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.
Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver...
In this second part of our conversation, (listen to the first part) David and I discuss his thoughts about current language and speech techniques...
Support the show on Patreon for almost nothing. I speak with Tom Griffiths about his “resource-rational framework”, inspired by Herb Simon's bounded rationality and...
