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Towards the end of my master's, I became fascinated by memory palaces.


After tinkering with them for a few months, I thought I would use them to bootstrap my knowledge into actual cognitive science research. Questions 



 

My mnemonic feats ordered temporally (most recent at the top):

(J) 99 ideas from “Learning Outside the Brain: Integrating Cognitive Science and Systems Biology” (2022) by Jeremy Gunawardena

(I) 41 ideas from “Play, Curiosity, and Cognition” (2022) by Junyi Chu and Laura E. Schulz

(H) 193 ideas from “Amortized Variational Inference: Towards a Mathematical Foundation and Review” (2022) by Ankush Ganguly, Sanjana Jain, Ukrit Watchareeruetai 

(G) 121 ideas from “Abstraction and Analogy-Making in Artificial Intelligence” (2021) by Melanie Mitchell

(F) 65 ideas from “Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations” (2019) by Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein

(E) 41 ideas from “Deconstructing Episodic Memory with Construction” (2007) by Demis Hassabis and Eleanor Maguire

(D) 122 ideas from “State of the Art on Neural Rendering” (2020) by Ayush Tewari et al. 

(C) 60 ideas from “Compositional Inductive Biases in Function Learning” (2017) by Eric Schulz, Joshua Tenenbaum, David Duvenaud, Maarten Speekenbrink, Samuel Gershman

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

(A) All definitions and results from Chapter 7 of “Abstract Algebra” by David Dummit and Richard Foote

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