Thomas and I discuss the role of recurrence in visual cognition: how brains somehow excel with so few “layers” compared to deep nets, how feedback recurrence can underlie visual reasoning, how LSTM gate-like processing could explain the function of canonical cortical microcircuits, the current limitations of deep learning networks like adversarial examples, and a bit of history in modeling our hierarchical visual system, including his work with the HMAX model and interacting with the deep learning folks as convolutional neural networks were being developed.
Show Notes:
Follow Julie on Twitter: @julie_grollier. Check out Julie’s website, with links to papers and lots of good summaries of things we discuss, like Memristors,...
Support the show to get full episodes and join the Discord community. Randy and I discuss his long-standing interest in how the brain stores...
Support the show to get full episodes and join the Discord community. The Transmitter is an online publication that aims to deliver useful information,...