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Found 3 papers, 1 papers with code
Net2Brain: A Toolbox to compare artificial vision models with human brain responses
We introduce Net2Brain, a graphical and command-line user interface toolbox for comparing the representational spaces of artificial deep neural networks (DNNs) and human brain recordings.
Recurrence is required to capture the representational dynamics of the human visual system
Here, we measure and model the rapid representational dynamics across multiple stages of the human ventral stream using time-resolved brain imaging and deep learning.
Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition
The complex multi-stage architecture of cortical visual pathways provides the neural basis for efficient visual object recognition in humans.
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