Thought identification refers to the empirically verified use of technology to, in some sense, read people’s minds. Recent research using Neuroimaging has provided some early demonstrations of the technology’s potential to recognize high-order patterns in the brain. In some cases, this provides meaningful (and controversial) information to investigators.
With brain scanning technology becoming increasingly accurate, experts predict important debates over how and when it should be used. One potential area of application is criminal law. Haynes explains that simply refusing to use brain scans on suspects also prevents the wrongly accused from proving their innocence.
Professor of Neuro-Psychology, Barbara Sahakian, qualifies ‘A lot of neuroscientists in the field are very cautious and say we can’t talk about reading individuals’ minds, and right now that is very true, but we’re moving ahead so rapidly, it’s not going to be that long before we will be able to tell whether someone’s making up a story, or whether someone intended to do a crime with a certain degree of certainty.’
When humans think of an object, like a screwdriver, many different areas of the brain activate. This is because what we call Memory is actually distributed associations throughout the brain – using the screwdriver, seeing the screw driver, etc. Psychologist 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 breakthrough 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.
Psychologist John Dylan-Haynes explains that FMRI can also be used to identify recognition in the brain. He provides the example of a criminal being interrogated about whether he recognizes the scene of the crime or murder weapons. Just and Mitchell also claim they are beginning to be able to identify kindness, hypocrisy, and love in the brain.
In 2011, a team led by Shinji Nishimoto used only brain recordings to partially reconstruct what volunteers were seeing. The researchers applied a new model, about how moving object information is processed in human brains, while volunteers watched clips from several videos. An algorithm searched through thousands of hours of external youtube video footage (none of the videos were the same as the ones the volunteers watched) to select the clips that were most similar. The authors have uploaded demos comparing the watched and the computer-estimated videos.
Some researchers in 2008 were able to predict, with 60% accuracy, whether a subject was going to push a button with their left or right hand. This is notable, not just because the accuracy is better than chance, but also because the scientists were able to make these predictions up to 10 seconds before the subject acted – well before the subject felt they had decided. This data is even more striking in light of other research suggesting that the decision to move, and possibly the ability to cancel that movement at the last second, may be the results of unconscious processing.
Emotiv Systems, an Australian electronics company, has demonstrated a headset that can be trained to recognize a user’s thought patterns for different commands. Tan Le demonstrated the headset’s ability to manipulate virtual objects on screen, and discussed various future applications for such brain-computer interface devices, from powering wheel chairs to replacing the mouse and keyboard.
The Daily Omnivore 