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Cognitive Neurodynamics|September 30, 2025
Mtfsfn: a multi-view time-frequency-space fusion network for EEG-based emotion recognitionZhongmin Wang, Shengyang GaoCognitive Neurodynamics|September 30, 2025
R-CNN-TPOT: a new hybrid machine learning network for brain age prediction using EEG signalSundas Almas, Pedro Antonio Valdes Sosa, Rana Muhammad Ali Washakh, et al.Cognitive Neurodynamics|September 30, 2025
Complex nonlinear mechanisms for reduced response of hair bundle modulated by efferent nerve for protecting auditory functionBen Cao, Huaguang Gu, Runxia WangCognitive Neurodynamics|September 23, 2025
Towards a transparent and interpretable AI model for medical image classificationsBinbin Wen, Yihang Wu, Tareef Daqqaq, et al.Cognitive Neurodynamics|October 5, 2020
Functional biodynamics of human-body system: A mathematical axiomatics with functional learning and aging in life cycleJochen MauCognitive Neurodynamics|October 5, 2020
Instantaneous mental workload assessment using time-frequency analysis and semi-supervised learningJianhua Zhang, Jianrong Li, Rubin WangCognitive Neurodynamics|October 5, 2020
A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticalitySidney Pontes-Filho, Pedro Lind, Anis Yazidi, et al.Cognitive Neurodynamics|October 5, 2020
Assessing cognitive load in adolescent and adult students using photoplethysmogram morphometricsQi Xuan, Jinxiao Wu, Jianjun Shen, et al.Cognitive Neurodynamics|November 21, 2022
Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuronP R Protachevicz, C A Bonin, K C Iarosz, et al.Cognitive Neurodynamics|November 21, 2022
Machine learning models effectively distinguish attention-deficit/hyperactivity disorder using event-related potentialsElham Ghasemi, Mansour Ebrahimi, Esmaeil EbrahimiePageof 153