DeepSqueak is a fully graphical MATLAB package for detecting and classifying rodent ultrasonic vocalizations (USVs). DeepSqueak is engineered to allow non-experts easy entry into USV detection and analysis.
DeepSqueak provides a fully automated pipeline for USV detection, classification, and analysis:
State-of-the-art regional object detection neural networks (Faster-RCNN) dramatically reduces the false positive rate to facilitate reliable USV analysis in standard experimental conditions.
Create unsupervised k-means clustering models from vocalization contours and trainable neural networks for supervised call classification.
Output call statistics in spreadsheets for further analysis.
Kevin R Coffey (2021). DeepSqueak (https://github.com/DrCoffey/DeepSqueak), GitHub. Retrieved .
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