Literature DB >> 32901118

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

Nejc Dolensek1,2, Nadine Gogolla3.   

Abstract

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Year:  2021        PMID： 32901118      PMCID： PMC7688650          DOI： 10.1038/s41386-020-00857-8

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN： 0893-133X            Impact factor:   7.853


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  4 in total

1.  Coding of facial expressions of pain in the laboratory mouse.

Authors:  Dale J Langford; Andrea L Bailey; Mona Lisa Chanda; Sarah E Clarke; Tanya E Drummond; Stephanie Echols; Sarah Glick; Joelle Ingrao; Tammy Klassen-Ross; Michael L Lacroix-Fralish; Lynn Matsumiya; Robert E Sorge; Susana G Sotocinal; John M Tabaka; David Wong; Arn M J M van den Maagdenberg; Michel D Ferrari; Kenneth D Craig; Jeffrey S Mogil
Journal:  Nat Methods       Date:  2010-05-09       Impact factor: 28.547

Review 2.  Computational Neuroethology: A Call to Action.

Authors:  Sandeep Robert Datta; David J Anderson; Kristin Branson; Pietro Perona; Andrew Leifer
Journal:  Neuron       Date:  2019-10-09       Impact factor: 17.173

3.  Facial expressions of emotion states and their neuronal correlates in mice.

Authors:  Nate Dolensek; Daniel A Gehrlach; Alexandra S Klein; Nadine Gogolla
Journal:  Science       Date:  2020-04-03       Impact factor: 47.728

Review 4.  A framework for studying emotions across species.

Authors:  David J Anderson; Ralph Adolphs
Journal:  Cell       Date:  2014-03-27       Impact factor: 41.582
  4 in total

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