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.
In this second part of my conversion with Paul (listen to the first part), we continue our discussion about how to understand brains as...
Support the show to get full episodes and join the Discord community. David runs his lab at NYU, where they stud`y auditory cognition, speech...
[bctt tweet="Check out episode 6 of the Brain Inspired podcast: Deep learning, eyeballs, and brains" username="pgmid"] Mentioned in the show Ryan Poplin What is...
