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MULTIUNIT, MULTIELECTRODE SPIKE-SORTING SOFTWARE
Phone: () -
Email: CMGRUNER.VCN.COM
DESCRIPTION (adapted from applicant's abstract): The use of multiple electrodes
to record the activity of a neural populations is a technique that has shown
promise in obtaining spike data from neural populations. This population data
is clearly needed to further the study of how neurons code, process, learn, and
retain information. Better understanding of neural population coding would have
wide clinical benefits, for example, in the design of microelectronic devices
such as cochlear and retinal implants. Currently, most researchers who collect
multielectrode data are forced to also develop their own software to sort the
recorded action potentials from each of the neurons recorded, determining the
relative time-of-occurrence of each action potential, a process known as
"spike-sorting." The long-term objective of this research program is to develop
a MATLAB software toolbox for automated multichannel spike-sorting
incorporating state-of-the-art algorithms using advanced signal processing
techniques. The objective of the Phase I project is to develop prototype
software using the MATLAB environment that expands existing work and
incorporates new methods for spike sorting. This will be the first commercially
available package that will allow the effective solution to a major problem
facing neuroscientists: the discrimination and identification of spike
superpositions.
PROPOSED COMMERCIAL APPLICATION:
There are many potential users of multichannel spike-sorting software who are already
obtaining multichannel data. The number of researchers doing multi-channel studies has
increased dramatically and will continue to increase as computer become faster and
better multielectrodes are producted.
* Information listed above is at the time of submission. *