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.
Dileep’s homepage. Dileep on Twitter: @dileeplearning Vicarious, the general AI robotics company Dileep cofounded. Vicarious on Twitter: @vicariousai. The papers we discuss: A generative...
Sanjeev and I discuss some of the progress toward understanding how deep learning works, specially under previous assumptions it wouldn’t or shouldn’t work as...
In this second part of my discussion with Wolfgang (check out the first part), we talk about spiking neural networks in general, principles of...
