Enhanced Predictor of Human Cognitive State

Human brain is considered the most complicated and developed one among all the mammals living in the world. Physicist Sir Roger Penrose said "If you look at the entire physical cosmos, our brains are a tiny, tiny part of it. But they're the most perfectly organized part. Compared to the complexity of a brain, a galaxy is just an inert lump." Hence naturally it is considered an active research area. With the emergence of functional magnetic resonance imaging the research to detect unique pattern of brain activation and deduce important finding got motion. As part of this paper I propose a modified and a new methods to improve the accuracy of predictive modelling to predict cognitive state of human brain created earlier.