Generating natural language representations of mental content from functional brain images
A technology of image generation and natural language, applied in medical images, semantic analysis, medical imaging, etc.
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[0029] This embodiment involves decoding general mental content from functional brain images into a form or representation understandable by humans. This embodiment models how stimuli, such as textual articles, are processed by the human brain. The model is constructed by acquiring brain imaging data while the subject is mentally processing one of a set of stimuli, and the model is used to decode mental content from brain imaging acquired while the subject is processing a different set of stimuli. For example, by using known training data, the model is trained to decode brain imaging data captured while subjects were exposed to unknown and / or test data.
[0030] This embodiment can also generate natural language sentences describing mental content. For example, quantitative representations of mental content are generated, and a separate model generates sentences from those quantitative representations. figure 1 Embodiments for generating natural language representations of m...
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