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Introduction
NeuroXidence is a non-parametric and computationally efficient method that detects coordinated firing of two or more neurons and tests whether the observed level of coordinated firing is significantly different from that expected by chance. The method considers the full auto-structure of the data, including the changes in the rate responses and the history dependencies in the spiking activity. Also, the method accounts for trial-by-trial variability in the data set, such as the variability of the rate responses and their latencies. NeuroXidence can be applied to short data windows lasting only tens of milliseconds, which enables the tracking of transient neuronal states correlated to information processing. Recently the method had been extended such that it can detect modulations of spike synchronization across different experimental conditions. You will find further information in the corresponding paper that will be available soon.
To allow for exchange in-between of NeuroXidence users we introduced the NeuroXidence Google news group
Copyright Information
Copyright © 2010, Prof. Dr. Gordon Pipa
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
- Neither the name of the <ORGANIZATION> nor the names of its
contributors may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
Further Reading
- G.Pipa, D. W. Wheeler, W. Singer, D. Nikolic
’NeuroXidence: reliable and efficient analysis of an excess or deficiency of joint-spike events’
(DOI 10.1007/s10827-007-0065-3, pdf ), download source code and example data
- G. Pipa, A. Riehle, S. Grün
‘Validation of task-related excess of spike coincidences based on NeuroXidence’
Neurocomputing (2006), doi:10.1016/j.neucom.2006.10.142 (download)
- (8) G. Pipa
Ph.D. thesis ‘Neuronal Code: Development of tools and hypotheses for understanding the role of synchronisation of neuronal activity’ (download Ph.D. thesis)
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