interface devices, from powering wheel chairs to replacing the mouse and keyboard. Detecting attention It is possible to track which of two forms of rivalrous binocular illusions a person was subjectively experiencing from fMRI signals. When humans think of an object, such as a screwdriver, many different areas of the brain activate. Marcel Just and his colleague, Tom Mitchell, have used fMRI brain scans to teach a computer to identify the various parts of the brain associated with specific thoughts. This technology also yielded a discovery: similar thoughts in different human brains are surprisingly similar neurologically. To illustrate this, Just and Mitchell used their computer to predict, based on nothing but fMRI data, which of several images a volunteer was thinking about. The computer was 100% accurate, but so far the machine is only distinguishing between 10 images. Detecting thoughts The category of event which a person freely recalls can be identified from fMRI before they say what they remembered. December 16, 2015, a study conducted by Toshimasa Yamazaki at Kyushu Institute of Technology found that during a rock-paper-scissors game a computer was able to determine the choice made by the subjects before they moved their hand. An EEG was used to measure activity in the Broca's area to see the words two seconds before the words were uttered. Detecting language Statistical analysis of EEG brainwaves has been claimed to allow the recognition of phonemes, and at a 60% to 75% level color and visual shape words. On 31 January 2012 Brian Pasley and colleagues of University of California Berkeley published their paper in PLoS Biology wherein subjects' internal neural processing of auditory information was decoded and reconstructed as sound on computer by gathering and analyzing electrical signals directly from subjects' brains. The research team conducted their studies on the superior temporal gyrus, a region of the brain that is involved in higher order neural processing to make semantic sense from auditory information. The research team used a computer model to analyze various parts of the brain that might be involved in neural firing while processing auditory signals. Using the computational model, scientists were able to identify the brain activity involved in processing auditory information when subjects were presented with recording of individual words. Later, the computer model of auditory information processing was used to reconstruct some of the words back into sound based on the neural processing of the