A challenge in translational research is comparing behaviors across species. A new study combines a novel behavioral paradigm in rats and humans with reinforcement learning to infer shared computations for goal-directed navigation.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
We are sorry, but there is no personal subscription option available for your country.
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Finlay, B. L., Hinz, F. & Darlington, R. B. Philos. Trans. R. Soc. Long. B. Biol. Sci. 366, 2111–2123 (2011).
Buzsáki, G. & Moser, E. I. Nat. Neurosci. 16, 130–138 (2013).
Ekstrom, A. D. et al. Nature 425, 184–188 (2003).
O’Keefe, J. & Dostrovsky, J. Brain Res. 34, 171–175 (1971).
de Cothi, W. et al. Curr Biol 32, 3676–3689.e5 (2022).
Gershman, S. J. J. Neurosci. 38, 7193–7200 (2018).
Stachenfeld, K. L., Botvinick, M. M. & Gershman, S. J. Nat. Neurosci. 20, 1643–1653 (2017).
Momennejad, I. et al. Nat. Hum. Behav. 1, 680–692 (2017).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
Gonzalez, A., Giocomo, L.M. From Rats to Humans: how novel behavioral paradigms and reinforcement learning can bridge the gap in translation. Lab Anim 51, 289–290 (2022). https://doi.org/10.1038/s41684-022-01077-x
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41684-022-01077-x