pyNeuroSim: Another Python-Based Neuron Simulator

Mathematical models have been devised to comprehend and scrutinize biological neurons' structure and behavioural patterns. In order to assist in the utilization and visualization of these mathematical models for computations, simulations have been designed. In this thesis study, a simulator has been developed to be educational and to require no coding skills. It is intended to have a simple, understandable, and straightforward interface. This simulator includes simple interface pages where users can manually input parameters to be used in the models, and it also includes readymade experiments that serve as examples. Users can then observe the same experiments by changing the initial values. First examples include three separate experiments under the injected current experiment. These are the generation of action potentials as the first, increasing the length of the active region to induce inhibition as the second, and re-establishing action potentials by increasing the injected current, which was inhibited in the second experiment, as the third. Other examples allow for the re-examination of all samples under synaptic transmission at the neuromuscular junction. In addition, it includes an option to simulate temperature changes.