NDLI: NeuroQuest: A comprehensive tool for large scale neural data processing and analysis

Content Provider	IEEE Xplore Digital Library
Author	Ki Yong Kwon Eldawlatly, S. Oweiss, K.G.
Copyright Year	2009
Description	Author affiliation: Electrical and Computer Engineering, Michigan State University, East Lansing, USA (Ki Yong Kwon; Eldawlatly, S.; Oweiss, K.G.)
Abstract	Analysis of neural data recorded with implantable microelectrode arrays poses a significant challenge to the neuroscience and the neural engineering communities. The numerous signal processing and analysis steps need to be performed in order to extract the affluent amount of information in these data to understand their correlation with observed behavior. This paper summarizes our most recent effort to develop a comprehensive neural signal processing and data analysis software that incorporates standard analysis tools in addition to our in-house advanced tools. The software, referred to herein as NeuroQuest®, is implemented using MATLAB. It has been extensively tested on simulated and experimental neural data and will be disseminated to the community in the short term.
Starting Page	622
Ending Page	625
File Size	614132
Page Count	4
File Format	PDF
ISBN	9781424420728
DOI	10.1109/NER.2009.5109373
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-29
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microelectrodes spike train analysis Data analysis Array signal processing neural data analysis Neural engineering spike sorting Data processing spike detection Information analysis Neuroscience Large-scale systems Performance analysis Signal analysis neural signal processing
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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