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Phase locking is a fundamental property of dynamical systems and implies an interaction between processes or system components and their state dynamics. Phase locking is statistically indicated by a nonrandom phase or phase difference distribution. Phase is a quantitative description of the state of a given process/component of the system and its temporal evolution. As such, phase is directly meaningful and comparable between different levels of study, and there it differs, e.g., from signal amplitude of which the physiological meaning is dependent on experimental conditions. In computational neuroscience, phase is typically extracted from time series of neuronal activity. Phase locking can be estimated between two or more such time series and is then termed phase synchrony or phase correlation or between one time series and events such as sensory stimuli and is then termed stimulus locking. Finally, phase-locking...
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Palva, J.M. (2014). Phase-Locking Methods. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_418-1
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DOI: https://doi.org/10.1007/978-1-4614-7320-6_418-1
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