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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:

Working models of working memory
Omri Barak, Misha Tsodyks
Current Opinion in Neurobiology (2013) Vol. 25, pp. 20-24
Closed Access | Times Cited: 291

Showing 1-25 of 291 citing articles:

The Distributed Nature of Working Memory
Thomas B. Christophel, P. Christiaan Klink, Bernhard Spitzer, et al.
Trends in Cognitive Sciences (2017) Vol. 21, Iss. 2, pp. 111-124
Open Access | Times Cited: 821
‘Activity-silent’ working memory in prefrontal cortex: a dynamic coding framework
Mark G. Stokes
Trends in Cognitive Sciences (2015) Vol. 19, Iss. 7, pp. 394-405
Open Access | Times Cited: 817
Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges
Jianshi Tang, Fang Yuan, Xinke Shen, et al.
Advanced Materials (2019) Vol. 31, Iss. 49
Closed Access | Times Cited: 613
Neurocognitive Architecture of Working Memory
Johan Eriksson, Edward K. Vogel, Anders Lansner, et al.
Neuron (2015) Vol. 88, Iss. 1, pp. 33-46
Open Access | Times Cited: 606
Dynamic hidden states underlying working-memory-guided behavior
Michael J. Wolff, Janina Jochim, Elkan G. Akyürek, et al.
Nature Neuroscience (2017) Vol. 20, Iss. 6, pp. 864-871
Open Access | Times Cited: 596
Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks
David Sussillo, Omri Barak
Neural Computation (2012) Vol. 25, Iss. 3, pp. 626-649
Closed Access | Times Cited: 516
Discrete attractor dynamics underlies persistent activity in the frontal cortex
H. Inagaki, Lorenzo Fontolan, Sandro Romani, et al.
Nature (2019) Vol. 566, Iss. 7743, pp. 212-217
Open Access | Times Cited: 307
Training Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible Framework
Hui Song, Guangyu Robert Yang, Xiao‐Jing Wang
PLoS Computational Biology (2016) Vol. 12, Iss. 2, pp. e1004792-e1004792
Open Access | Times Cited: 284
Restoring Latent Visual Working Memory Representations in Human Cortex
Thomas C. Sprague, Edward F. Ester, John T. Serences
Neuron (2016) Vol. 91, Iss. 3, pp. 694-707
Open Access | Times Cited: 271
The mechanics of state-dependent neural correlations
Brent Doiron, Ashok Litwin-Kumar, Robert Rosenbaum, et al.
Nature Neuroscience (2016) Vol. 19, Iss. 3, pp. 383-393
Open Access | Times Cited: 255
Stable and Dynamic Coding for Working Memory in Primate Prefrontal Cortex
Eelke Spaak, Kei Watanabe, Shintaro Funahashi, et al.
Journal of Neuroscience (2017) Vol. 37, Iss. 27, pp. 6503-6516
Open Access | Times Cited: 233
Mechanisms of Persistent Activity in Cortical Circuits: Possible Neural Substrates for Working Memory
Joel Zylberberg, Ben W. Strowbridge
Annual Review of Neuroscience (2017) Vol. 40, Iss. 1, pp. 603-627
Open Access | Times Cited: 204
Thalamic control of functional cortical connectivity
Miho Nakajima, Michael M. Halassa
Current Opinion in Neurobiology (2017) Vol. 44, pp. 127-131
Open Access | Times Cited: 203
A Flexible Model of Working Memory
Flora Bouchacourt, Timothy J. Buschman
Neuron (2019) Vol. 103, Iss. 1, pp. 147-160.e8
Open Access | Times Cited: 179
The what, where and how of delay activity
Kartik K. Sreenivasan, Mark D’Esposito
Nature reviews. Neuroscience (2019) Vol. 20, Iss. 8, pp. 466-481
Open Access | Times Cited: 171
Attractor dynamics gate cortical information flow during decision-making
Arseny Finkelstein, Lorenzo Fontolan, Michael N. Economo, et al.
Nature Neuroscience (2021) Vol. 24, Iss. 6, pp. 843-850
Open Access | Times Cited: 115
Pinging the brain to reveal the hidden attentional priority map using encephalography
Dock H Duncan, Dirk van Moorselaar, Jan Theeuwes
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 45
Representation and computation in visual working memory
Paul M. Bays, Sebastian Schneegans, Wei Ji, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 6, pp. 1016-1034
Closed Access | Times Cited: 30
Aperiodic EEG and 7T MRSI evidence for maturation of E/I balance supporting the development of working memory through adolescence
Shane D. McKeon, Maria I. Perica, Ashley C. Parr, et al.
Developmental Cognitive Neuroscience (2024) Vol. 66, pp. 101373-101373
Open Access | Times Cited: 23
The cognitive neuroscience of visual short-term memory
Bradley R. Postle
Current Opinion in Behavioral Sciences (2014) Vol. 1, pp. 40-46
Open Access | Times Cited: 153
Accessing Real-Life Episodic Information from Minutes versus Hours Earlier Modulates Hippocampal and High-Order Cortical Dynamics
Ji Chen, Christopher J. Honey, Erez Simony, et al.
Cerebral Cortex (2015) Vol. 26, Iss. 8, pp. 3428-3441
Open Access | Times Cited: 141
Switching between internal and external modes: A multiscale learning principle
Christopher J. Honey, Ehren L. Newman, Anna C. Schapiro
Network Neuroscience (2017) Vol. 1, Iss. 4, pp. 339-356
Open Access | Times Cited: 125
A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation
Florian Fiebig, Anders Lansner
Journal of Neuroscience (2016) Vol. 37, Iss. 1, pp. 83-96
Open Access | Times Cited: 123
Intrinsic neuronal dynamics predict distinct functional roles during working memory
D. F. Wasmuht, Eelke Spaak, Timothy J. Buschman, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 123
Recapitulation and Reversal of Schizophrenia-Related Phenotypes in Setd1a-Deficient Mice
Jun Mukai, Enrico Cannavò, Gregg W. Crabtree, et al.
Neuron (2019) Vol. 104, Iss. 3, pp. 471-487.e12
Open Access | Times Cited: 113
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