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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:

Hippocampal formation-inspired probabilistic generative model
Akira Taniguchi, Ayako Fukawa, Hiroshi Yamakawa
Neural Networks (2022) Vol. 151, pp. 317-335
Open Access | Times Cited: 19

Showing 19 citing articles:

Global remapping emerges as the mechanism for renewal of context-dependent behavior in a reinforcement learning model
David Kappel, Sen Cheng
Frontiers in Computational Neuroscience (2025) Vol. 18
Open Access
A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots
Tadahiro Taniguchi, Hiroshi Yamakawa, Takayuki Nagai, et al.
Neural Networks (2022) Vol. 150, pp. 293-312
Open Access | Times Cited: 23
The memory systems of the human brain and generative artificial intelligence
Edmund T. Rolls
Heliyon (2024) Vol. 10, Iss. 11, pp. e31965-e31965
Open Access | Times Cited: 4
Generalized Simultaneous Localization and Mapping (G-SLAM) as unification framework for natural and artificial intelligences: towards reverse engineering the hippocampal/entorhinal system and principles of high-level cognition
Adam Safron, Ozan Çatal, Tim Verbelen
Frontiers in Systems Neuroscience (2022) Vol. 16
Open Access | Times Cited: 18
The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain
Hiroshi Yamakawa
Neural Networks (2021) Vol. 144, pp. 478-495
Open Access | Times Cited: 20
Generalized Simultaneous Localization and Mapping (G-SLAM) as unification framework for natural and artificial intelligences: towards reverse engineering the hippocampal/entorhinal system and principles of high-level cognition
Adam Safron, Ozan Çatal, Tim Verbelen
(2021)
Open Access | Times Cited: 18
SBC-SLAM: Semantic Bio-inspired Collaborative SLAM for Large-Scale Environment Perception of Heterogeneous Systems
Dong Liu, J. -W. Wu, Yu Du, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 2
Active exploration based on information gain by particle filter for efficient spatial concept formation
Akira Taniguchi, Yoshiaki Tabuchi, Tomochika Ishikawa, et al.
Advanced Robotics (2023) Vol. 37, Iss. 13, pp. 840-870
Open Access | Times Cited: 5
Human-inspired autonomous driving: A survey
Alice Plebe, Henrik Svensson, Sara Mahmoud, et al.
Cognitive Systems Research (2023) Vol. 83, pp. 101169-101169
Open Access | Times Cited: 3
Double Articulation Analyzer With Prosody for Unsupervised Word and Phone Discovery
Yasuaki Okuda, Ryo Ozaki, Soichiro Komura, et al.
IEEE Transactions on Cognitive and Developmental Systems (2022) Vol. 15, Iss. 3, pp. 1335-1347
Open Access | Times Cited: 5
Neural Networks special issue on Artificial Intelligence and Brain Science
Kenji Doya, Karl Friston, Masashi Sugiyama, et al.
Neural Networks (2022) Vol. 155, pp. 328-329
Open Access | Times Cited: 4
Technology Roadmap Toward the Completion of Whole-Brain Architecture with Bra-Driven Development
Hiroshi Yamakawa, Yoshimasa Tawatsuji, Yuta Ashihara, et al.
(2024)
Closed Access
Technology roadmap toward the completion of whole-brain architecture with BRA-driven development
Hiroshi Yamakawa, Yoshimasa Tawatsuji, Yuta Ashihara, et al.
Cognitive Systems Research (2024), pp. 101300-101300
Open Access
Hippocampal formation-inspired global self-localization: quick recovery from the kidnapped robot problem from an egocentric perspective
Takeshi Nakashima, Shunsuke Otake, Akira Taniguchi, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access
A Hippocampus-Inspired Environment-Specific Knowledge Acquisition System Utilizing Common Knowledge with Contextual Information
Akinobu Mizutani, Yuichiro Tanaka, Hakaru Tamukoh, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access
On Parallelism in Music and Language: A Perspective from Symbol Emergence Systems Based on Probabilistic Generative Models
Tadahiro Taniguchi
Lecture notes in computer science (2023), pp. 9-25
Closed Access | Times Cited: 1
Global remapping emerges as the mechanism for renewal of context-dependent behavior in a reinforcement learning model
David Kappel, Sen Cheng
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Editorial: Constructive approach to spatial cognition in intelligent robotics
Akira Taniguchi, Michael Spranger, Hiroshi Yamakawa, et al.
Frontiers in Neurorobotics (2022) Vol. 16
Open Access
The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain
Hiroshi Yamakawa
arXiv (Cornell University) (2021)
Closed Access
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