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:

Interactive reservoir computing for chunking information streams
Toshitake Asabuki, Naoki Hiratani, Tomoki Fukai
PLoS Computational Biology (2018) Vol. 14, Iss. 10, pp. e1006400-e1006400
Open Access | Times Cited: 14

Showing 14 citing articles:

A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning
Heng Zhang, Danilo Vasconcellos Vargas
IEEE Access (2023) Vol. 11, pp. 81033-81070
Open Access | Times Cited: 23

Somatodendritic consistency check for temporal feature segmentation
Toshitake Asabuki, Tomoki Fukai
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 30

Energy-Efficient Sleep Apnea Detection Using a Hyperdimensional Computing Framework Based on Wearable Bracelet Photoplethysmography
Tian Chen, Jingtao Zhang, Zeju Xu, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 8, pp. 2483-2494
Closed Access | Times Cited: 3

The Unit and Size of Information Supporting Auditory Feedback for Voice User Interface
Min Chul, Hyo Chang Kim, Yong Gu Ji
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 12, pp. 3071-3080
Closed Access | Times Cited: 2

Chaotic recurrent neural networks for brain modelling: A review
Andrea Mattera, Valerio Alfieri, Giovanni Granato, et al.
Neural Networks (2024) Vol. 184, pp. 107079-107079
Open Access

Neural mechanisms for learning hierarchical structures of information
Tomoki Fukai, Toshitake Asabuki, Tatsuya Haga
Current Opinion in Neurobiology (2021) Vol. 70, pp. 145-153
Open Access | Times Cited: 3

Fostering Event Compression Using Gated Surprise
Dania Humaidan, Sebastian Otte, Martin V. Butz
Lecture notes in computer science (2020), pp. 155-167
Closed Access | Times Cited: 2

Artificial Dendritic Neurons Enable Self-Supervised Temporal Feature Extraction
Toshitake Asabuki, Tomoki Fukai
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 1

Fostering Event Compression using Gated Surprise
Dania Humaidan, Sebastian Otte, Martin V. Butz
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1

Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy
Nathan Trouvain, Nicolas P. Rougier, Xavier Hinaut
Lecture notes in computer science (2022), pp. 91-102
Closed Access | Times Cited: 1

Computational insights on asymmetrical $$D_{1}$$ and $$D_{2}$$ receptor-mediated chunking: implications for OCD and Schizophrenia
Krisztina Szalisznyó, David Silverstein
Cognitive Neurodynamics (2023) Vol. 18, Iss. 1, pp. 217-232
Open Access

Symmetrical SyncMap for imbalanced general chunking problems
Heng Zhang, Danilo Vasconcellos Vargas
Physica D Nonlinear Phenomena (2023) Vol. 456, pp. 133923-133923
Open Access

Temporal feature analysis in brain-inspired neural systems
Tomoki Fukai, Toshitake Asabuki
(2019), pp. 1-2
Closed Access

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