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.
Stefan and I discuss creativity and constraint in artificial and biological intelligence. We talk about his Asimov Institute and its goal of artificial creativity...
Support the show to get full episodes and join the Discord community. Jolande Fooken is a post-postdoctoral researcher interested in how we move our...
Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver...
