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Spike Sorting

Spike sorting is used in the analysis of electrophysiological data. Spike sorting  algorithms use the shape(s) of waveforms collected with one or more electrodes to distinguish the activity of one or more neurons from background electrical noise.

Spike sorting refers to the process of assigning spikes to different neurons. The exact time course of a spike event as recorded by the electrode depends on the size and shape of the neuron, the position of the recording electrode relative to the neuron, etc. These electrodes, positioned outside of the cells in the tissue, however, often ‘see’ the spikes generated by several neurons in their vicinity. Since the spike shapes are unique and quite reproducible for each neuron it can be used to distinguish spikes produced by different neurons, i.e. to separate the activity produced by each.

The Spike Sorting Analysis module has the following features:

  • LabScribe has built-in High pass filters to isolate action potentials and remove differences in low-frequency baseline.
  • Identify all spikes in the recording that meet the amplitude and duration citeria
  • Use the Discriminator to distinguish spikes produced by different neurons.  Create multiple spike types based on the height and width of the spikes.
  • Identify various regions in the recording, such as Baseline,  Stimulus/Response  and Recovery.
  • Measure various parameters such as frequency of spikes during the various regions.

LabScribe Spike Sorting Manual