Disentangling with Biological Constraints: A Theory of Functional Cell Types. - James C. R. Whittington; Will Dorrell; Surya Ganguli; Timothy Edward John Behrens (CoRR, 2022)

A differential Hebbian framework for biologically-plausible motor control. - Sergio Oscar Verduzco-Flores; William Dorrell; Erik De Schutter (Neural Networks, 2022)

Actionable Neural Representations: Grid Cells from Minimal Constraints. - Will Dorrell; Peter E. Latham; Tim E. J. Behrens; James C. R. Whittington (ICLR, 2023)

Disentanglement with Biological Constraints: A Theory of Functional Cell Types. - James C. R. Whittington; Will Dorrell; Surya Ganguli; Timothy Behrens (ICLR, 2023)

Meta-Learning the Inductive Bias of Simple Neural Circuits. - Will Dorrell; Maria Yuffa; Peter E. Latham (ICML, 2023)

Disentanglement via Latent Quantization. - Kyle Hsu; William Dorrell; James C. R. Whittington; Jiajun Wu 001; Chelsea Finn (NeurIPS, 2023)

Don't Cut Corners: Exact Conditions for Modularity in Biologically Inspired Representations. - Will Dorrell; Kyle Hsu; Luke Hollingsworth; Jin Hwa Lee; Jiajun Wu 001; Chelsea Finn; Peter E. Latham; Timothy Edward John Behrens; James C. R. Whittington (CoRR, 2024)

Range, not Independence, Drives Modularity in Biologically Inspired Representations. - Will Dorrell; Kyle Hsu; Luke Hollingsworth; Jin Hwa Lee; Jiajun Wu 001; Chelsea Finn; Peter E. Latham; Timothy Edward John Behrens; James C. R. Whittington (ICLR, 2025)