An encoder-decoder CNN predicts visual-cortex fMRI from movie frames and reconstructs frames from the predicted fMRI, with saliency maps pointing to occipital and fusiform regions.
Cortical response to naturalistic stimuli is largely predictable with deep neural networks,
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Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli
An encoder-decoder CNN predicts visual-cortex fMRI from movie frames and reconstructs frames from the predicted fMRI, with saliency maps pointing to occipital and fusiform regions.