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.
To allow for exchange in-between of NeuroXidence users we introduced the NeuroXidence Google news group. All members of the group have full excess to the unrestricted Matlab source code.
Copyright Information
The application for patent of the "NeuroXidence System" has already been published. For scientific usage you can download and use the full source code on the NeuroXidence google newsgroup. In case that you have modified or improved the original source code I strongly encourage you to share the code by using the NeuroXidence google newsgroup. Further distribution of the original code or modified version via other channels than the NeuroXidence google newsgroup are not allowed.
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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