This has allowed them to forecast the response to around 60 nouns associated with senses, including sight, touch, taste or smell.
Using a computer-based system, researchers at Pittsburgh-based Carnegie Mellon University were able to use MRI scans to prove a 72 per cent accuracy rate in predicting which verbs the brain would associate with a given noun.
"The bottom line, and this is what's really new here, is that nobody had previously even tried to build a theory or computational model that would predict neural activity for arbitrary words," said co-author of the study Tom Mitchell, from the university's computer science's machine learning department.
The researchers are hoping to extend the scope of their work to include using their brain-scan based program to garner greater understanding of medical conditions such as autism or schizophrenia.
.png&h=140&w=231&c=1&s=0)
iTnews Executive Retreat - Security Leaders Edition
_(1).jpg&h=140&w=231&c=1&s=0)
