 Techniques for decoding information processing (using machine learning) suggests that processing in lmFG becomes more finely tuned to word form. Initially, lmFG represents a more gist-like representation but then develops more precise representations that individuate words of similar form. These converging results provide evidence that the areas stimulated carry information about word form such that in disrupting that activity, word perception was selectively disrupted.