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Found 3 papers, 1 papers with code
A finer mapping of convolutional neural network layers to the visual cortex
A common approach is to use features extracted from intermediate CNN layers to fit brain encoding models.
Pyrcca: regularized kernel canonical correlation analysis in Python and its applications to neuroimaging
We demonstrate an application of CCA implemented with Pyrcca to neuroimaging data analysis.
Pixels to Voxels: Modeling Visual Representation in the Human Brain
We find that both classes of models accurately predict brain activity in high-level visual areas, directly from pixels and without the need for any semantic tags or hand annotation of images.
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