Neuroinformatics is an interdisciplinary field dedicated to the acquisition, organization, analysis, and modeling of complex neurological and behavioral data. By integrating neuroscience with computational methods, the field enables researchers to map neural circuits, interpret brain activity patterns, and understand the structural and functional dynamics of the nervous system. Neuroinformatics employs advanced tools such as machine learning, signal processing, network analysis, and large-scale data integration to study imaging datasets, electrophysiological recordings, and molecular profiles. These computational approaches support the development of predictive models of brain function, enhance the diagnosis of neurological disorders, and facilitate the design of targeted therapeutic strategies. As brain research generates increasingly massive and multimodal datasets, robust neuroinformatic frameworks remain essential for advancing neuroscience, improving clinical decision-making, and deepening our understanding of cognition and neural health.