Open Access Helper

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:

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

Showing 11 citing articles:

The role of prospective contingency in the control of behavior and dopamine signals during associative learning
Lechen Qian, Mark Burrell, Jay A. Hennig, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 8
A feature-specific prediction error model explains dopaminergic heterogeneity
Rachel S. Lee, Yotam Sagiv, Ben Engelhard, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 33
Reward timescale controls the rate of behavioral and dopaminergic learning
Dennis A. Burke, Annie Taylor, Huijeong Jeong, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 16
Prospective contingency explains behavior and dopamine signals during associative learning
Lechen Qian, Mark Burrell, Jay A. Hennig, et al.
Nature Neuroscience (2025)
Closed Access
A prospective code for value in the serotonin system
Emerson F. Harkin, Cooper D. Grossman, Jeremiah Y. Cohen, et al.
Nature (2025)
Closed Access
Ramping cells in the rodent medial prefrontal cortex encode time to past and future events via real Laplace transform
Rui Cao, Ian M. Bright, Marc W. Howard
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 38
Open Access | Times Cited: 1
Learning Temporal Relationships Between Symbols with Laplace Neural Manifolds
Marc W. Howard, Zahra G. Esfahani, Long Bao Le, et al.
Computational Brain & Behavior (2024)
Closed Access | Times Cited: 1
Computational and neural evidence for altered fast and slow learning from losses in gambling disorder
Kiyohito Iigaya, Tobias Larsen, Timothy Fong, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures
Devdhar Patel, Terrence J. Sejnowski, Hava T. Siegelmann
Neural Computation (2024) Vol. 36, Iss. 12, pp. 2734-2763
Closed Access
The Agoutis: A Future Model for Ecologically Relevant Neuroscience and Physiology In Natura
Juan Ignacio Sanguinetti-Scheck, D. Gálvez
Ethology (2024) Vol. 130, Iss. 12
Open Access
Navigating the Unknown: Leveraging Self-Information and Diversity in Partially Observable Environments
Devdhar Patel, Hava T. Siegelmann
Biochemical and Biophysical Research Communications (2024) Vol. 741, pp. 150923-150923
Closed Access
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