Data from: Computational methods for tracking, quantitative assessment, and visualization of C. elegans locomotory behavior

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关键词：

nematode levy flight

DOI：

doi:10.5061/dryad.n9c88

摘要：

The nematode Caenorhabditis elegans provides a unique opportunity to interrogate the neural basis of behavior at single neuron resolution

Mouse Data Sample For Pergola Documentation - Shiny Visualization

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pergola behavioral computational analysis behavioral data Mus musculus

DOI：

doi:10.5281/zenodo.1162230

摘要：

Data sample of feeding and drinking behavior recorded during three weeks of C57BL6/J male mice. The data correspond to 2 groups (9 control mice

Data from: Internal states drive nutrient homeostasis by modulating exploration-exploitation trade-off

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Ribeiro, Carlos

关键词：

computational analysis of behavior nutrition homeostasis exploration-exploitation neurogenetics feeding

DOI：

doi:10.5061/dryad.s58qh

摘要：

Internal states can profoundly alter the behavior of animals. A quantitative understanding of the behavioral changes upon metabolic challenges is key

Data from: Similar but different: dynamic social network analysis highlights fundamental differences between the fission-fusion societi

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关键词：

Behavioral ecology Equids Social networks Computational ecology

DOI：

doi:10.5061/dryad.q660q

摘要：

Understanding why animal societies take on the form that they do has benefited from insights gained by applying social network analysis to patterns

Data from: Do cost functions for tracking error generalize across tasks with different noise levels?

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关键词：

computational motor control;utility function;myoelectric

DOI：

doi:10.5061/dryad.13qh4

摘要：

Control of human-machine interfaces are well modeled by computational control models, which take into account the behavioral decisions people ma

Data from: The neural basis of risky choice with affective outcomes

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关键词：

DOI：

doi:10.5061/dryad.64732

摘要：

in relatively affect-poor, monetary lottery problems with choice in relatively affect-rich medical decision problems. Computational modeling of behavioral