Fenil R. Doshi

This paper shows that feedforward CNNs can mimic human contour integration without lateral connections, recurrence, or feedback by leveraging receptive field progression and contour bias.

The paper uses self-organizing principles to show that a unified representational space in a deep neural network can produce brain-like topographic motifs similar to the object-responsive cortex.