Neurobot shares spike sorting software and algorithms including MATLAB functions and examples. See here for details
Wave_clus is a fast and unsupervised algorithm for spike detection and sorting. Although it gives a first unsupervised solution, this can be further modified according to the experimenter’s preference (semi-automatic sorting).
By Rodrigo Quian Quiroga,
Reader in Bioengineering,
Dept. Engineering. University of Leicester, UK.
“Offline spike sorting approaches are currently used to detect and sort action potentials after finishing the experiment. Because the opportunities to record from the human brain are relatively rare, it is desirable to analyze large numbers of simultaneous recordings quickly using online sorting and detection algorithms. In this way, the experiment can be optimized for the particular response properties of the recorded neurons.”
A Matlab implementation of an online spike sorting algorithm. The software was implemented at the California Institute of Technology, Pasadena, CA, USA, by Ueli Rutishauser, E.M. Schuman, A.N. Mamelak.
Multiple electrodes are now a standard tool in neuroscience research that make it possible to study the simultaneous activity of several neurons in a given brain region or across different regions. The data from multi-electrode studies present important analysis challenges that must be resolved for optimal use of these neurophysiological measurements to answer questions about how the brain works.
The authors review statistical methods for the analysis of multiple neural spike-train data and discuss future challenges for methodology research.
Emery N Brown, Robert E Kass & Partha P Mitra
Nature Neuroscience 7, 456 – 461 (2004)
Published online: 27 April 2004; | doi:10.1038/nn1228
This Paper by K.D.Harris provides an excellent walkthrough to the understanding of the spike-sorting procedure.
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