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
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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1735079
- author
- Thorbergsson, Palmi Thor
LU
; Garwicz, Martin
LU
; Schouenborg, Jens
LU
and Johansson, Anders J
LU
- organization
- publishing date
- 2010
- 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
- host publication
- 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
- conference location
- Buenos Aires, Argentina
- conference dates
- 2010-08-31 - 2010-09-04
- external identifiers
-
- wos:000287964004162
- scopus:78650825037
- pmid:21096640
- 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
- 2016-04-01 14:38:03
- date last changed
- 2024-06-20 06:34:59
@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}},
keywords = {{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 = {{https://lup.lub.lu.se/search/files/4078168/1735092.pdf}},
doi = {{10.1109/IEMBS.2010.5627177}},
year = {{2010}},
}