Inverse retinotopy: inferring the visual content of images from brain activation patterns.

@article{Thirion2006InverseRI,
  title={Inverse retinotopy: inferring the visual content of images from brain activation patterns.},
  author={Bertrand Thirion and Edouard Duchesnay and Edward Hubbard and Jessica Dubois and Jean-Baptiste Poline and Denis Lebihan and Stanislas Dehaene},
  journal={NeuroImage},
  year={2006},
  volume={33 4},
  pages={1104-16}
}
Traditional inference in neuroimaging consists in describing brain activations elicited and modulated by different kinds of stimuli. Recently, however, paradigms have been studied in which the converse operation is performed, thus inferring behavioral or mental states associated with activation images. Here, we use the well-known retinotopy of the visual cortex to infer the visual content of real or imaginary scenes from the brain activation patterns that they elicit. We present two decoding… CONTINUE READING
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