Spike-Feature Based Estimation of Electrode Position in Extracellular Neural Recordings
Thorbergsson, Palmi Thor LU ; Garwicz, Martin LU ; Schouenborg, Jens LU and Johansson, Anders J LU
(2012)
34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
p.3380-3383
- Abstract
- Detecting and sorting spikes in extracellular
neural recordings are common procedures in assessing the activity of individual neurons. In chronic recordings, passive electrode movements introduce changes in the shape of detected spike waveforms, and may thus lead to problems with identification and tracking of spikes recorded at separate instances in time, which is an important step in long-term monitoring of individual neurons. Information about electrode movements after implantation is crucial to the evaluation of mechanical stability of different electrode designs. In this paper, we present a preliminary study of the relationship between electrode movements and the resulting movements of spike-features in feature space. We show... (More) - Detecting and sorting spikes in extracellular
neural recordings are common procedures in assessing the activity of individual neurons. In chronic recordings, passive electrode movements introduce changes in the shape of detected spike waveforms, and may thus lead to problems with identification and tracking of spikes recorded at separate instances in time, which is an important step in long-term monitoring of individual neurons. Information about electrode movements after implantation is crucial to the evaluation of mechanical stability of different electrode designs. In this paper, we present a preliminary study of the relationship between electrode movements and the resulting movements of spike-features in feature space. We show that there is a characteristic relationship between the two movements and that this relationship can be modeled as a linear transformation between two coordinate systems. Finally, we show how the relationship can be used for estimating electrode positions based on measured spike waveforms without any prior knowledge about the type of neuron by introducing a learning procedure during electrode insertion. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3122862
- author
- Thorbergsson, Palmi Thor
LU
; Garwicz, Martin
LU
; Schouenborg, Jens
LU
and Johansson, Anders J
LU
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- 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
- 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- conference location
- San Diego, United States
- conference dates
- 2012-08-28 - 2012-09-01
- external identifiers
-
- wos:000313296503151
- scopus:84870776044
- language
- English
- LU publication?
- yes
- id
- 06003723-80f5-49ff-b34f-5b2c42df9e70 (old id 3122862)
- date added to LUP
- 2016-04-04 10:17:55
- date last changed
- 2024-01-12 19:43:23
@inproceedings{06003723-80f5-49ff-b34f-5b2c42df9e70,
abstract = {{Detecting and sorting spikes in extracellular<br/><br>
neural recordings are common procedures in assessing the activity of individual neurons. In chronic recordings, passive electrode movements introduce changes in the shape of detected spike waveforms, and may thus lead to problems with identification and tracking of spikes recorded at separate instances in time, which is an important step in long-term monitoring of individual neurons. Information about electrode movements after implantation is crucial to the evaluation of mechanical stability of different electrode designs. In this paper, we present a preliminary study of the relationship between electrode movements and the resulting movements of spike-features in feature space. We show that there is a characteristic relationship between the two movements and that this relationship can be modeled as a linear transformation between two coordinate systems. Finally, we show how the relationship can be used for estimating electrode positions based on measured spike waveforms without any prior knowledge about the type of neuron by introducing a learning procedure during electrode insertion.}},
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}},
language = {{eng}},
pages = {{3380--3383}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Spike-Feature Based Estimation of Electrode Position in Extracellular Neural Recordings}},
url = {{https://lup.lub.lu.se/search/files/5507863/3122867.pdf}},
year = {{2012}},
}