September 2022

60 ideas from “Memory as a Computational Resource” (2020) by Samuel Gershman and Ishita Dasgupta

This was the first paper that I latched onto within computational cognitive neuroscience. It lured me in because there seemed to be an enormous gap between (1) the ideas in this paper and (2) my naïve intuition about how memorizing ideas influences thought. What if I explore the literature for breadth with the memory palace as my guide and orientation? Every so often I will create and recite from a memory palace containing ideas related to the papers that I'm exploring, which will empower my exploration.

- "What are the memory systems (episodic, declarative, semantic, etc...) that underlie the caching of computations?"

- "In the low-data regime, agents cannot hope to build an accurate internal model of the world, nor can they hope to accurately estimate cached values by averaging samples, so episodic memories may be the agent's best bet."