Year: 2022
Type: preprint
Abstract: We characterize the degree of synergy- and redundancy-dominated causal influence a time series has upon the interaction between other time series. We prove that for a class of time series, the early past of the stimuli yields a synergistic effect upon the interaction, whereas the late past has a redundancy-dominated effect. Our information theoretic quantities are easy to compute in practice, and we provide simulation studies on synthetic time series and real-world signals. As an example, we use our measures on intracranial EEG data to demonstrate that the stimuli from specific deep electrodes cause a synergistic exchange of information to take place between different brain regions during seizures.
Institution: Aalborg University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7204615951