Spike Sorting in Networks of Cultured Neurons on Multi-Electrode Arrays

摘要

The technology of micro-electrode arrays is getting more and more important in the research of brain neural networks and its dynamics because of the ability to stimulate and record more neurons' activities simultaneously. When the signals of many neurons with several noises in a local region are picked up with a microelectrode, a neurophysiologist may wish to sort these signals by assigning particular spikes to putative neurons with some degree of reliability. Spike sorting is a key step in whole data process and is a general problem in neural electrophysiology. Many algorithms for spike sorting have been brought forward based on the features of the spike waveforms from different neurons. In this article, I have accomplished spike sorting through analyzing the amplitude, shape and principal components of the spikes.