Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Machine-learning approaches to classify and understand emotion states in mice

This is a preview of subscription content

Access options

Rent or Buy article

Get time limited or full article access on ReadCube.


All prices are NET prices.


  1. 1.

    Anderson DJ, Adolphs R. A framework for studying emotions across species. Cell 2014;157:187–200.

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Dolensek N, Gehrlach DA, Klein AS, Gogolla N. Facial expressions of emotion states and their neuronal correlates in mice. Science. 2020;368:89–94.

    CAS  Article  PubMed  Google Scholar 

  3. 3.

    Grill HJ, Norgren R. The taste reactivity test. I. Mimetic responses to gustatory stimuli in neurologically normal rats. Brain Res. 1978;143:263–79.

    CAS  Article  Google Scholar 

  4. 4.

    Langford DJ, et al. Coding of facial expressions of pain in the laboratory mouse. Nat Methods 2010;7:447–9.

    CAS  Article  PubMed  Google Scholar 

  5. 5.

    Goodwin NL, Nilsson SRO, Golden SA. Rage against the machine: advancing the study of aggression ethology via machine learning. Psychopharmacology. 2020.

  6. 6.

    Datta SR, Anderson DJ, Branson K, Perona P, Leifer A. Computational neuroethology: a call to action. Neuron 2019;104:11–24.

    CAS  Article  PubMed  Google Scholar 

Download references

Author information




ND and NG wrote this manuscript.

Corresponding author

Correspondence to Nadine Gogolla.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Dolensek, N., Gogolla, N. Machine-learning approaches to classify and understand emotion states in mice. Neuropsychopharmacol. 46, 250–251 (2021).

Download citation


Quick links