NDLI: Spike library based simulator for extracellular single unit neuronal signals

Content Provider	IEEE Xplore Digital Library
Author	Thorbergsson, P.T. Jorntell, H. Bengtsson, F. Garwicz, M. Schouenborg, J. Johansson, A.J.
Copyright Year	2009
Description	Author affiliation: Neuronano Research Center and at Dept. of Electrical and Information Technology, both at Lund University, Lund, Sweden (Thorbergsson, P.T.; Johansson, A.J.) \|\| Neuronano Research Center and at the Dept. of Experimental Medical Science, both at Lund University, Lund, Sweden (Jorntell, H.; Bengtsson, F.; Garwicz, M.; Schouenborg, J.)
Abstract	A well defined set of design criteria is of great importance in the process of designing brain machine interfaces (BMI) based on extracellular recordings with chronically implanted micro-electrode arrays in the central nervous system (CNS). In order to compare algorithms and evaluate their performance under various circumstances, ground truth about their input needs to be present. Obtaining ground truth from real data would require optimal algorithms to be used, given that those exist. This is not possible since it relies on the very algorithms that are to be evaluated. Using realistic models of the recording situation facilitates the simulation of extracellular recordings. The simulation gives access to a priori known signal characteristics such as spike times and identities. In this paper, we describe a simulator based on a library of spikes obtained from recordings in the cat cerebellum and observed statistics of neuronal behavior during spontaneous activity. The simulator has proved to be useful in the task of generating extracellular recordings with realistic background noise and known ground truth to use in the evaluation of algorithms for spike detection and sorting.
Starting Page	6998
Ending Page	7001
File Size	442534
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333847
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Libraries Extracellular Brain modeling Signal design Mathematical model Background noise Central nervous system Analytical models Neurons Active noise reduction
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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