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 © 2010, Prof. Dr. Gordon Pipa
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- 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)