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Paper ID: 2850

Principal Components Analysis of Spike Train Data: Towards an Architecture for the CARMEN Project
Hugo G,Hiden Georgios,Pitsilis Paul,Watson

Appeared in: Proceedings of the UK e-Science All Hands Conference 2007 website: http://www.allhands.org.uk/2007/
Page Numbers:
Publisher: National e-Science Centre
Year: 2007
ISBN/ISSN: 978-0-9553988-3-4
Contributing Organisation(s):
Field of Science: e-Science

URL: http://www.allhands.org.uk/2007/proceedings/papers/869.pdf

Abstract: Within the field of Neurological research, the processing and analysis of spike train data is a critical task. This data is obtained from electrodes planted at specific locations within a sample which return electrical information under a range of operations. The data sets collected by such analysis are substantial in size, as they represent voltage measurements sampled at 10 – 20 kHz. In addition, multiple electrodes will frequently by used, which dramatically increases the size of the collected data sets. In order to manage these data sets, scientists are frequently forced to make compromises in terms of the quantity of data they can store at any given time and also the analysis routines that can be applied to this data. This paper presents early work from the CARMEN (http://www.carmen.org.uk) project which aims to improve the analysis of neurological data by providing shared data repositories and services that can be used by Neuroscientists.

Keywords: e-Science, AHM 2007


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