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 and join the Discord community. Hakwan and I discuss many of the topics in his new book,...
BI NMA 04: Deep Learning Basics Panel This is the 4th in a series of panel discussions in collaboration with Neuromatch Academy, the online...
Support the show to get full episodes and join the Discord community. https://youtu.be/lbKEOdbeqHo The Transmitter is an online publication that aims to deliver useful...
