Systems Neuroscience of Natural Behaviors in Rodents
Name
911.full.pdf
Description
Published version
Size
941.63 KB
Format
Adobe PDF
Checksum (MD5)
690e05afff79e051abde6a8a759ad37a
Author(s)
Dennis, Emily Jane
El Hady, Ahmed
Michaiel, Angie
Clemens, Ann
Tervo, Dougal R Gowan
Voigts, Jakob
Datta, Sandeep Robert
Date Issued
February 3, 2021
Journal
The Journal of Neuroscience
Publisher
Society for Neuroscience
Citation
Emily Jane Dennis, Ahmed El Hady, Angie Michaiel, Ann Clemens, Dougal R. Gowan Tervo, Jakob Voigts, Sandeep Robert Datta, Journal of Neuroscience 3 February 2021, 41 (5) 911-919.
Version
Final published version
Abstract
Animals evolved in complex environments, producing a wide range of behaviors, including navigation, foraging, prey capture, and conspecific interactions, which vary over timescales ranging from milliseconds to days. Historically, these behaviors have been the focus of study for ecology and ethology, while systems neuroscience has largely focused on short timescale behaviors that can be repeated thousands of times and occur in highly artificial environments. Thanks to recent advances in machine learning, miniaturization, and computation, it is newly possible to study freely moving animals in more natural conditions while applying systems techniques: performing temporally specific perturbations, modeling behavioral strategies, and recording from large numbers of neurons while animals are freely moving. The authors of this review are a group of scientists with deep appreciation for the common aims of systems neuroscience, ecology, and ethology. We believe it is an extremely exciting time to be a neuroscientist, as we have an opportunity to grow as a field, to embrace interdisciplinary, open, collaborative research to provide new insights and allow researchers to link knowledge across disciplines, species, and scales. Here we discuss the origins of ethology, ecology, and systems neuroscience in the context of our own work and highlight how combining approaches across these fields has provided fresh insights into our research. We hope this review facilitates some of these interactions and alliances and helps us all do even better science, together.
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1523/JNEUROSCI.1877-20.2020
