hengenlab

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Jupyter Notebook

eccojams

 2  0

Sleep_restores_criticality

 2  0

appps1

 1  1

Sleep_Wake_Scoring

 0  1
We use a multivariate approach to scoring sleep in high resolution (4 second bins); we use machine learning to adaptively incorporate user input and predict the arousal state of subsequent data. This allows us to score months worth of continuous acquisition in hours.
Python

neuraltoolkit

 8  2
A powerful and fast set of tools for loading data, filtering, processing, working with data formats, and basic utilities for electrophysiology and behavioral data.

musclebeachtools

 4  2
This package used to analyze neuronal data, from basic plotting (ISI histograms, firing rate, cross correlation), to hard core computational work (ising models, branching ratios, etc).

sahara_work

 2  0

criticality_hlab

 1  1

flicker

 1  1