DocumentCode :
2479684
Title :
A waveform independent cell identification method to study long-term variability of spike recordings
Author :
Chah, Ehsan ; Hok, Vincent ; O´Mara, Shane M. ; Reilly, Richard B.
Author_Institution :
Trinity Centre for Bioeng., Trinity Coll. Dublin, Dublin, Ireland
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
2558
Lastpage :
2561
Abstract :
Extracellular potential recordings are important in neuroscience; however the variability of spike waveforms has not been extensively studied to date. This study examines the variability of spike recordings within and between sessions. Place cell recordings were used in order to identify the cells across successive sessions. Place cells allow neuron spike recordings to be identified across different sessions using place fields, which are independent of the cell´s spike waveform. The results show that the distribution of the residues within a session does not follow a normal distribution, a t-distribution is more suitable. The results also show that the amplitude of the spikes can vary largely between successive sessions (up to 47%), this is an important factor to be considered in long term spike recording systems.
Keywords :
bioelectric potentials; cellular biophysics; neurophysiology; extracellular potential recording; long term variability; neuroscience; spike recordings; t-distribution; waveform independent cell identification method; Animals; Correlation; Electrodes; Firing; Hippocampus; Neurons; Neuroscience; Action Potentials; Animals; Male; Neurons; Rats; Rats, Wistar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6090707
Filename :
6090707
Link To Document :
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