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. 2020 Aug 4;14:72. doi: 10.3389/fncom.2020.00072

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Copyright © 2020 Bingham, Paknahad, Girard, Loizos, Bouteiller, Song, Lazzi and Berger.

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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AM-NEURON bidirectional interface can be reduced to an intuitive and methodologically consistent algorithm that ensures field geometry distortion is low and mostly dependent upon mesh resolution at or near current sources. Eventually, this algorithm would be executed at each time-step in a simulation: first the Admittance Method model is solved, then the estimated field is applied to compartments throughout the NEURON model. Then, a single time-step of the NEURON model is solved and compartmental currents are passed back out to the Admittance mesh and the whole process begins again to prepare to simulate the next time-step. Spatial alignment can be accomplished with one of two algorithms: interpolating/splitting to/from a source or shifting a compartment or source to the nearest node in the AM mesh. The details of these two approaches are graphically explained in Figure 6.