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Found 2 papers, 1 papers with code
Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study
We describe a set of new methods to partially automate linguistic phylogenetic inference given (1) cognate sets with their respective protoforms and sound laws, (2) a mapping from phones to their articulatory features and (3) a typological database of sound changes.
Understanding Neural Pathways in Zebrafish through Deep Learning and High Resolution Electron Microscope Data
The tracing of neural pathways through large volumes of image data is an incredibly tedious and time-consuming process that significantly encumbers progress in neuroscience.
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