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• W3100615456 abstract "Neural circuits sit in a dynamic balance between excitation (E) and inhibition (I). Fluctuations in this E:I balance have been shown to influence neural computation, working memory, and information processing. While more drastic shifts and aberrant E:I patterns are implicated in numerous neurological and psychiatric disorders, current methods for measuring E:I dynamics require invasive procedures that are difficult to perform in behaving animals, and nearly impossible in humans. This has limited the ability to examine the full impact that E:I shifts have in neural computation and disease. In this study, we develop a computational model to show that E:I ratio can be estimated from the power law exponent (slope) of the electrophysiological power spectrum, and validate this relationship using previously published datasets from two species (rat local field potential and macaque electrocorticography). This simple method--one that can be applied retrospectively to existing data--removes a major hurdle in understanding a currently difficult to measure, yet fundamental, aspect of neural computation." @default.
• W3100615456 created "2020-11-23" @default.
• W3100615456 creator A5026158316 @default.
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• W3100615456 date "2016-10-14" @default.
• W3100615456 modified "2023-09-23" @default.
• W3100615456 title "Field Potential Reflects the Balance of Synaptic Excitation and Inhibition" @default.
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• W3100615456 hasPublicationYear "2016" @default.
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