Cortical network models of impulse firing in the resting and active states predict cortical energetics

Proceedings of the National Academy of Sciences of the United States of America
Maxwell R BennettJim Lagopoulos

Abstract

Measurements of the cortical metabolic rate of glucose oxidation [CMR(glc(ox))] have provided a number of interesting and, in some cases, surprising observations. One is the decline in CMR(glc(ox)) during anesthesia and non-rapid eye movement (NREM) sleep, and another, the inverse relationship between the resting-state CMR(glc(ox)) and the transient following input from the thalamus. The recent establishment of a quantitative relationship between synaptic and action potential activity on the one hand and CMR(glc(ox)) on the other allows neural network models of such activity to probe for possible mechanistic explanations of these phenomena. We have carried out such investigations using cortical models consisting of networks of modules with excitatory and inhibitory neurons, each receiving excitatory inputs from outside the network in addition to intermodular connections. Modules may be taken as regions of cortical interest, the inputs from outside the network as arising from the thalamus, and the intermodular connections as long associational fibers. The model shows that the impulse frequency of different modules can differ from each other by less than 10%, consistent with the relatively uniform CMR(glc(ox)) observed across dif...Continue Reading

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Citations

Jul 10, 2016·Progress in Neurobiology·Maxwell R BennettJim Lagopoulos
Dec 19, 2015·Journal of Neural Engineering·Maxwell R BennettJim Lagopoulos
Mar 16, 2017·Frontiers in Neuroscience·Javier BurroniHava T Siegelmann

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