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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Predictive Representations in Hippocampal and Prefrontal Hierarchies
Iva K. Brunec, Ida Momennejad
Journal of Neuroscience (2021) Vol. 42, Iss. 2, pp. 299-312
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Functionally distinct high and low theta oscillations in the human hippocampus
Abhinav Goyal, Jonathan Miller, Salman E. Qasim, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 201
Learning Structures: Predictive Representations, Replay, and Generalization
Ida Momennejad
Current Opinion in Behavioral Sciences (2020) Vol. 32, pp. 155-166
Open Access | Times Cited: 138
Predictive maps in rats and humans for spatial navigation
William de Cothi, Nils Nyberg, Eva‐Maria Griesbauer, et al.
Current Biology (2022) Vol. 32, Iss. 17, pp. 3676-3689.e5
Open Access | Times Cited: 71
Generative replay underlies compositional inference in the hippocampal-prefrontal circuit
Philipp Schwartenbeck, Alon Baram, Yunzhe Liu, et al.
Cell (2023) Vol. 186, Iss. 22, pp. 4885-4897.e14
Open Access | Times Cited: 52
Neural learning rules for generating flexible predictions and computing the successor representation
Ching Fang, Dmitriy Aronov, LF Abbott, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 41
Dynamic predictive coding: A model of hierarchical sequence learning and prediction in the neocortex
Linxing Preston Jiang, Rajesh P. N. Rao
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011801-e1011801
Open Access | Times Cited: 16
Schemas, reinforcement learning and the medial prefrontal cortex
Oded Bein, Yael Niv
Nature reviews. Neuroscience (2025)
Open Access | Times Cited: 2
Anticipation of temporally structured events in the brain
Caroline S Lee, Mariam Aly, Christopher Baldassano
eLife (2021) Vol. 10
Open Access | Times Cited: 73
From cognitive maps to spatial schemas
Delaram Farzanfar, Hugo J. Spiers, Morris Moscovitch, et al.
Nature reviews. Neuroscience (2022) Vol. 24, Iss. 2, pp. 63-79
Closed Access | Times Cited: 67
Advances in modeling learning and decision-making in neuroscience
Anne Collins, Amitai Shenhav
Neuropsychopharmacology (2021) Vol. 47, Iss. 1, pp. 104-118
Open Access | Times Cited: 61
Emergence of a predictive model in the hippocampus
Adam M. Miller, Alex Jacob, Adam I. Ramsaran, et al.
Neuron (2023) Vol. 111, Iss. 12, pp. 1952-1965.e5
Open Access | Times Cited: 35
Successor-like representation guides the prediction of future events in human visual cortex and hippocampus
Matthias Ekman, Sarah Kusch, Floris P. de Lange
eLife (2023) Vol. 12
Open Access | Times Cited: 31
Predictions transform memories: How expected versus unexpected events are integrated or separated in memory
Oded Bein, Camille Gasser, Tarek Amer, et al.
Neuroscience & Biobehavioral Reviews (2023) Vol. 153, pp. 105368-105368
Open Access | Times Cited: 24
Goal-oriented representations in the human hippocampus during planning and navigation
Jordan Crivelli-Decker, Alex Clarke, Seongmin A. Park, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Entropy and a sub-group of geometric measures of paths predict the navigability of an environment
Demet Yeşiltepe, Pablo Fernández Velasco, Antoine Coutrot, et al.
Cognition (2023) Vol. 236, pp. 105443-105443
Open Access | Times Cited: 18
Learning produces a hippocampal cognitive map in the form of an orthogonalized state machine
Weinan Sun, Johan Winnubst, Maanasa Natrajan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 16
The Neuroscience of Spatial Navigation and the Relationship to Artificial Intelligence
Edgar Bermudez-Contreras, Benjamin J. Clark, Aaron A. Wilber
Frontiers in Computational Neuroscience (2020) Vol. 14
Open Access | Times Cited: 43
Humans account for cognitive costs when finding shortcuts: An information-theoretic analysis of navigation
Gian Luca Lancia, Mattia Eluchans, Marco D’Alessandro, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 1, pp. e1010829-e1010829
Open Access | Times Cited: 13
Local prediction-learning in high-dimensional spaces enables neural networks to plan
Christoph Stöckl, Yukun Yang, Wolfgang Maass
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Predictive Representations: Building Blocks of Intelligence
Wilka Carvalho, Momchil S. Tomov, William de Cothi, et al.
Neural Computation (2024) Vol. 36, Iss. 11, pp. 2225-2298
Open Access | Times Cited: 4
Cognitive maps for hierarchical spaces in the human brain
Michael Peer, Russell A. Epstein
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
A knowledge-driven, generalizable decision-making framework for autonomous driving via cognitive representation alignment
Hongliang Lu, Junjie Yang, Meixin Zhu, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 172, pp. 105030-105030
Closed Access
Multi-timescale reinforcement learning in the brain
Paul Masset, Pablo Tano, HyungGoo R. Kim, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 11
The brain hierarchically represents the past and future during multistep anticipation
Hannah Tarder-Stoll, Christopher Baldassano, Mariam Aly
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 10
Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts
Paul Stoewer, Achim Schilling, Andreas Maier, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
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