Literature DB >> 25277452

Toward a science of computational ethology.

David J Anderson1, Pietro Perona2.   

Abstract

The new field of “Computational Ethology” is made possible by advances in technology, mathematics, and engineering that allow scientists to automate the measurement and the analysis of animal behavior. We explore the opportunities and long-term directions of research in this area.

Mesh:

Year:  2014        PMID: 25277452     DOI: 10.1016/j.neuron.2014.09.005

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  122 in total

1.  Operant avoidance learning in crayfish, Orconectes rusticus: Computational ethology and the development of an automated learning paradigm.

Authors:  Rohan Bhimani; Robert Huber
Journal:  Learn Behav       Date:  2016-09       Impact factor: 1.986

Review 2.  Best behaviour? Ontologies and the formal description of animal behaviour.

Authors:  Georgios V Gkoutos; Robert Hoehndorf; Loukia Tsaprouni; Paul N Schofield
Journal:  Mamm Genome       Date:  2015-07-28       Impact factor: 2.957

3.  A data-driven method for reconstructing and modelling social interactions in moving animal groups.

Authors:  R Escobedo; V Lecheval; V Papaspyros; F Bonnet; F Mondada; C Sire; G Theraulaz
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-07-27       Impact factor: 6.237

4.  Mapping Sub-Second Structure in Mouse Behavior.

Authors:  Alexander B Wiltschko; Matthew J Johnson; Giuliano Iurilli; Ralph E Peterson; Jesse M Katon; Stan L Pashkovski; Victoria E Abraira; Ryan P Adams; Sandeep Robert Datta
Journal:  Neuron       Date:  2015-12-16       Impact factor: 17.173

5.  Systems Neuroscience of Natural Behaviors in Rodents.

Authors:  Emily Jane Dennis; Ahmed El Hady; Angie Michaiel; Ann Clemens; Dougal R Gowan Tervo; Jakob Voigts; Sandeep Robert Datta
Journal:  J Neurosci       Date:  2020-12-18       Impact factor: 6.167

6.  Development of site fidelity in the nocturnal amblypygid, Phrynus marginemaculatus.

Authors:  Jacob M Graving; Verner P Bingman; Eileen A Hebets; Daniel D Wiegmann
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2017-04-11       Impact factor: 1.836

7.  Automated gesture tracking in head-fixed mice.

Authors:  A Giovannucci; E A Pnevmatikakis; B Deverett; T Pereira; J Fondriest; M J Brady; S S-H Wang; W Abbas; P Parés; D Masip
Journal:  J Neurosci Methods       Date:  2017-07-17       Impact factor: 2.390

Review 8.  Foraging for foundations in decision neuroscience: insights from ethology.

Authors:  Dean Mobbs; Pete C Trimmer; Daniel T Blumstein; Peter Dayan
Journal:  Nat Rev Neurosci       Date:  2018-07       Impact factor: 34.870

9.  anTraX, a software package for high-throughput video tracking of color-tagged insects.

Authors:  Asaf Gal; Jonathan Saragosti; Daniel Jc Kronauer
Journal:  Elife       Date:  2020-11-19       Impact factor: 8.140

Review 10.  Diversity of molecularly defined spinal interneurons engaged in mammalian locomotor pattern generation.

Authors:  Lea Ziskind-Conhaim; Shawn Hochman
Journal:  J Neurophysiol       Date:  2017-08-30       Impact factor: 2.714

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