top of page

  • 128 ideas from “The molecular memory code and synaptic plasticity: A synthesis” (2023) by Samuel Gershman

  • 70 ideas from “Meta-Learned Models of Cognition” (2023) by Marcel Binz, Ishita Dasgupta, Akshay Jagadish, Matt Botvinick, Jane Wang, and Eric Schulz

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

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

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

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

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

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

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

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

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

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

bottom of page