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Detection and analysis of spatiotemporal patterns in brain activity
2018
PLoS Computational Biology
There is growing evidence that population-level brain activity is often organized into propagating waves that are structured in both space and time. Such spatiotemporal patterns have been linked to brain function and observed across multiple recording methodologies and scales. The ability to detect and analyze these patterns is thus essential for understanding the working mechanisms of neural circuits. Here we present a mathematical and computational framework for the identification and
doi:10.1371/journal.pcbi.1006643
pmid:30507937
pmcid:PMC6292652
fatcat:5luvdmqnenbz7ed5cqwtbuipie