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Spike library based simulator for extracellular single unit neuronal signals

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Author

Summary, in English

A well defined set of design criteria is of great importance in the process of designing brain machine interfaces (BMI) based on extracellular recordings with chronically implanted micro-electrode arrays in the central nervous system (CNS). In order to compare algorithms and evaluate their performance under various circumstances, ground truth about their input needs to be present. Obtaining ground truth from real data would require optimal algorithms to be used, given that those exist. This is not possible since it relies on the very algorithms that are to be evaluated. Using realistic models of the recording situation facilitates the simulation of extracellular recordings. The simulation gives access to a priori known signal characteristics such as spike times and identities. In this paper, we describe a simulator based on a library of spikes obtained from recordings in the cat cerebellum and observed statistics of neuronal behavior during spontaneous activity. The simulator has proved to be useful in the task of generating extracellular recordings with realistic background noise and known ground truth to use in the evaluation of algorithms for spike detection and sorting.

Publishing year

2009

Language

English

Pages

6998-7001

Publication/Series

Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE

Document type

Conference paper

Topic

  • Neurosciences

Keywords

  • single-unit
  • simulation
  • recording
  • brain-machine-interface
  • cerebellum
  • brain-computer-interface
  • extracelluar
  • multi-unit

Conference name

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009

Conference date

2009-09-03 - 2009-09-06

Conference place

Minneapolis, Minnesota, United States

Status

Published

Research group

  • Neural Basis of Sensorimotor Control
  • Neurophysiology
  • Neuronano Research Center (NRC)
  • Radio Systems

ISBN/ISSN/Other

  • ISBN: 978-1-4244-3296-7