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...
Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver...
Alison and I discuss her work to accelerate learning and thus improve AI by studying how children learn, as Alan Turing suggested in his...
