paper
referenced-only
1971
paper:doi-10-1016-0006-8993-71-90358-1The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat
ByJohn O’Keefe·Jonathan O. Dostrovsky
Related work— refs + corpus + external arXiv
Cited / in-corpus / arXiv badges show which signals surfaced each row. Multi-source rows weighted higher.
- Bridging Cognitive Maps: a Hierarchical Active Inference Model of Spatial Alternation Tasks and the Hippocampal-Prefrontal CircuitBart Dhoedt, Tim Verbelen, Giovanni Pezzulo Toon Van de Maele2024≈ 75%
- Discretization of continuous input spaces in the hippocampal autoencoderIsmael T. Freire, Paul F. M. J. Verschure Adrian F. Amil2024≈ 74%
- Hippocampus: An Efficient and Scalable Memory Module for Agentic AILianjie Cao, Faraz Ahmed, Puneet Sharma, Bingzhe Li Yi Li2026≈ 73%
- Simulations Approaching Data: Cortical Slow Waves in Inferred Models of the Whole Hemisphere of MouseChiara De Luca, Giulia De Bonis, Robin Gutzen, Irene Bernava, Elena Pastorelli, Francesco Simula, Cosimo Lupo, Leonardo Tonielli, Anna Letizia Allegra Mascaro, Francesco Resta, Francesco Pavone, Micheal Denker, Pier Stanislao Paolucci Cristiano Capone2026≈ 72%
- Active Inference and Intentional BehaviourTommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex Kiefer, Tim Verbelen, Magnus Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett Kagan, Christopher L. Buckley, and Maxwell J. D. Ramstead Karl J. Friston2023≈ 71%
- Building spatial world models from sparse transitional episodic memoriesMaxime Daigle, Pouya Bashivan Zizhan He2026≈ 71%
- Learning Spatial and Temporal Hierarchies: Hierarchical Active Inference for navigation in Multi-Room Maze EnvironmentsToon Van de Maele, Tim Verbelen, Bart Dhoedt Daria de Tinguy2023≈ 71%
- Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and PerformanceThuy Ngoc Nguyen and Anita Williams Woolley and Cleotilde Gonzalez2025≈ 71%
- Exploring Geographic Relative Space in Large Language Models through Activation PatchingRahul Baiju, Stefano Mizzaro, Kevin Roitero Stef De Sabbata2026≈ 71%
- Markov Blankets in the BrainMaxwell Ramstead, Laura Convertino, Anjali Bhat, Karl Friston, Thomas Parr Ines Hipolito2020≈ 71%
- What happens next and when "next" happens: Mechanisms of spatial and temporal predictionDean Wyatte2014≈ 71%
- Episodic Memory for Learning Subjective-Timescale ModelsMatthew Crosby, Zafeirios Fountas Alexey Zakharov2020≈ 71%
- Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real TimeJustin Lieffers, Adarsh Pyarelal Liang Zhang2022≈ 70%
- Artifacts as Memory Beyond the Agent BoundaryFraser Mince, Esra'a Saleh, Amy Pajak John D. Martin2026≈ 70%
- Hierarchical organization of critical brain dynamicsDaniel M. Castro, Leonardo L. Gollo, Pedro V. Carelli and Mauro Copelli Gustavo G. Cambrainha2026≈ 70%
- Relating transformers to models and neural representations of the hippocampal formationin corpus2021≈ 69%
- ≈ 69%
- ≈ 68%
- Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behaviorin corpus2026≈ 68%
- ≈ 67%
- Active Inference: A Process Theoryin corpus2017≈ 67%
- ≈ 67%
- Learning without neurons in physical systemsin corpus2022≈ 67%
- The computational boundary of a 'self': developmental bioelectricity drives multicellularity and scale-free cognitionin corpus2019≈ 67%
- Self-Improvising Memory: A Perspective on Memories as Agential, Dynamically Reinterpreting Cognitive Gluein corpus2024≈ 67%
- ≈ 66%
- Life as we know itin corpus2013≈ 66%
- Collective intelligence: A unifying concept for integrating biology across scales and substratesin corpus2024≈ 66%
- Zoom In: An Introduction to Circuitsin corpus2020≈ 66%
- Active Inference, Curiosity and Insightin corpus2017≈ 66%
Similar preprints — Semantic Scholar
Cited by (2)
- Relating transformers to models and neural representations of the hippocampal formation
Transformers equipped with recurrent position encodings spontaneously learn grid cells, band cells, and place cell-like representations when trained on sequential spatial prediction tasks—representati
- Active inference on discrete state-spaces: a synthesis
Active inference on discrete state-spaces, formalized as partially observable Markov decision processes (POMDPs) with likelihood matrix A, transition matrix B, and prior D, unifies perception, plannin