We are pleased to announce the release of Klusters, a graphical
interface for spike sorting of extracellular neuronal recordings.
Klusters was written by Lynn Hazan (email@example.com) in the
laboratory of Gyorgy Buzsaki at Rutgers University
(http://osiris.rutgers.edu), in collaboration with the laboratory of
Kenneth D. Harris (http://qneuro.rutgers.edu), and is released under the
GNU General Public Licence.
While the accuracy and speed of spike sorting is dramatically improved
by automatic classification algorithms such as KlustaKwik
(http://klustakwik.sourceforge.net), the results of automatic algorithms
must be examined manually to ensure that the assigned clusters
correspond to single neurons. Klusters has been carefully designed to
make this process as fast and error-free as possible. Specific features
*) Multiple visualization tools including waveform displays and auto-
*) "Grouping Assistant" to suggest which pairs may result from
overclustering of a single neuron.
*) "Recluster" feature to automatically split clusters that may comprise
several distinct neurons (underclustering), using an external
classification program such as KlustaKwik.
*) Time trajectory display to identify possible electrode drift.
*) Ergonomic user interface for maximum speed and reliability.
Klusters is written in C++ for Linux under the KDE environment. The
program, source code, and full documentation are available at
Kenneth D. Harris, Ph.D.
Center for Molecular and Behavioral Neuroscience
Rutgers, The State University of New Jersey
197 University Avenue
Newark NJ 07102, USA
phone: 973 353 1080, x3331
fax: 973 353 1272
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