hengenlab

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Jupyter Notebook

appps1

 2  1

eccojams

 2  0

Sleep_restores_criticality

 2  0

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

 10  3
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

 5  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