Inferring Cortical Connectivity From ECoG Signals Using Graph Signal Processing

Inferring Cortical Connectivity From ECoG Signals Using Graph Signal Processing

A novel method to characterize connectivity between sites in the cerebral cortex of primates is proposed in this paper. Connectivity graphs for two macaque monkeys are inferred from Electrocorticographic (ECoG) activity recorded while the animals were alert. The locations of ECoG electrodes are cons...

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Bibliographic Details
Main Authors: Siddhi Tavildar, Brian Mogen, Stavros Zanos, Stephanie C. Seeman, Steve I. Perlmutter, Eberhard Fetz, Ashkan Ashrafi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Brain connectivity
cortical connectivity
electrocorticography (ECoG)
graph learning
graph signal processing
neural signal processing
Online Access:https://ieeexplore.ieee.org/document/8794547/

Internet

https://ieeexplore.ieee.org/document/8794547/

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