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Jess and I discuss construction using graph neural networks. She makes AI agents that build structures to solve tasks in a simulated blocks and glue world using graph neural networks and deep reinforcement learning. We also discuss her work modeling mental simulation in humans and how it could be implemented in machines, and plenty more.
Show notes:
Show notes: Tim’s Neuroscience homepage: Follow Tim on Twitter: @behrenstim. Edward Tolman’s cognitive maps work: Cognitive maps in rats and men. Place Cells and...
Support the show to get full episodes and join the Discord community. The Transmitter is an online publication that aims to deliver useful information,...
Nicole and I discuss how a signature for visual memory can be coded among the same population of neurons known to encode object identity,...