Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Recurrent networks endowed with structural priors explain suboptimal animal behavior
Manuel Molano‐Mazón, Yuxiu Shao, Daniel Duque, et al.
Current Biology (2023) Vol. 33, Iss. 4, pp. 622-638.e7
Open Access | Times Cited: 14

Showing 14 citing articles:

Flexible multitask computation in recurrent networks utilizes shared dynamical motifs
Laura N. Driscoll, Krishna V. Shenoy, David Sussillo
Nature Neuroscience (2024) Vol. 27, Iss. 7, pp. 1349-1363
Open Access | Times Cited: 45
Trial-history biases in evidence accumulation can give rise to apparent lapses in decision-making
Diksha Gupta, Brian DePasquale, Charles D. Kopec, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 26
Performance errors during rodent learning reflect a dynamic choice strategy
Ziyi Zhu, Kishore V. Kuchibhotla
Current Biology (2024) Vol. 34, Iss. 10, pp. 2107-2117.e5
Closed Access | Times Cited: 10
Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks
Alexandra M. Proca, Fernando E. Rosas, Andrea I. Luppi, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 6, pp. e1012178-e1012178
Open Access | Times Cited: 8
Emergent perceptual biases from state-space geometry in trained spiking recurrent neural networks
Luis Serrano-Fernández, Manuel Beirán, Néstor Parga
Cell Reports (2024) Vol. 43, Iss. 7, pp. 114412-114412
Open Access | Times Cited: 3
Steps into a Small World: First glimpses on everyday moment‐to‐moment decision making in an ecologically meaningful multi‐choice system for assessing animal preferences
Fiona Puls, Louisa‐Mae Kosin, Fiona Garbisch, et al.
Ethology (2024) Vol. 130, Iss. 7
Open Access | Times Cited: 2
Natural constraints explain working memory capacity limitations in sensory-cognitive models
Yu Xie, Yu Duan, Aohua Cheng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Rapid, systematic updating of movement by accumulated decision evidence
Manuel Molano‐Mazón, Alexandre Garcia-Duran, Jordi Pastor‐Ciurana, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
A meta reinforcement learning account of behavioral adaptation to volatility in recurrent neural networks
Deniz Tuzsus, Ioannis Pappas, Jan Peters
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Learning to learn: Single session acquisition of new rules by freely-moving mice
Amir Levi, Noam Aviv, Eran Stark
PNAS Nexus (2024) Vol. 3, Iss. 5
Open Access
Rapid, systematic updating of movement by accumulated decision evidence
Manuel Molano‐Mazón, Alexandre Garcia-Duran, Jordi Pastor‐Ciurana, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access
Neural networks: Explaining animal behavior with prior knowledge of the world
Ann H. Kotkat, Steffen Katzner, Laura Busse
Current Biology (2023) Vol. 33, Iss. 4, pp. R138-R140
Open Access | Times Cited: 1
Emergent perceptual biases from state-space geometry in spiking recurrent neural networks trained to discriminate time intervals
Luis Serrano-Fernández, Manuel Beirán, Néstor Parga
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Learning to learn: Single session acquisition of new rules by freely-moving mice
Amir Levi, Noam Aviv, Eran Stark
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Page 1

Scroll to top