Grid Cells in Cognition: Mechanisms and Function

LL Dong, IR Fiete - Annual Review of Neuroscience, 2024 - annualreviews.org
The activity patterns of grid cells form distinctively regular triangular lattices over the
explored spatial environment and are largely invariant to visual stimuli, animal movement …

High-capacity flexible hippocampal associative and episodic memory enabled by prestructured “spatial” representations

S Chandra, S Sharma, R Chaudhuri, I Fiete - bioRxiv, 2023 - biorxiv.org
Hippocampal circuits in the brain enable two distinct cognitive functions: construction of
spatial maps for navigation and storage of sequential episodic memories. This dual role of …

Compositionality under time pressure

V Rubino, M Hamidi, P Dayan… - Proceedings of the Annual …, 2023 - escholarship.org
Compositionality is a central component of the human faculty for generalization and
flexibility. However, the computations involved are poorly understood, especially in terms of …

Episodic and associative memory from spatial scaffolds in the hippocampus

S Chandra, S Sharma, R Chaudhuri, I Fiete - Nature, 2025 - nature.com
Hippocampal circuits in the brain enable two distinct cognitive functions: the construction of
spatial maps for navigation, and the storage of sequential episodic memories,,,–. Although …

Approximate planning in spatial search

M Kryven, S Yu, M Kleiman-Weiner… - PLOS Computational …, 2024 - journals.plos.org
How people plan is an active area of research in cognitive science, neuroscience, and
artificial intelligence. However, tasks traditionally used to study planning in the laboratory …

Fast exploration and learning of latent graphs with aliased observations

M Lazaro-Gredilla, I Deshpande… - arxiv preprint arxiv …, 2023 - arxiv.org
We consider the problem of recovering a latent graph where the observations at each node
are\emph {aliased}, and transitions are stochastic. Observations are gathered by an agent …

Structured Representations Underlying Efficient Decision-Making

CG Correa - 2024 - search.proquest.com
Optimal sequential decision-making requires considering a vast number of potential action
sequences, growing exponentially with every step into the future. The theoretical difficulty of …

[PDF][PDF] Integrative, Embodied Agents to Reverse-Engineer Natural Intelligence

A Nayebi - 2024 - kilthub.cmu.edu
0 Background Why study this question? Evolution, spanning the phylogenetic tree from
nematodes to fish, rodents, and primates, has consistently achieved what we have not yet …

[PDF][PDF] Biases towards compositionally simpler hypotheses are robust and unaffected by learning

V Rubino, P Dayan, C Wu - Conference on Cognitive …, 2023 - charleywu.github.io
Compositionality is an important and yet poorly understood feature of human cognition. In
this study, participants navigated mazes with hidden, compositional structure, which was …

Fast exploration and learning of latent graphs with aliased observations

S Swaminathan, M Dave, M Lazaro-Gredilla, D George - openreview.net
We consider the problem of quickly recovering the structure of a latent graph by navigating
in it, when the agent can only perform stochastic actions and---crucially---different nodes …