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Spike library based simulator for extracellular single unit neuronal signals

Thorbergsson, Palmi Thor LU ; Jörntell, Henrik LU ; Bengtsson, Fredrik LU ; Garwicz, Martin LU ; Schouenborg, Jens LU and Johansson, Anders J LU (2009) Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009 In Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE p.6998-7001
Abstract
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... (More)
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. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
single-unit, simulation, recording, brain-machine-interface, cerebellum, brain-computer-interface, extracelluar, multi-unit
in
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
pages
4 pages
conference name
Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
external identifiers
  • WOS:000280543605206
  • Scopus:77950994446
ISBN
978-1-4244-3296-7
DOI
10.1109/IEMBS.2009.5333847
language
English
LU publication?
yes
id
3b07713e-9ede-45a6-8711-346ce8b8efa1 (old id 1528627)
date added to LUP
2010-01-18 11:26:35
date last changed
2016-10-13 05:02:39
@misc{3b07713e-9ede-45a6-8711-346ce8b8efa1,
  abstract     = {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.},
  author       = {Thorbergsson, Palmi Thor and Jörntell, Henrik and Bengtsson, Fredrik and Garwicz, Martin and Schouenborg, Jens and Johansson, Anders J},
  isbn         = {978-1-4244-3296-7},
  keyword      = {single-unit,simulation,recording,brain-machine-interface,cerebellum,brain-computer-interface,extracelluar,multi-unit},
  language     = {eng},
  pages        = {6998--7001},
  series       = {Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE},
  title        = {Spike library based simulator for extracellular single unit neuronal signals},
  url          = {http://dx.doi.org/10.1109/IEMBS.2009.5333847},
  year         = {2009},
}