Automatic sorting of multiple unit neuronal signals in the presence of anisotropic and non-Gaussian variability.

  title={Automatic sorting of multiple unit neuronal signals in the presence of anisotropic and non-Gaussian variability.},
  author={Michale S. Fee and Partha P. Mitra and David Kleinfeld},
  journal={Journal of neuroscience methods},
  volume={69 2},
Neuronal noise sources and systematic variability in the shape of a spike limit the ability to sort multiple unit waveforms recorded from nervous tissue into their single neuron constituents. Here we present a procedure to efficiently sort spikes in the presence of noise that is anisotropic, i.e., dominated by particular frequencies, and whose amplitude distribution may be non-Gaussian, such as occurs when spike waveforms are a function of interspike interval. Our algorithm uses a hierarchical… CONTINUE READING
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