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:
Jackie and Bob discuss their research and thinking about curiosity. Jackie’s background is studying decision making and attention, recording neurons in nonhuman primates during...
Show notes: Follow Melanie on Twitter: @MelMitchell1. Learn more about what she does at her homepage. Here is her New York Times Op-Ed about...
Part 3 in our 100th episode celebration. Previous guests answered the question: Given the continual surprising progress in AI powered by scaling up parameters...