59 citations · 113 across the 7 of their papers we have counts for
4 papers · 1 filter
Disentanglement with Biological Constraints: A Theory of Functional Cell Types
James C. R. Whittington, Will Dorrell, Surya Ganguli +1
Neurons in the brain are often finely tuned for specific task variables. Moreover, such disentangled representations are highly sought after in machine learning. Here we mathematic…
Actionable Neural Representations: Grid Cells from Minimal Constraints
William Dorrell, Peter E. Latham, Timothy E. J. Behrens +1
To afford flexible behaviour, the brain must build internal representations that mirror the structure of variables in the external world. For example, 2D space obeys rules: the sam…
Replay and compositional computation
Zeb Kurth-Nelson, Timothy Behrens, Greg Wayne +5
Replay in the brain has been viewed as rehearsal, or, more recently, as sampling from a transition model. Here, we propose a new hypothesis: that replay is able to implement a form…
How to build a cognitive map: insights from models of the hippocampal formation
James C. R. Whittington, David McCaffary, Jacob J. W. Bakermans +1
Learning and interpreting the structure of the environment is an innate feature of biological systems, and is integral to guiding flexible behaviours for evolutionary viability. Th…