Nicole and I discuss how a signature for visual memory can be coded among the same population of neurons known to encode object identity, how the same coding scheme arises in convolutional neural networks trained to identify objects, and how neuroscience and machine learning (reinforcement learning) can join forces to understand how curiosity and novelty drive efficient learning.
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. Welcome to another special panel discussion episode. I was recently invited to...
Support the show to get full episodes and join the Discord community. Steve Byrnes is a physicist turned AGI safety researcher. He's concerned that...
