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Frontiers in Computational Neuroscience|January 11, 2020
A Spike Train Distance Robust to Firing Rate Changes Based on the Earth Mover's DistanceDuho Sihn, Sung-Phil KimFrontiers in Computational Neuroscience|February 13, 2019
Balanced Active Core in Heterogeneous Neuronal NetworksQing-Long L Gu, Songting Li, Wei P Dai, et al.Frontiers in Computational Neuroscience|January 29, 2019
Saccade Velocity Driven Oscillatory Network Model of Grid CellsAnkur Chauhan, Karthik Soman, V Srinivasa ChakravarthyFrontiers in Computational Neuroscience|November 29, 2018
The Anatomy of Inference: Generative Models and Brain StructureThomas Parr, Karl J FristonFrontiers in Computational Neuroscience|March 27, 2020
Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI DataAntoine Ackaouy, Nicolas Courty, Emmanuel Vallée, et al.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 KobylarzPageof 204