Neurological simulation is a research methodology that employs computational models to replicate, analyze, and understand the structure, function, and dynamics of biological neural systems at various levels of complexity, ranging from single neurons to large-scale brain networks. This approach enables the testing of theoretical hypotheses regarding neural mechanisms underlying cognitive processes, behavior, and neurological disorders, providing a controlled environment for experimentation not always feasible in biological systems and contributing to advancements in neuroscience, artificial intelligence, and neurotechnology.