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Unsupervised identification of the internal states that shape natural behavior

Calhoun, Adam J ; Pillow, Jonathan W ; Murthy, Mala

Nature neuroscience, 2019-12, Vol.22 (12), p.2040-2049 [Periódico revisado por pares]

United States: Nature Publishing Group

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Título:
Unsupervised identification of the internal states that shape natural behavior
Autor: Calhoun, Adam J ; Pillow, Jonathan W ; Murthy, Mala
Assuntos: Analysis ; Animal behavior ; Animals ; Behavior ; Courtship ; Cues ; Decision making ; Drosophila ; Drosophila melanogaster ; Feedback ; Female ; Females ; Fruit flies ; Generalized linear models ; Identification methods ; Insects ; Male ; Males ; Models, Psychological ; Nervous system ; Neural circuitry ; Neurons ; Neurons - physiology ; Neurosciences ; Optogenetics ; Patterning ; Probability ; Sensorimotor system ; Sensory perception ; Social behavior in animals ; Social factors ; Vocalization, Animal - physiology
É parte de: Nature neuroscience, 2019-12, Vol.22 (12), p.2040-2049
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content type line 23
A.J.C. and M.M. designed the study. A.J.C. collected new data (wild-type data analyzed in this study were collected for a previous study24.) A.J.C. and J.W.P designed the models. A.J.C. analyzed the data and generated the figures. A.J.C., J.W.P. and M.M. wrote the paper.
Author Contributions
Descrição: Internal states shape stimulus responses and decision-making, but we lack methods to identify them. To address this gap, we developed an unsupervised method to identify internal states from behavioral data and applied it to a dynamic social interaction. During courtship, Drosophila melanogaster males pattern their songs using feedback cues from their partner. Our model uncovers three latent states underlying this behavior and is able to predict moment-to-moment variation in song-patterning decisions. These states correspond to different sensorimotor strategies, each of which is characterized by different mappings from feedback cues to song modes. We show that a pair of neurons previously thought to be command neurons for song production are sufficient to drive switching between states. Our results reveal how animals compose behavior from previously unidentified internal states, which is a necessary step for quantitative descriptions of animal behavior that link environmental cues, internal needs, neuronal activity and motor outputs.
Editor: United States: Nature Publishing Group
Idioma: Inglês

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Unsupervised identification of the internal states that shape natural behavior

Calhoun, Adam J ; Pillow, Jonathan W ; Murthy, Mala

United States: Nature Publishing Group

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