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Jakob Voigts, jvoigts,
Voigts, Voigts MIT
Category Archives: Data analysis
High quality time series plots
What is the best, or at least a good way to plot time-series data on a screen? When dealing with time series data in electrophysiology, a good deal of time is spent looking at plots in order to judge data … Continue reading
Posted in Data analysis, Electrophysiology, Open Ephys
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Fast approximate whisker tracking in the gap-crossing task
After finding the mouse’s nose position (see post on Tracking mouse position in the gap-crossing task), I wanted to get a fast, robust estimate of the basic whisking pattern, together with approximate times when whiskers could have been in contact with … Continue reading
Posted in Data analysis, Matlab
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Tracking mouse position in the gap-crossing task
This post is a quick walk-through of some code I recently wrote for tracking rough mouse position and a few other things in high-speed video in a gap-crossing task. This code is just very basic image processing, ugly hacks and … Continue reading
Posted in Data analysis
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Maintaining local pixel cross-correlation in image registration
This post is about the effect of re-sampling in image registration methods on local pixel cross correlation for analyzing calcium imaging data. In awake 2p imaging, animal motion causes brain tissue motion and image motion. While z-motion that can not be recovered … Continue reading
Posted in Calcium imaging, Data analysis, Matlab
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Localizing recording sites: Reconstructing explanted electrode arrays
While drive implants with adjustable electrodes bring many advantages, the use of movable electrodes adds one element of uncertainty to the data analysis: the precise depth of each electrode is not known with absolute certainty during recording. By identifying landmarks along the … Continue reading
Posted in Data analysis, Electrophysiology
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Template matching in manual spike sorting
When sorting spikes, it is pretty common to find a bunch of nice example waveforms for a unit, but it is often tricky to find good features that cleanly separate these waveforms from the rest. For this reason, many clustering packages can … Continue reading
Posted in Data analysis, Matlab, Technical things
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