A discipline that deals with the scientific study of the neural system by using computational models and analytical tools
Neuroinformatics is a discipline concerned with the organization of data in neuroscience. Neuroscience is the scientific study of the nervous system and is concerned with the structure, development, function, chemistry, pharmacology, and pathology of the nervous system. Modern tools and technologies (e.g. molecular biology, electrophysiology, computational methods, etc.) led to the advancement of research on nervous system. Neuroscience has a huge scope and is comprised of many sub-disciplines. Neuroinformatics helps in consolidating and presenting information from these sub-disciplines into meaningful, shareable data among them. Some of these data include molecular and cellular data, data from organs and systems, cognitive data, data from developmental neuroscience, aging and disease information, neural engineering data, and data from computational neuroscience.
Neuroinformatics applies computational models and analytical tools in organizing neuroscience data. Experts in this field are called neuroinformaticians. They create interoperable databases for other experts (e.g. clinicians and scientists of another or related field). They develop tools and shareable database for analysis. They also develop tools that would aid in analysis and modeling of the neuroscience data. They also develop computational models that depict neural processes and the nervous system.