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Statistical modelling of spike libraries for simulation of extracellular recordings in the cerebellum

Thorbergsson, Palmi Thor LU ; Garwicz, Martin LU ; Schouenborg, Jens LU and Johansson, Anders J LU (2010) Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010 In Annual International Conference of the IEEE Engineering in Medicine and Biology Society p.4250-4253
Abstract
Brain machine interfaces with chronically implanted microelectrode arrays for signal acquisition require algorithms for successful detection and classification of neural spikes. During the design of such algorithms, signals with a priori known characteristics need to be present. A common way to establish such signals is to model the recording environment, simulate the recordings and store ground truth about spiking activity for later comparison. In this paper, we present a statistical method to expand the spike libraries that are used in a previously presented simulation tool for the purpose described above. The method has been implemented and shown to successfully provide quick access to a large assembly of synthetic extracellular spikes... (More)
Brain machine interfaces with chronically implanted microelectrode arrays for signal acquisition require algorithms for successful detection and classification of neural spikes. During the design of such algorithms, signals with a priori known characteristics need to be present. A common way to establish such signals is to model the recording environment, simulate the recordings and store ground truth about spiking activity for later comparison. In this paper, we present a statistical method to expand the spike libraries that are used in a previously presented simulation tool for the purpose described above. The method has been implemented and shown to successfully provide quick access to a large assembly of synthetic extracellular spikes with realistic characteristics. Simulations of extracellular recordings using synthesized spikes have shown to possess characteristics similar to those of in-vivo recordings in the cat cerebellum. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
multi-unit, extracelluar, brain-computer-interface, cerebellum, brain-machine-interface, recording, simulation, single-unit
in
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
pages
4 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
external identifiers
  • wos:000287964004162
  • scopus:78650825037
ISSN
1557-170X
DOI
10.1109/IEMBS.2010.5627177
language
English
LU publication?
yes
id
9eb53e75-a0d7-491b-bb31-1a4913815fb9 (old id 1735079)
date added to LUP
2010-12-03 12:05:59
date last changed
2018-05-29 11:43:38
@inproceedings{9eb53e75-a0d7-491b-bb31-1a4913815fb9,
  abstract     = {Brain machine interfaces with chronically implanted microelectrode arrays for signal acquisition require algorithms for successful detection and classification of neural spikes. During the design of such algorithms, signals with a priori known characteristics need to be present. A common way to establish such signals is to model the recording environment, simulate the recordings and store ground truth about spiking activity for later comparison. In this paper, we present a statistical method to expand the spike libraries that are used in a previously presented simulation tool for the purpose described above. The method has been implemented and shown to successfully provide quick access to a large assembly of synthetic extracellular spikes with realistic characteristics. Simulations of extracellular recordings using synthesized spikes have shown to possess characteristics similar to those of in-vivo recordings in the cat cerebellum.},
  author       = {Thorbergsson, Palmi Thor and Garwicz, Martin and Schouenborg, Jens and Johansson, Anders J},
  booktitle    = {Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  issn         = {1557-170X},
  keyword      = {multi-unit,extracelluar,brain-computer-interface,cerebellum,brain-machine-interface,recording,simulation,single-unit},
  language     = {eng},
  pages        = {4250--4253},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Statistical modelling of spike libraries for simulation of extracellular recordings in the cerebellum},
  url          = {http://dx.doi.org/10.1109/IEMBS.2010.5627177},
  year         = {2010},
}