MClust-3.0

[A David Redish]

MClust-3.0

Announcing the release of a new version of the MClust spike-sorting
toolbox.

MClust is a Matlab toolbox which enables a user to perform manual
clustering on single-electrode, stereotrode, and tetrode recordings
taken with a variety of recording systems. The current system ships with
engines for loading Neuralynx ".dat" files, but one of the new features
of MClust-3.0 is a modular loading-engine system and it should be easy
to write new loading engines for other data formats.

The MClust web page can be found at

    http://www.cbc.umn.edu/~redish/MClust

The MClust toolbox is free-ware, but you will need Matlab 6.0 or
higher to run it.  It has been tested under the Windows families of
operating systems, but ports to other operating systems should be
simple.  Further details (such as the copyright notice, authors
credits, and disclaimer) are available from the website above.

New features available in MClust-3.0 include more modularity and new
cutting-engines.  Loading-engines are easily added.  This will greatly
facilitate using MClust with other data formats.  As before,
spike-features are easily added.  Additional features are also shipped
with the new version.  MClust-3.0 now includes automated/assisted
cluster cutting engines, including BubbleClust (P. Lipa, University of
Arizona, Tucson AZ) and KlustaKwik (K. Harris, Rutgers University,
Newark NJ).  After preprocessing data (using a new batch-processing
system), clusters cut with BubbleClust or KlustaKwik can be selected,
merged, split, and generally touched-up using the new
selection/decision windows and the original manual cutting engine.
Manual cutting is still, of course, always an option.

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A. David Redish         redish at ahc.umn.edu
Assistant Professor     http://www.cbc.umn.edu/~redish
Department of Neuroscience, University of Minnesota

6-145 Jackson Hall
321 Church St SE
Minneapolis MN 55455
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