brain activity are you looking for? ~ ., ., , ., for? we are looking for brain activity that _ for? we are looking for brain activity that is _ for? we are looking for brain activity that is related - for? we are looking for brain activity that is related to - activity that is related to specific ideas or specific words that appear in the stories so for example, whenever you hear somebody talk about parking a car there are certain patterns of activity in the brain that will be present that reliable —— reliably correspond to that kind of idea and we're trying to up that mapping from this very large data set. the computer looks for patterns in the vast amounts of data from the scanner. with enough training it can translate brain activity into words. to it can translate brain activity into words-— it can translate brain activity into words. to see how well it works, into words. to see how well it works. we _ into words. to see how well it works, we picked _ into words. to see how well it works, we picked a _ into words. to see how well it works, we picked a story - into words. to see how well it works, we picked a story for i works, we picked a story for the lead scientist to listen to. ~ ., the lead scientist to listen to. . ., ., . ., , to. the war of the worlds... headphones _ to. the war of the worlds... headphones on, _ to. the war of the worlds... headphones on, he - to. the war of the worlds... headphones on, he went - to. the war of the worlds... | headphones on, he went into to. the war of the worlds... - headphones on, he went into the scanner. , , ., scanner. margins in the pit had turned the _ scanner. margins in the pit had turned the heat _ scanner. margins in the pit had turned the heat read _ scanner. margins in the pit had turned the heat read on - scanner. margins in the pit had turned the heat read on them. | turned the heat read on them. the deep _ turned the heat read on them. the deep throbbing sound, the silver— the deep throbbing sound, the silver pencil of light and...