Title :
NeuroQuest: A comprehensive tool for large scale neural data processing and analysis
Author :
Kwon, Ki Yong ; Eldawlatly, Seif ; Oweiss, Karim G.
Author_Institution :
Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
fDate :
April 29 2009-May 2 2009
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 NeuroQuestreg, 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.
Keywords :
bioelectric phenomena; biomedical electrodes; data analysis; mathematics computing; medical signal processing; microelectrodes; neurophysiology; MATLAB; NeuroQuest; data analysis software; implantable microelectrode arrays; large scale neural data processing; neural engineering; neuroscience; signal processing; spike detection; spike sorting; spike train analysis; Array signal processing; Data analysis; Data processing; Information analysis; Large-scale systems; Microelectrodes; Neural engineering; Neuroscience; Performance analysis; Signal analysis; neural data analysis; neural signal processing; spike detection; spike sorting; spike train analysis;
Conference_Titel :
Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-2072-8
Electronic_ISBN :
978-1-4244-2073-5
DOI :
10.1109/NER.2009.5109373
