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. 2019 Feb 13;13:3. doi: 10.3389/fnsys.2019.00003

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Copyright © 2019 Coe, Trappenberg and Munoz.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) 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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(A) Graphical representation of the mathematical model. The primary stage shows the eight inputs that were derived from components of neural signals in the brain. The central stage (within the green shaded box) demonstrates the dynamic internal state of the model. Vector c^ext represents the combination of the external inputs. Vector c^int represents the internal connections across the model (Equation 6). Vector u represents internal state of the model (equation 5). Vector a represents output activity from the model (Equation 3). The final stage is the output activity. (B) A graphical representation of the three levels of controlled variability for the Onset Delay, the RoR, and the MaxVal for various inputs (see Table 1).