Article

Recurrent Neural Networks with Interpretable Cells Predict and Classify Worm Behaviour

2017-11-20

Abstract excerpt

An important goal in behaviour analytics is to connect disease state or genome variation with observable differences in behaviour. Despite advances in sensor technology and imaging, informative behaviour quantification remains challenging. The nematode worm C. elegans provides a unique opportunity to test analysis approaches because of its small size, compact nervous system, and the availability of large database...

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Literature Corpus work: 38e72219-8f60-5ce2-aadc-7b1c74d6af1b
DOI: 10.1101/222208

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