Training was then followed by testing the models, where they had to predict the pattern of activity for the two missing words from the group of 60, and then to figure out which word was which. The results indicated that the models were right almost over seventy five percent of the time on an average.
The next step for the team was to train the models on 59 of the 60 test words, and then showing them a new brain activity pattern where they were provided with a choice of 1,001 words to match it. It was found that the models performed extraordinarily well even in this case.
The results of the study are reported in the journal Science.
Source-ANI
SPH