Toward a science of computational ethology.

By David J. Anderson, Pietro Perona. Neuron, 2014

491 citations recorded by the source corpus.

Subfields: Ecological Modeling, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/8fe88073992865e36165d289f79a021f2c2dc011

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Citations in the corpus

Describing Common Human Visual Actions in Images (2015, background): “It has been pointed out that one may distinguish between ‘movemes’, ‘actions’, and ‘activities’ [1, 3] depending on structure, complexity, and duration.”
The minority report: some common assumptions to reconsider in the modelling of the brain and behaviour (2016, background): “…for: ‘Given these complexities, it is not surprising that a general, computationally sound approach to describing behaviour using conventional descriptors has not yet emerged, since it is unlikely to be manageable “by hand” (as, for instance, ethograms are)’ (Anderson & Perona, 2014, p. 28).”
Computational neuroethology: a call to action (2019, background): “…‘‘primitives,’’ and ‘‘movemes’’), labeling behaviors on a moment-to-moment basis is made complicated by spatial and temporal variability in the execution of each behavior (Anderson and Perona, 2014; Berman et al., 2014; Flash and Hochner, 2005; Tinbergen, 1951; Wiltschko et al., 2015).”
Neuroscience Needs Behavior: Correcting a Reductionist Bias. (2017, unknown): “…(Anderson and Perona, 2014), they will not lead to the detailed functional analyses of ethological behavior, its developmental trajectory, and its evolutionary basis that are necessary for appropriately constrained implementation-level theories. or at best postponed (Anderson and Perona, 2014).”
Does the field of animal personality provide any new insights for behavioral ecology (2017, methodology): “2013; Anderson and Perona 2014) further remove the need for a priori labels and, with their increased usage, will render arbitrary divisions among behaviors or groups of behaviors irrelevant.”
Mapping Sub-Second Structure in Mouse Behavior. (2015, background): “Mouse Body Language: Syllables and Grammar Candidate behavioral modules have been recognized in a variety of different contexts and on a wide range of spatiotemporal scales, and accordingly, researchers have given them a diverse set of names, including motor primitives, behavioral motifs, motor syne”
Fast animal pose estimation using deep neural networks (2018, methodology): “Human classification of behavior is slow and subject to bias 1,2 , but speed can be increased through automation 1 including meth-ods to track and analyze animal centroids and shapes over time 3–5 , machine learning techniques for identifying user-defined behaviors such as fighting and courting 6,7…”