This week’s post is about two very useful libraries for statistical evaluations of behavioral, neuronal, and other types of data, especially when the data deviate from assumptions such as having a Gaussian (aka normal) distribution. (This is often the case with...
Sleep and circadian rhythm disruptions are common to many conditions and are associated with negative consequences such as cognitive impairment and metabolic dysfunction. Though sleep is highly relevant to many areas of behavioral research, measurements are rarely...
Pre-clinical measurements of internal pain states have traditionally depended on the manual scoring of reflexive paw withdrawal in response to noxious stimuli. This approach, however, struggles to differentiate whether the withdrawal is actually motivated by...
Ann Kennedy, @Antihebbiann, from Northwestern University, contributed this post on a series of tools for joint analysis of behavioral and neural recording data: MARS, MARS-Developer, and BENTO. The Mouse Action Recognition System (MARS) is a Python-based end-to-end...
DeepEthogram (DEG) is a recently developed method for temporal action detection in video recordings. It was developed by Jim Bohnslav and colleagues in Chris Harvey’s lab and is described in this preprint. The general idea of DeepEthogram is to extract relevant...
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