AUTHOR=Pereira Francisco , Detre Greg , Botvinick Matthew TITLE=Generating Text from Functional Brain Images JOURNAL=Frontiers in Human Neuroscience VOLUME=5 YEAR=2011 URL=https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2011.00072 DOI=10.3389/fnhum.2011.00072 ISSN=1662-5161 ABSTRACT=

Recent work has shown that it is possible to take brain images acquired during viewing of a scene and reconstruct an approximation of the scene from those images. Here we show that it is also possible to generate text about the mental content reflected in brain images. We began with images collected as participants read names of concrete items (e.g., “Apartment’’) while also seeing line drawings of the item named. We built a model of the mental semantic representation of concrete concepts from text data and learned to map aspects of such representation to patterns of activation in the corresponding brain image. In order to validate this mapping, without accessing information about the items viewed for left-out individual brain images, we were able to generate from each one a collection of semantically pertinent words (e.g., “door,” “window” for “Apartment’’). Furthermore, we show that the ability to generate such words allows us to perform a classification task and thus validate our method quantitatively.