A Novel Measure for Synchrony and its Application to Neural Signals

A novel measure to quantify the synchrony between two sparse binary strings is proposed, referred to as "stochastic event synchrony" (SES). It is computed by performing inference in a probabilistic model. SES can amongst other be used to detect synchrony in neural signals, in particular, s...

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Bibliographische Detailangaben

Hauptverfasser:	Dauwels, J., Vialatte, F., Cichocki, A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Alzheimer's disease Binary sequences Brain modeling Computer vision Electroencephalography Electrophysiology Feature Extraction Inference Mental disorders Neurons Neuroscience Reliability theory Stochastic processes Synchronization
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