Processing the data in Python

scipy.signal.find_peaks_cwt
finds all local maxima (possibly the peak of an SCR) in each time series

we can then filter out any peaks which did not occur within 2 seconds of another person's

the remaining peaks are possible "meaningful moments"

sklearn.neighbors.kde.KernelDensity
finds clusters of these possible synchronizations

then moviepy to cut into the correct video clips

AcqKnowledge

there is a lab with some legit software on Cornell's campus (256 HumanEcol)

Algorithms

• advanced deconvolution method estimates times of stimuli, magnitude, and physiological characteristics even
  • I would likely have to ask them for the code, and try to modify it
  • sounds extremely complicated
• simpler deconvolution method probably doesn't work for me, because I don't know when the stimuli are
• surrogate data generation?? I'm dubious...
• why cross-correlation isn't good enough
• a non-cvxEDA method for extracting tonic and phasic

Electrodermal activity in python

• EDA explorer looks great, but only supports Q Sensor, E4, and Shimmer data. Need to reverse engineer these formats to use it...
• cvxEDA looks very well done, and exactly what I need
• NeuroKit has analysis software for multiple types of neuro data, and uses cvxEDA under the hood for EDA (EDA docs)
  • I can at least get the data into NeuroKit
• Stimfit (software) (download)
  • this looks good, but can't import CSVs!
• maybe SigViewer?
• General Data Format has no implementation in Python, but it does in MatLab
• MNE looks fabulous!!
• also, I should find my old notes (lol)
  • FOUND THEM! but in a text file... here you go
• HDF5 is apparently "non-proprietary" -- so there's a converter

New notes on software for SCR analysis

• ephyviewer

Old notes on software for neuro in general

• Software for neuroscience computing
  • Where I found neuroDebian
• The Ultimate Neuroscience Software Platform
  • GREAT!
• Neo - NeuralEnsemble
  • Electrophysiology analysis package
• Byron Yu: Software
  • Amazing data visualization and analysis strategies for neural data
• DataHigh
  • One in particular I liked ^^^^^^^^
• ConnectomeDB
  • HUGE database of neural stuff.
• THIS!
  • NITRC Computational Environment
  • NITRC-CE is a virtual computing platform pre-configured with many neuroimaging data analysis applications.
  • I tried this out and it's STELLAR.
  • The VirtualMachine is just run IN BROWSER
  • automatically connected to tons of nice data.
  • needed to put "archive" in the sources.list -- look it up, it's just an old version of Debian