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Frontiers in Computational Neuroscience|October 17, 2022
Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learningDaniel Haşegan, Matt Deible, Christopher Earl, et al.Frontiers in Computational Neuroscience|October 17, 2022
Analysis based on neural representation of natural object surfaces to elucidate the mechanisms of a trained AlexNet modelNobuhiko Wagatsuma, Akinori Hidaka, Hiroshi TamuraFrontiers in Computational Neuroscience|October 17, 2022
Computational modeling of trans-synaptic nanocolumns, a modulator of synaptic transmissionXiaoting Li, Gabriel Hémond, Antoine G Godin, et al.Frontiers in Computational Neuroscience|June 23, 2025
Enhancing medical image privacy in IoT with bit-plane level encryption using chaotic mapFatima Asiri, Wajdan Al Malwi, Tamara Zhukabayeva, et al.Frontiers in Computational Neuroscience|November 6, 2025
An AI methodology to reduce training intensity, error rates, and size of neural networksThaddeus J A KobylarzFrontiers in Computational Neuroscience|June 30, 2025
Reductionist modeling of calcium-dependent dynamics in recurrent neural networksMustafa Zeki, Tamer DagFrontiers in Computational Neuroscience|April 24, 2025
TourismNeuro xLSTM: neuro-inspired xLSTM for rural tourism planning and innovationJing Jiang, You LiFrontiers in Computational Neuroscience|November 17, 2025
Universal differential equations as a unifying modeling language for neuroscienceAhmed El-Gazzar, Marcel van GervenFrontiers in Computational Neuroscience|November 7, 2025
Sudden restructuring of memory representations in recurrent neural networks with repeated stimulus presentationsJonathon R HowlettFrontiers in Computational Neuroscience|August 18, 2025
Exploring subthreshold processing for next-generation TinyAIFarid Nakhle, Antoine H Harfouche, Hani Karam, et al.Pageof 201