| Correcting the bias of spike field coherence estimators due to a finite number of spikes. | |
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MedLine Citation:
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PMID: 20484529 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The coherence between oscillatory activity in local field potentials (LFPs) and single neuron action potentials, or spikes, has been suggested as a neural substrate for the representation of information. The power spectrum of a spike-triggered average (STA) is commonly used to estimate spike field coherence (SFC). However, when a finite number of spikes is used to construct the STA, the coherence estimator is biased. We introduce here a correction for the bias imposed by the limited number of spikes available in experimental conditions. In addition, we present an alternative method for estimating SFC from an STA by using a filter bank approach. This method is shown to be more appropriate in some analyses, such as comparing coherence across frequency bands. The proposed bias correction is a linear transformation derived from an idealized model of spike-field interaction but is shown to hold in more realistic settings. Uncorrected and corrected SFC estimates from both estimation methods are compared across multiple simulated spike-field models and experimentally collected data. The bias correction was shown to reduce the bias of the estimators, but add variance. However, the corrected estimates had a reduced or unchanged mean squared error in the majority of conditions evaluated. The bias correction provides an effective way to reduce bias in an SFC estimator without increasing the mean squared error. |
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Authors:
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D W Grasse; K A Moxon |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-05-19 |
Journal Detail:
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Title: Journal of neurophysiology Volume: 104 ISSN: 1522-1598 ISO Abbreviation: J. Neurophysiol. Publication Date: 2010 Jul |
Date Detail:
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Created Date: 2010-07-08 Completed Date: 2011-01-07 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0375404 Medline TA: J Neurophysiol Country: United States |
Other Details:
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Languages: eng Pagination: 548-58 Citation Subset: IM |
Affiliation:
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School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, Pennsylvania 19104, USA. |
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| MeSH Terms | |
Descriptor/Qualifier:
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Action Potentials
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physiology* Algorithms Animals Bias (Epidemiology) CA3 Region, Hippocampal / cytology, physiology Computer Simulation Data Interpretation, Statistical Electrodes, Implanted Electrophysiology / methods* Female Neurons / physiology* Normal Distribution Rats Rats, Long-Evans |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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