MLIB - toolbox for analyzing spike data

Set of functions for the basic analysis of spike data from neurophysiological experiments
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Updated 27 May 2015

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MLIB is a software package for the analysis of the spike data, ie patterns of extracellularly recorded action potentials. In particular, MLIB contains functions for a) assessing spike sorting quality / unit isolation, and b) constructing all sorts of peri-stimulus time histograms as well as raster displays and spike density functions constructed with various filter kernels.

Cite As

Maik Stüttgen (2024). MLIB - toolbox for analyzing spike data (https://www.mathworks.com/matlabcentral/fileexchange/37339-mlib-toolbox-for-analyzing-spike-data), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
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Windows macOS Linux
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Version Published Release Notes
1.7.0.0

- new function: mcvar.
- mrocr.m now handles vectors holding floating-point numbers
- modified mpsth.m and mcheck.m in quite a few ways - see comments in file.
- see individual functions' histories for more
did some polishing for mcheck, msdf, mwave;
added new tool test_msdf for testing different filter kernels in msdf for real and simulated spike train data

1.6.0.0

mlib v5 contains three new functions for spike analysis - mnspx, mreshape, mwa. See text file for functionality. Also, some (minor) bug fixes have been done.

1.5.0.0

debugged mwave
added some documentation info

1.4.0.0

added function mwave.m to compute spike width

1.3.0.0

minor modifications to msdf and checkunit; see notes therein

1.0.0.0