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Metamers of neural networks reveal divergence from human perceptual systems [video] 
Calibrating Generative Models: The Probabilistic Chomsky-Schützenberger Hierarchy 
A conversation with Prof. Thomas Serre 
Feedforward and feedback processes in visual recognition 
Beyond Empirical Risk Minimization: the lessons of deep learning ![Embedded thumbnail for Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs [video]](https://cbmm.mit.edu/sites/default/files/styles/youtube_thumbnail_220w/public/youtube/IqkOZhfGEYs.jpg?itok=42RJOJiM)
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs [video] 
Universal and Non-universal Features of Musical Pitch Perception Revealed by Singing 
A distributional point of view on hierarchy 
Neuroscience Methods Tutorial (44:08) 
Extending the Frontiers of Computing to Power the Data Revolution 
