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How to cite TSpace itemsAlways cite the published version, so the author(s) will receive recognition through services that track citation counts, e.g. Scopus. If you need to cite the page number of the author manuscript from TSpace because you cannot access the published version, then cite the TSpace version in addition to the published version using the permanent URI (handle) found on the record page.This article was made openly accessible by U of T Faculty. Please tell us how this access benefits you. Your story matters.0018-9294 (c) 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TBME. Abstract-Objective: One of the features used in the study of hyperexcitablility are high frequency oscillations (HFOs, >80Hz). HFOs have been reported in the electrical rhythms of the brain's neuro-glial networks under physiological and pathological conditions. Cross-frequency coupling (CFC) of HFOs with low frequency rhythms was used to identify pathologic HFOs (pHFOs) (i) in the epileptogenic zones of epileptic patients, and (ii) as a biomarker for the severity of seizure-like events in genetically modified rodent models. We describe a model to replicate reported CFC features extracted from recorded local field potentials (LFPs) representing network properties. Methods: This study deals with a 4-unit neuro-glial cellular network model where each unit incorporates pyramidal cells, interneurons and astrocytes. Three different pathways of hyperexcitability generation -Na + -K + ATPase pump, glial potassium clearance, and potassium afterhyperpolarization channel -were used to generate LFPs. Changes in excitability, average spontaneous electrical discharge (SED) duration and CFC were then measured and analyzed. Results: Each parameter caused an increase in network excitability and the consequent lengthening of the SED duration. Short SEDs showed CFC between HFOs and theta oscillations (4-8 Hz), but in longer SEDs the low frequency changed to the delta range (1-4 Hz). Conclusion: Longer duration SEDs exhibit CFC features similar to those reported by our team. Significance: (i) Identifying the exponential relationship between network excitability and SED durations, (ii) highlighting the importance of glia in hyperexcitability (as they relate to extracellular potassium), and (iii) elucidation of the ...