Brain image visualization

Abstract

This paper intends to highlight a solution that has been obtained by the amalgamation of machine learning and brain image visualization. This solution has been presented to improve the comprehension of a brain’s logical proficiency to recognize and visualize objects and elements by means of noise, movements, and possible through emotions as well. This is achieved by executing the same ideas on a computer and exhibiting the objects or ideas that are produced by the brain on the screen of the computer. In relation to the tendency of humans in learning everything sequentially by amassing data and then producing a picture of it in our mind, the computers will follow the same concept by making use of datasets. Likewise, it evaluates every process consecutively by creating an image and associating it with the data presented in the dataset. After the extraction of ample data the computer further produces a pattern depending on the collected interpretations. Every time a word or a notion flashes, it tends to compare the word with the previously produced signal pattern. It also potentially exhibits the advancement of this technology for enhanced and smart robots that benefit mankind.