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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:

A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing
Guozhang Chen, Franz Scherr, Wolfgang Maass
Science Advances (2022) Vol. 8, Iss. 44
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Data-driven multiscale computational models of cortical and subcortical regions
Srikanth Ramaswamy
Current Opinion in Neurobiology (2024) Vol. 85, pp. 102842-102842
Closed Access | Times Cited: 16
How deep is the brain? The shallow brain hypothesis
Mototaka Suzuki, Cyriel M. A. Pennartz, Jaan Aru
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 12, pp. 778-791
Closed Access | Times Cited: 39
Brain-Inspired Computing: A Systematic Survey and Future Trends
Guoqi Li, Lei Deng, Huajin Tang, et al.
Proceedings of the IEEE (2024) Vol. 112, Iss. 6, pp. 544-584
Open Access | Times Cited: 13
On non-von Neumann flexible neuromorphic vision sensors
Hao Wang, Bin Sun, Shuzhi Sam Ge, et al.
npj Flexible Electronics (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 11
Emergence of syntax and word prediction in an artificial neural circuit of the cerebellum
Keiko Ohmae, Shogo Ohmae
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Integrating multimodal data to understand cortical circuit architecture and function
Anton Arkhipov, Nuno Maçarico da Costa, Saskia de Vries, et al.
Nature Neuroscience (2025)
Closed Access
Neural heterogeneity enhances reliable neural information processing: Local sensitivity and globally input-slaved transient dynamics
Shengdun Wu, Haiping Huang, Sheng-Jun Wang, et al.
Science Advances (2025) Vol. 11, Iss. 14
Open Access
Parvalbumin and Somatostatin: Biomarkers for Two Parallel Tectothalamic Pathways in the Auditory Midbrain
Mengting Liu, Yixiao Gao, Fengyuan Xin, et al.
Journal of Neuroscience (2024) Vol. 44, Iss. 10, pp. e1655232024-e1655232024
Open Access | Times Cited: 3
CleverCOMSRL: Implementation of an AI Computer-Aided Design System in the Context of the Cognitive Science Paradigm for the Research Training Process
Olena Hrybiuk, Shashi Kant Gupta
Lecture notes in mechanical engineering (2024), pp. 351-362
Closed Access | Times Cited: 3
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
Mathematical models of learning and what can be learned from them
Omri Barak, Misha Tsodyks
Current Opinion in Neurobiology (2023) Vol. 80, pp. 102721-102721
Closed Access | Times Cited: 5
In and Out of Criticality? State-Dependent Scaling in the Rat Visual Cortex
Daniel M. Castro, Thaís Feliciano, Nivaldo A. P. de Vasconcelos, et al.
PRX Life (2024) Vol. 2, Iss. 2
Open Access | Times Cited: 1
Whether pattern memory can be truly realized in deep neural network?
Zhenping Xie, Tingting Li, Ruimin Lyu
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Towards human-leveled vision systems
Jianhao Ding, Tiejun Huang
Science China Technological Sciences (2024) Vol. 67, Iss. 8, pp. 2331-2349
Open Access | Times Cited: 1
Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons
Salvador Durá-Bernal, Beatriz Herrera, Carmen Alina Lupaşcu, et al.
Journal of Neuroscience (2024) Vol. 44, Iss. 40, pp. e1236242024-e1236242024
Closed Access | Times Cited: 1
Pattern memory cannot be completely and truly realized in deep neural networks
Tingting Li, Ruimin Lyu, Zhenping Xie
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Brain Inspired Computing: A Systematic Survey and Future Trends
Guoqi Li, Lei Deng, Huajing Tang, et al.
(2023)
Open Access | Times Cited: 3
How can neuromorphic hardware attain brain-like functional capabilities?
Wolfgang Maass
National Science Review (2023) Vol. 11, Iss. 5
Open Access | Times Cited: 2
Neural Heterogeneity Enhances Reliable Neural information Processing: Local Sensitivity and Globally Input-slaved Transient Dynamics
Shengdun Wu, Haiping Huang, Sheng-Jun Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Memory-efficient neurons and synapses for spike-timing-dependent-plasticity in large-scale spiking networks
Pablo Alejandro de Abreu Urbizagastegui, André van Schaik, Runchun Wang
Frontiers in Neuroscience (2024) Vol. 18
Open Access
motorSRNN: A spiking recurrent neural network inspired by brain topology for the effective and efficient decoding of cortical spike trains
Tengjun Liu, Yansong Chua, Yuxiao Ning, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106745-106745
Closed Access
Iterative Fine-Grained Genetic Algorithm for Inferring Connection Weights in Large-Scale Biophysical Mouse V1 Model
Wenjie Chen, Ming Li, Peize Li, et al.
Lecture notes in computer science (2024), pp. 397-409
Closed Access
Identification of movie encoding neurons enables movie recognition AI
Masaki Hiramoto, Hollis T. Cline
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 48
Open Access
Random Heterogeneous Spiking Neural Network for Adversarial Defense
Jihang Wang, Dongcheng Zhao, Chengcheng Du, et al.
(2024)
Closed Access
Chaotic recurrent neural networks for brain modelling: A review
Andrea Mattera, Valerio Alfieri, Giovanni Granato, et al.
Neural Networks (2024) Vol. 184, pp. 107079-107079
Open Access
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