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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:

Ultrafast simulation of large-scale neocortical microcircuitry with biophysically realistic neurons
Viktor Janos Oláh, Nigel P. Pedersen, Matthew JM Rowan
eLife (2022) Vol. 11
Open Access | Times Cited: 14

Showing 14 citing articles:

Rapid estimation of cortical neuron activation thresholds by transcranial magnetic stimulation using convolutional neural networks
Aman S. Aberra, Adrián Valdrés López, Warren M. Grill, et al.
NeuroImage (2023) Vol. 275, pp. 120184-120184
Open Access | Times Cited: 7
Simulations of cortical networks using spatially extended conductance‐based neuronal models
Darrell Haufler, Shinya Ito, Christof Koch, et al.
The Journal of Physiology (2022) Vol. 601, Iss. 15, pp. 3123-3139
Open Access | Times Cited: 12
Quantitative models of auditory cortical processing
Srivatsun Sadagopan, Manaswini Kar, Satyabrata Parida
Hearing Research (2023) Vol. 429, pp. 108697-108697
Open Access | Times Cited: 2
Predicting the temporal-dynamic trajectories of cortical neuronal responses in non-human primates based on deep spiking neural network
Jie Zhang, Liwei Huang, Zhengyu Ma, et al.
Cognitive Neurodynamics (2023) Vol. 18, Iss. 4, pp. 1977-1988
Closed Access | Times Cited: 2
Artificial neurons and perfect zombies
J.F. Pagel
Elsevier eBooks (2024), pp. 229-244
Closed Access
Multitask learning of a biophysically-detailed neuron model
Jonas Verhellen, Kosio Beshkov, Sebastian Amundsen, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 7, pp. e1011728-e1011728
Open Access
Beyond-local neural information processing in neuronal networks
Johannes Balkenhol, Barbara Händel, Saroj Biswas, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 4288-4305
Open Access
Multitask Learning of Biophysically-Detailed Neuron Models
Jonas Verhellen, Kosio Beshkov, Sebastian Amundsen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Bridging Hierarchies in Multi-Scale Models of Neural Systems: Look-Up Tables Enable Computationally Efficient Simulations of Non-linear Synaptic Dynamics
Duy-Tan J. Pham, Gene J. Yu, Jean‐Marie C. Bouteiller, et al.
Frontiers in Computational Neuroscience (2021) Vol. 15
Open Access | Times Cited: 2
Reproducibility of biophysicalin siliconeuron states and spikes from event-based partial histories
Evan Cudone, Amelia M. Lower, Robert A. McDougal
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Reproducibility of biophysical in silico neuron states and spikes from event-based partial histories
Evan Cudone, Amelia M. Lower, Robert A. McDougal
PLoS Computational Biology (2023) Vol. 19, Iss. 10, pp. e1011548-e1011548
Open Access
Single-Entity Spiking Neuron Models: Survey
Leon Parepko, Danila Shulepin, Albert Nasybullin
(2023), pp. 205-208
Closed Access
A faster way to model neuronal circuitry
Andrew P. Davison, Shailesh Appukuttan
eLife (2022) Vol. 11
Open Access
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