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. 2015 Aug 24;9:289. doi: 10.3389/fnins.2015.00289

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Copyright © 2015 Christie and Schrater.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Visual display of the relationship between control/neuromodulation (u), energy availability (H_N), energy use (E_use), neural recruitment [NeuralRecruit(x, u)], and performance [Perf(x, u)]. Curves were generated using the equations from Equation (5) and parameters from Table 2. (A) The relationship between control/neuromodulation and energy utilization is modeled as linear, with the slope controlled by the amount of energy available to neurons. (B) Performance as a function of control/neuromodulation on a specific task at different levels of energy availability. This figure illustrates that the same performance can be achieved with different levels of available energy through the application of varying levels of control/neuromodulation. (C) Energy utilization has an upper bound and is affected by both control/neuromodulation and energy availability.