Algorithm for Describing Neuronal Electric Operation

The development of neuroanatomy and neurophysiology has revealed many new details about neurons’ electrical operation over the past few decades, requiring modifications to their theoretical models. The development of computing technology enables us to consider the fine details the new model requires, but it necessitates a different approach. As it was long ago suspected, the faithful simulation of biological processes requires accurately mapping biological time to technical computing time(s). Therefore, the paper focuses on time handling in biology-targeting computations. However, the operation of biology and the physical/mathematical processes in living matter are also unusual from the point of view of algorithmic description. Furthermore, the way technical computing works prevents achieving the needed accuracy in reproducing biological operations using computer programs. We also touch on the question of simulating the operation of their network, contrasted with that of spiking artificial neural networks. On the one side, we use an updated theoretical model that considers neuronal current as charged ions (and so considers thermodynamic effects) and opens the way for explaining mechanical, optical, etc., consequence phenomena of the electric operation. On the other hand, we use a new technology, a tool designed to achieve extreme accuracy in simulating high-speed electronic circuits. The algorithm that applies this model, along with the unusual programming method, provides new insights into both neuronal operation and its computing implementation.