Cognitive Neurodynamics

Papers
(The H4-Index of Cognitive Neurodynamics is 23. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Complex networks and deep learning for EEG signal analysis89
Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach87
EEG-based emotion recognition using 4D convolutional recurrent neural network83
Detecting prostate cancer using deep learning convolution neural network with transfer learning approach72
Electromagnetic induction effects on electrical activity within a memristive Wilson neuron model57
Complex bifurcation analysis and synchronization optimal control for Hindmarsh–Rose neuron model under magnetic flow effect48
Energy dependence on discharge mode of Izhikevich neuron driven by external stimulus under electromagnetic induction48
Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction45
Automated detection of schizophrenia using optimal wavelet-based $$l_1$$ norm features extracted from single-channel EEG44
Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface41
LEDPatNet19: Automated Emotion Recognition Model based on Nonlinear LED Pattern Feature Extraction Function using EEG Signals37
Hamiltonian energy and coexistence of hidden firing patterns from bidirectional coupling between two different neurons37
Identifying COVID-19 by using spectral analysis of cough recordings: a distinctive classification study35
4D attention-based neural network for EEG emotion recognition34
Artificial intelligence enabled intrusion detection systems for cognitive cyber-physical systems in industry 4.0 environment33
A dynamic center and multi threshold point based stable feature extraction network for driver fatigue detection utilizing EEG signals32
Ionic channel blockage in stochastic Hodgkin–Huxley neuronal model driven by multiple oscillatory signals30
Bilinear neural network with 3-D attention for brain decoding of motor imagery movements from the human EEG28
Classification of ASD based on fMRI data with deep learning28
A survey of brain network analysis by electroencephalographic signals26
Direction of information flow between brain regions in ADHD and healthy children based on EEG by using directed phase transfer entropy25
Localizing confined epileptic foci in patients with an unclear focus or presumed multifocality using a component-based EEG-fMRI method25
Brain functional network modeling and analysis based on fMRI: a systematic review23
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