Learning Structures: Predictive Representations, Replay, and Generalization

Cited by (157)

Items 101–157 of 157

1. Structuring the environment nudges participants toward hierarchical over shortest path planning
   Valeria Simonelli, Davide Nuzzi, Gian Luca Lancia, Giovanni Pezzulo · 2025 · Consciousness and Cognition
2. A computational model of learning flexible navigation in a maze by layout-conforming replay of place cells
   Yuanxiang Gao · 2023 · Frontiers in Computational Neuroscience
3. AIGenC: AI Generalisation via Creativity
   Corina Cătărău-Cotuţiu, Esther Mondragón, Eduardo Alonso · 2023 · Lecture notes in computer science
4. Hippocampal and medial prefrontal cortices encode structural task representations following progressive and interleaved training schedules
   Sam C. Berens, Chris M. Bird · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
5. Instructed Motivational States Bias Reinforcement Learning and Memory Formation
   Alyssa Hannah Sinclair, Yuxi Candice Wang, R. Alison Adcock · 2022
6. Associative Learning of an Unnormalized Successor Representation
   Niels J. Verosky · 2024 · Neural Computation
7. Children leverage predictive representations for flexible, value-guided choice
   Alice Zhang, Ari E. Kahn, Nathaniel D. Daw, Kate Nussenbaum, Catherine A. Hartley · 2025 · Cognition
8. A common serial structure causes offline excitability changes linked to generalization between different memory types
   Alberto Failla, Martina Bracco, Edwin M. Robertson · 2025 · Current Biology
9. Boundary Vector Cells Encode a Future‐Biased Spectrum of Positions in the Rat
   Ehren Lee Newman, Inna Mashanova-Galikova, Zoran Tiganj, Colin Lever · 2026 · Hippocampus
10. Long-horizon associative learning as a unifying framework for statistical learning across scales
    Lucas Benjamin, Ana Fló, Fosca Al Roumi, Ghislaine Dehaene‐Lambertz · 2026 · Proceedings of the National Academy of Sciences
11. The spread of affective and semantic valence representations across states
    Orit Heimer, Uri Hertz · 2024 · Cognition
12. Expanding horizons in reinforcement learning for curious exploration and creative planning
    Dale Zhou, Aaron M. Bornstein · 2024 · Behavioral and Brain Sciences
13. Gaze dynamics prior to navigation support hierarchical planning
    Jeremy Raboff Gordon, John Chung-I Chuang, Giovanni Pezzulo · 2026 · PLoS ONE
14. Spatialization of Time in the Entorhinal-Hippocampal System
    Troy M. Houser · 2022 · Frontiers in Behavioral Neuroscience
15. Hippocampal and medial prefrontal cortices encode structural task representations following progressive and interleaved training schedules
    Sam C. Berens, Chris M. Bird · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
16. Recurrent Inhibitory Dynamics in the Entorhinal Cortex Support Pattern Separation
    Yicong Zheng, James W. Antony, Charan Ranganath, Randall C. O’Reilly · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
17. Hippocampus responds to mismatches with predictions based on episodic memories but not generalised knowledge
    Dominika Varga, Petar Raykov, Elizabeth Jefferies, Aya Ben-Yakov, Chris M. Bird · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
18. Long-Horizon associative learning as a unifying framework for statistical learning across scales
    Lucas Benjamin, Ana Fló, Fosca Al Roumi, Ghislaine Dehaene‐Lambertz · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
19. Causal necessity of human hippocampus for structure-based inference in learning
    Deng Pan, Simone D’Ambrogio, Naomi Kingston, Miruna Rascu, Pranav Sankhe, Shuyi Luo, Miriam C. Klein-Flügge, Ali Mahmoodi, Matthew F. S. Rushworth · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
20. Habituation and goal-directed arbitration mechanisms and failures under partial observability
    Martí Sánchez-Fibla · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
21. Inferring Actions, Intentions, and Causal Relations in a Neural Network
    Keno Juechems, Andrew Saxe · 2021
22. Evolution of predictive memory in the hippocampus
    Adam M. P. Miller, Alex D. Jacob, Adam I. Ramsaran, Mitchell L. de Snoo, Sheena A. Josselyn, Paul W. Frankland · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
23. Hippocampal replay anticipates the hexagonal axes that structure human navigation behaviour
    Bo Zhang, Siqi Tu, Jia Liu · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
24. A unified neural representation model for spatial and semantic computations
    Tatsuya Haga, Yohei Oseki, Tomoki Fukai · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
25. Reactivation strength during cued recall is modulated by graph distance within cognitive maps
    Simon Kern, Juliane Nagel, Martin Fungisai Gerchen, Çağatay Necati Gürsoy, Andreas Meyer‐Lindenberg, Peter Kirsch, Raymond J. Dolan, Steffen Gais, Gordon B. Feld · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
26. Human-like Task Adaptation in Artificial Agents with `What' and `Where' Representations
    Arthur Juliani, Margaret E. Sereno · 2023 · PsyArXiv (OSF Preprints)
27. Neural representation of future states in the mouse cortex
    Ahmad Suhaimi Bin Ahmad Ishak · 2022
28. Reactivation strength during cued recall is modulated by graph distance within cognitive maps
    Simon Kern, Juliane Nagel, Martin Fungisai Gerchen, Cagatay Guersoy, Andreas Meyer‐Lindenberg, Peter Kirsch, Raymond J. Dolan, Steffen Gais, Gordon B. Feld · 2023
29. Reactivation strength during cued recall is modulated by graph distance within cognitive maps
    Simon Kern, Juliane Nagel, Martin Fungisai Gerchen, Cagatay Guersoy, Andreas Meyer‐Lindenberg, Peter Kirsch, Raymond J. Dolan, Steffen Gais, Gordon B. Feld · 2024 · eLife
30. Overcoming distortion in multidimensional predictive representation
    Euan Prentis, Akram Bakkour · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
31. Algebras of actions in an agent's representations of the world
    Alexander Dean, Eduardo Alonso, Esther Mondragón · 2025 · Artificial Intelligence
32. Coding of Space and Time for Memory Function
    Michael Erik Hasselmo, Jennifer C. Robinson, Patrick A. LaChance, Jacob H. Wilmot, Lucius K. Wilmerding, Samantha Malmberg, Mahir Patel, Quan H Do, G. William Chapman · 2025 · Oxford University Press eBooks
33. What Has Episodic Memory Got to Do with Space and Time?
    Ian B. Phillips · 2025 · Oxford University Press eBooks
34. Memory and Planning in Brains and Machines
    Ida Momennejad · 2025 · Oxford University Press eBooks
35. Radical Embodied Relation at any Scale, from Remembering to Navigating
    Andrea Hiott · 2025 · Topoi
36. A framework for uniting space and time in the mind and brain
    Troy M. Houser · 2025 · Frontiers in Cognition
37. Overcoming distortion in multidimensional predictive representation
    Euan Prentis, Akram Bakkour · 2025 · eLife
38. Time-resolved functional connectivity during visuomotor graph learning
    Sophie Loman, Lorenzo Caciagli, Shubhankar P. Patankar, Ari E. Kahn, Karol P. Szymula, Nathaniel Nyema, Dani S. Bassett · 2025 · NeuroImage
39. Modeling Spatial and Conceptual Representations in Hippocampus
    Tatsuya Haga · 2025 · The Brain & Neural Networks
40. Overcoming distortion in multidimensional predictive representation
    Euan Prentis, Akram Bakkour · 2025 · eLife
41. A normative account of human temporal structure learning
    Niloufar Razmi, Xufeng Caesar Dai, Leah Bakst, Matthew R. Nassar · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
42. Associative updates for temporal contingencies
    Niels J. Verosky · 2026 · Journal of Mathematical Psychology
43. Where learning paths meet: Convergence and divergence of statistical and reinforcement learning
    Ambra Ferrari, Floris P. de Lange, Athena Akrami · 2026 · Current Opinion in Neurobiology
44. How does curriculum learning influence cognitive map formation?
    Leonie Glitz, Zilu Liang, Helen C. Barron, Christopher Summerfield · 2026 · eLife
45. How does curriculum learning influence cognitive map formation?
    Leonie Glitz, Zilu Liang, Helen C. Barron, Christopher Summerfield · 2026 · eLife
46. Spatial representations without spatial computations
    Marco Marelli, Luca Rinaldi, Daniele Gatti · 2023 · OSF Preprints (OSF Preprints)
47. Toward a unified theory of social relationships and social networks
    Jae-Young Son · 2026 · Behavioral and Brain Sciences
48. Developmental Change in Structure Learning Reflects a Shift From Recency‐Based to Relational Prediction
    Kate Nussenbaum, Ari E. Kahn, Alice Zhang, Nathaniel D. Daw, Catherine A. Hartley · 2026 · Developmental Science
49. Hierarchical Active Inference Using Successor Representations
    Prashant Rangarajan, Rajesh P. N. Rao · 2026 · Neural Computation
50. Acetylcholine: a candidate substrate for hippocampal predictive learning?
    William de Cothi, Sarah Shipley, Caswell Barry · 2026 · Nature reviews. Neuroscience
51. Forming, selecting and updating cognitive maps to support flexible behaviour: relevance for anxiety
    Yuheng Shi, Mona M. Garvert · 2026 · Philosophical Transactions of the Royal Society B Biological Sciences
52. Wired for coherence: a network theory of self
    Anu Aggarwal, Brent Hughes · 2026 · Trends in Cognitive Sciences
53. Brain's world model is smarter than we think
    Minsu Abel Yang, Heejun Kim, Jiewon Kang, Sang Wan Lee · 2026 · Current Opinion in Behavioral Sciences
54. Relational memory structure among prior neutral episodes guides Pavlovian threat responses
    Błażej M. Bączkowski, Arno Villringer · 2026 · Learning & Memory
55. The cognitive scaffolding of tinkering: Directed innovation and strategic social transmission
    Shen Tian, Björn Lindström · 2026 · Behavioral and Brain Sciences
56. The successor representation in high-risk drinking and alcohol-related contexts
    Milena Philomena Maria Musial, Sam Hall-McMaster, Kanji Shimomura, Ayaka Kato, Erik Lukas Bode, Clarissa Carolin Grundmann, Claudia Ebrahimi, Kenji Morita, Samuel Joseph Gershman, Tanja Endraß et al. · 2026 · PLoS Computational Biology
57. The Schematic Brain: The Neurophysiology of Behavioral Schemas
    Ido Maor, Wenhui Zong, Dilara Gostolupce, Geoffrey M. Schoenbaum · 2026 · The Neuroscientist