Grid Cells in Cognition: Mechanisms and Function
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 …
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
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 …
spatial maps for navigation and storage of sequential episodic memories. This dual role of …
Compositionality under time pressure
Compositionality is a central component of the human faculty for generalization and
flexibility. However, the computations involved are poorly understood, especially in terms of …
flexibility. However, the computations involved are poorly understood, especially in terms of …
Episodic and associative memory from spatial scaffolds in the hippocampus
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 …
spatial maps for navigation, and the storage of sequential episodic memories,,,–. Although …
Approximate planning in spatial search
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 …
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 …
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 …
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 …
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
Compositionality is an important and yet poorly understood feature of human cognition. In
this study, participants navigated mazes with hidden, compositional structure, which was …
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 …
in it, when the agent can only perform stochastic actions and---crucially---different nodes …