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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:

Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments
Abhiram Iyer, Karan Grewal, Akash Velu, et al.
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
Spyridon Chavlis, Panayiota Poirazi
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
Timo Flesch, Dávid Nagy, Andrew Saxe, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 1, pp. e1010808-e1010808
Open Access | Times Cited: 37
Leveraging dendritic properties to advance machine learning and neuro-inspired computing
Michalis Pagkalos, Roman Makarov, Panayiota Poirazi
Current Opinion in Neurobiology (2024) Vol. 85, pp. 102853-102853
Open Access | Times Cited: 13
Theories of synaptic memory consolidation and intelligent plasticity for continual learning
Friedemann Zenke, Axel Laborieux
Elsevier eBooks (2025)
Open Access | Times Cited: 1
From Deep Learning to Rational Machines
Cameron Buckner
Oxford University Press eBooks (2023)
Closed Access | Times Cited: 19
Contributions by metaplasticity to solving the Catastrophic Forgetting Problem
Peter Jedlička, Matúš Tomko, Anthony Robins, et al.
Trends in Neurosciences (2022) Vol. 45, Iss. 9, pp. 656-666
Closed Access | Times Cited: 23
A GPU-based computational framework that bridges neuron simulation and artificial intelligence
Yichen Zhang, Gan He, Лей Ма, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 15
NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways
Willem A. M. Wybo, Matthias C. Tsai, Viet Anh Tran, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 32
Open Access | Times Cited: 12
Discriminating neural ensemble patterns through dendritic computations in randomly connected feedforward networks
Bhanu Priya Somashekar, Upinder S. Bhalla
eLife (2025) Vol. 13
Open Access
Dysfunctions of cellular context-sensitivity in neurodevelopmental learning disabilities
Alberto Granato, William A. Phillips, Jan M. Schulz, et al.
Neuroscience & Biobehavioral Reviews (2024) Vol. 161, pp. 105688-105688
Open Access | Times Cited: 3
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network
Ikhwan Jeon, Taegon Kim
Frontiers in Computational Neuroscience (2023) Vol. 17
Open Access | Times Cited: 8
Discriminating neural ensemble patterns through dendritic computations in randomly connected feedforward networks
Bhanu Priya Somashekar, Upinder S. Bhalla
(2024)
Open Access | Times Cited: 1
Thalamo-Cortical Interaction for Incremental Binding in Mental Contour-Tracing
Daniel Schmid, Heiko Neumann
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Adaptive preference transfer for personalized IoT entity recommendation
Yan Zhen, Huan Liu, Meiyu Sun, et al.
Pattern Recognition Letters (2022) Vol. 162, pp. 40-46
Closed Access | Times Cited: 5
Long short-term prediction guides human metacognitive reinforcement learning
Sang Wan Lee, Dongjae Kim, Jee Hang Lee, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways
Willem A. M. Wybo, Matthias C. Tsai, Viet Anh Tran, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
Omni-CNN: A Modality-Agnostic Neural Network for Mmwave Beam Selection
Batool Salehi, Debashri Roy, Tong Jian, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 6, pp. 8169-8183
Closed Access
Discriminating neural ensemble patterns through dendritic computations in randomly connected feedforward networks
Bhanu Priya Somashekar, Upinder S. Bhalla
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Hebbian Spatial Encoder with Adaptive Sparse Connectivity
Aleksandr I. Panov, Petr Kuderov, Evgenii Dzhivelikian
(2024)
Closed Access
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks
Lorenzo Pes, Rick Luiken, Federico Corradi, et al.
(2024), pp. 41-45
Open Access
Hebbian spatial encoder with adaptive sparse connectivity
Petr Kuderov, Evgenii Dzhivelikian, Aleksandr I. Panov
Cognitive Systems Research (2024) Vol. 88, pp. 101277-101277
Closed Access
Continual Neural Computation
Matteo Tiezzi, Simone Marullo, Federico Becattini, et al.
Lecture notes in computer science (2024), pp. 340-356
Closed Access
Discriminating neural ensemble patterns through dendritic computations in randomly connected feedforward networks
Bhanu Priya Somashekar, Upinder S. Bhalla
eLife (2024) Vol. 13
Open Access
Soft Adaptive Segments for Bio-Inspired Temporal Memory
Artem Prokhorenko, Evgenii Dzhivelikian, Petr Kuderov, et al.
Lecture notes in computer science (2024), pp. 202-213
Closed Access
Discriminating neural ensemble patterns through dendritic computations in randomly connected feedforward networks
Bhanu Priya Somashekar, Upinder S. Bhalla
(2024)
Open Access
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