title: Comparing offline decoding performance in physiologically defined neuronal classes.
abstract: OBJECTIVE
  Recently, several studies have documented the presence of a bimodal distribution of spike waveform widths in primary motor cortex. Although narrow and wide spiking neurons, corresponding to the two modes of the distribution, exhibit different response properties, it remains unknown if these differences give rise to differential decoding performance between these two classes of cells.
  
  
  METHODS
  We used a Gaussian mixture model to classify neurons into narrow and wide physiological classes. Using similar-size, random samples of neurons from these two physiological classes, we trained offline decoding models to predict a variety of movement features. We compared offline decoding performance between these two physiologically defined populations of cells.
  
  
  RESULTS
  We found that narrow spiking neural ensembles decode motor parameters better than wide spiking neural ensembles including kinematics, kinetics, and muscle activity.
  
  
  CONCLUSIONS
  These findings suggest that the utility of neural ensembles in brain machine interfaces may be predicted from their spike waveform widths.
authors.affiliation: Committee on Computational Neuroscience, University of Chicago, Chicago, IL 60637, USA.
authors.forename: Matthew D
authors.initials: MD
authors.lastname: Best
authors.forename: Kazutaka
authors.initials: K
authors.lastname: Takahashi
authors.forename: Aaron J
authors.initials: AJ
authors.lastname: Suminski
authors.forename: Christian
authors.initials: C
authors.lastname: Ethier
authors.forename: Lee E
authors.initials: LE
authors.lastname: Miller
authors.forename: Nicholas G
authors.initials: NG
authors.lastname: Hatsopoulos
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D062207:Brain-Computer Interfaces; D008253:Macaca mulatta; D009044:Motor Cortex / Q000166:cytology / Q000502:physiology*; D009474:Neurons / Q000145:classification / Q000502:physiology*; D016011:Normal Distribution; D011597:Psychomotor Performance / Q000502:physiology*
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