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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:

Learning spatiotemporal signals using a recurrent spiking network that discretizes time
Amadeus Maes, Mauricio Barahona, Claudia Clopath
PLoS Computational Biology (2020) Vol. 16, Iss. 1, pp. e1007606-e1007606
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Regulation of circuit organization and function through inhibitory synaptic plasticity
Yue Kris Wu, Christoph Miehl, Julijana Gjorgjieva
Trends in Neurosciences (2022) Vol. 45, Iss. 12, pp. 884-898
Closed Access | Times Cited: 56
Toward the Optimal Design and FPGA Implementation of Spiking Neural Networks
Wenzhe Guo, Hasan Erdem Yantır, Mohammed E. Fouda, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 8, pp. 3988-4002
Closed Access | Times Cited: 41
Neuromorphic bioelectronic medicine for nervous system interfaces: from neural computational primitives to medical applications
Elisa Donati, Giacomo Indiveri
Progress in Biomedical Engineering (2023) Vol. 5, Iss. 1, pp. 013002-013002
Open Access | Times Cited: 17
Encoding time in neural dynamic regimes with distinct computational tradeoffs
Shanglin Zhou, Sotiris C. Masmanidis, Dean V. Buonomano
PLoS Computational Biology (2022) Vol. 18, Iss. 3, pp. e1009271-e1009271
Open Access | Times Cited: 27
Formation and computational implications of assemblies in neural circuits
Christoph Miehl, Sebastian Onasch, Dylan Festa, et al.
The Journal of Physiology (2022) Vol. 601, Iss. 15, pp. 3071-3090
Open Access | Times Cited: 23
Single spikes drive sequential propagation and routing of activity in a cortical network
Juan Luis Riquelme, Mike Hemberger, Gilles Laurent, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 13
Adaptive learning via BG-thalamo-cortical circuitry
Qin He, Daniel N. Scott, Michael J. Frank, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network
Ian Cone, Harel Z. Shouval
eLife (2021) Vol. 10
Open Access | Times Cited: 26
A brain-inspired computational model for spatio-temporal information processing
Xiaohan Lin, Xiaolong Zou, Zilong Ji, et al.
Neural Networks (2021) Vol. 143, pp. 74-87
Open Access | Times Cited: 24
Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits
Cristian Buc Calderon, Tom Verguts, Michael J. Frank
PLoS Computational Biology (2022) Vol. 18, Iss. 2, pp. e1009854-e1009854
Open Access | Times Cited: 17
Emergence of brain-inspired small-world spiking neural network through neuroevolution
Wenxuan Pan, Feifei Zhao, Bing Han, et al.
iScience (2024) Vol. 27, Iss. 2, pp. 108845-108845
Open Access | Times Cited: 3
Creation of Neuronal Ensembles and Cell-Specific Homeostatic Plasticity through Chronic Sparse Optogenetic Stimulation
Benjamin Liu, Michael J. Seay, Dean V. Buonomano
Journal of Neuroscience (2022) Vol. 43, Iss. 1, pp. 82-92
Open Access | Times Cited: 15
Sequence learning, prediction, and replay in networks of spiking neurons
Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 6, pp. e1010233-e1010233
Open Access | Times Cited: 13
Robust Trajectory Generation for Robotic Control on the Neuromorphic Research Chip Loihi
Carlo Michaelis, Andrew B. Lehr, Christian Tetzlaff
Frontiers in Neurorobotics (2020) Vol. 14
Open Access | Times Cited: 17
Spatiotemporal dynamics in spiking recurrent neural networks using modified-full-FORCE on EEG signals
Γεώργιος Ιωαννίδης, Ioannis Kourouklides, Alessandro Astolfi
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 11
Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation
Xiaohe Xue, Ralf Wimmer, Michael M. Halassa, et al.
Cognitive Computation (2022) Vol. 15, Iss. 4, pp. 1167-1189
Open Access | Times Cited: 9
Weight versus Node Perturbation Learning in Temporally Extended Tasks: Weight Perturbation Often Performs Similarly or Better
Paul Züge, Christian Klos, Raoul-Martin Memmesheimer
Physical Review X (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 5
Long- and short-term history effects in a spiking network model of statistical learning
Amadeus Maes, Mauricio Barahona, Claudia Clopath
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Skip-Connected Self-Recurrent Spiking Neural Networks With Joint Intrinsic Parameter and Synaptic Weight Training
Wenrui Zhang, Peng Li
Neural Computation (2021) Vol. 33, Iss. 7, pp. 1886-1913
Open Access | Times Cited: 12
Constraints on Hebbian and STDP learned weights of a spiking neuron
Dominique Chu, Huy L. Nguyễn
Neural Networks (2021) Vol. 135, pp. 192-200
Open Access | Times Cited: 11
Composing recurrent spiking neural networks using locally-recurrent motifs and risk-mitigating architectural optimization
Wenrui Zhang, Hejia Geng, Peng Li
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
A neural basis for learning sequential memory in brain loop structures
Duho Sihn, Sung-Phil Kim
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Target spike patterns enable efficient and biologically plausible learning for complex temporal tasks
Paolo Muratore, Cristiano Capone, Pier Stanislao Paolucci
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0247014-e0247014
Open Access | Times Cited: 10
Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons
Amadeus Maes, Mauricio Barahona, Claudia Clopath
PLoS Computational Biology (2021) Vol. 17, Iss. 3, pp. e1008866-e1008866
Open Access | Times Cited: 10
Extreme neural machines
Megan Boucher-Routhier, Bill Ling Feng Zhang, Jean‐Philippe Thivierge
Neural Networks (2021) Vol. 144, pp. 639-647
Closed Access | Times Cited: 8
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