Neuroinformatics and Computational Neuroscience

The field of neuroinformatics combines informatics and neuroscience. Artificial neural networks are used to process neuroscience data and information in neuroinformatics. Neuroinformatics is a branch of study concerned with the creation of neuroscience data and knowledge bases, as well as computer models and analytical tools for sharing, integrating, and analysing experimental data and the advancement of hypotheses about how the nervous system works. Neuroinformatics is a discipline of neuroscience that studies many elements of neurological systems. It does not deal with matter or energy.

Computational neuroscience is a discipline of neuroscience that studies the principles that regulate the development, structure, physiology, and cognitive capacities of the nervous system using mathematical models, theoretical analyses, and abstractions of the brain. Computational neuroscience is a subfield of theoretical neuroscience that uses computational simulations to evaluate and solve mathematical models; yet, the two subjects are sometimes used interchangeably.

• Deep Learning, Artificial Intelligence and Machine Learning
• Human psychology
• Medical sciences
• Mental models
• Computational anatomy
• Information theory