEnglish (US)
Pages (from-to)11-24
Number of pages14
JournalNeuron
Volume104
Issue number1
DOIs
StatePublished - Oct 9 2019

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

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    Datta, S. R., Anderson, D. J., Branson, K., Perona, P., & Leifer, A. (2019). Computational Neuroethology: A Call to Action. Neuron, 104(1), 11-24. https://doi.org/10.1016/j.neuron.2019.09.038