Search Results - "Cognitive neurodynamics"

Complex networks and deep learning for EEG signal analysis by Gao, Zhongke, Dang, Weidong, Wang, Xinmin, Hong, Xiaolin, Hou, Linhua, Ma, Kai, Perc, Matjaž

“…Electroencephalogram (EEG) signals acquired from brain can provide an effective representation of the human’s physiological and pathological states. Up to now,…”
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Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction by Xu, Quan, Liu, Tong, Ding, Shoukui, Bao, Han, Li, Ze, Chen, Bei

“…Memristive electromagnetic induction effect has been widely explored in bi-neuron network with homogeneous neurons, but rarely in bi-neuron network with…”
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EEG-based emotion recognition using 4D convolutional recurrent neural network by Shen, Fangyao, Dai, Guojun, Lin, Guang, Zhang, Jianhai, Kong, Wanzeng, Zeng, Hong

“…In this paper, we present a novel method, called four-dimensional convolutional recurrent neural network, which integrating frequency, spatial and temporal…”
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EEG classification of driver mental states by deep learning by Zeng, Hong, Yang, Chen, Dai, Guojun, Qin, Feiwei, Zhang, Jianhai, Kong, Wanzeng

“…Driver fatigue is attracting more and more attention, as it is the main cause of traffic accidents, which bring great harm to society and families. This paper…”
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Electromagnetic induction effects on electrical activity within a memristive Wilson neuron model by Xu, Quan, Ju, Zhutao, Ding, Shoukui, Feng, Chengtao, Chen, Mo, Bao, Bocheng

“…Neurons can exhibit abundant electrical activities due to physical effects of various electrophysiology environments. The electromagnetic induction flows can…”
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Artificial intelligence enabled intrusion detection systems for cognitive cyber-physical systems in industry 4.0 environment by Alohali, Manal Abdullah, Al-Wesabi, Fahd N., Hilal, Anwer Mustafa, Goel, Shalini, Gupta, Deepak, Khanna, Ashish

“…In recent days, Cognitive Cyber-Physical System (CCPS) has gained significant interest among interdisciplinary researchers which integrates machine learning…”
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Detecting prostate cancer using deep learning convolution neural network with transfer learning approach by Abbasi, Adeel Ahmed, Hussain, Lal, Awan, Imtiaz Ahmed, Abbasi, Imran, Majid, Abdul, Nadeem, Malik Sajjad Ahmed, Chaudhary, Quratul-Ain

“…Prostate Cancer in men has become one of the most diagnosed cancer and also one of the leading causes of death in United States of America. Radiologists cannot…”
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Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach by Saeedi, Abdolkarim, Saeedi, Maryam, Maghsoudi, Arash, Shalbaf, Ahmad

“…Deep learning techniques have recently made considerable advances in the field of artificial intelligence. These methodologies can assist psychologists in…”
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4D attention-based neural network for EEG emotion recognition by Xiao, Guowen, Shi, Meng, Ye, Mengwen, Xu, Bowen, Chen, Zhendi, Ren, Quansheng

“…Electroencephalograph (EEG) emotion recognition is a significant task in the brain-computer interface field. Although many deep learning methods are proposed…”
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Hamiltonian energy and coexistence of hidden firing patterns from bidirectional coupling between two different neurons by Njitacke, Zeric Tabekoueng, Koumetio, Bernard Nzoko, Ramakrishnan, Balamurali, Leutcho, Gervais Dolvis, Fozin, Theophile Fonzin, Tsafack, Nestor, Rajagopal, Kartikeyan, Kengne, Jacques

“…In this paper, bidirectional-coupled neurons through an asymmetric electrical synapse are investigated. These coupled neurons involve 2D Hindmarsh–Rose (HR)…”
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Automated detection of driver fatigue based on EEG signals using gradient boosting decision tree model by Hu, Jianfeng, Min, Jianliang

“…Driver fatigue is increasingly a contributing factor for traffic accidents, so an effective method to automatically detect driver fatigue is urgently needed…”
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The successful discrimination of depression from EEG could be attributed to proper feature extraction and not to a particular classification method by Čukić, Milena, Stokić, Miodrag, Simić, Slobodan, Pokrajac, Dragoljub

“…Reliable diagnosis of depressive disorder is essential for both optimal treatment and prevention of fatal outcomes. This study aimed to elucidate the…”
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LEDPatNet19: Automated Emotion Recognition Model based on Nonlinear LED Pattern Feature Extraction Function using EEG Signals by Tuncer, Turker, Dogan, Sengul, Subasi, Abdulhamit

“…Electroencephalography (EEG) signals collected from human brains have generally been used to diagnose diseases. Moreover, EEG signals can be used in several…”
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A novel real-time driving fatigue detection system based on wireless dry EEG by Wang, Hongtao, Dragomir, Andrei, Abbasi, Nida Itrat, Li, Junhua, Thakor, Nitish V., Bezerianos, Anastasios

“…Development of techniques for detection of mental fatigue has varied applications in areas where sustaining attention is of critical importance like security…”
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Complex bifurcation analysis and synchronization optimal control for Hindmarsh–Rose neuron model under magnetic flow effect by Wouapi, Marcel Kemayou, Fotsin, Bertrand Hilaire, Ngouonkadi, Elie Bertrand Megam, Kemwoue, Florent Feudjio, Njitacke, Zeric Tabekoueng

“…In this contribution, the complex behaviour of the Hindmarsh–Rose neuron model under magnetic flow effect (mHR) is investigated in terms of bifurcation…”
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Primate brain pattern-based automated Alzheimer's disease detection model using EEG signals by Dogan, Sengul, Baygin, Mehmet, Tasci, Burak, Loh, Hui Wen, Barua, Prabal D., Tuncer, Turker, Tan, Ru-San, Acharya, U. Rajendra

“…Electroencephalography (EEG) may detect early changes in Alzheimer's disease (AD), a debilitating progressive neurodegenerative disease. We have developed an…”
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Energy dependence on discharge mode of Izhikevich neuron driven by external stimulus under electromagnetic induction by Yang, Yumei, Ma, Jun, Xu, Ying, Jia, Ya

“…Energy supply plays a key role in metabolism and signal transmission of biological individuals, neurons in a complex electromagnetic environment must be…”
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Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression by Shoeibi, Afshin, Ghassemi, Navid, Khodatars, Marjane, Moridian, Parisa, Khosravi, Abbas, Zare, Assef, Gorriz, Juan M., Chale-Chale, Amir Hossein, Khadem, Ali, Rajendra Acharya, U.

“…Nowadays, many people worldwide suffer from brain disorders, and their health is in danger. So far, numerous methods have been proposed for the diagnosis of…”
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Classification of ASD based on fMRI data with deep learning by Shao, Lizhen, Fu, Cong, You, Yang, Fu, Dongmei

“…Autism spectrum disorder (ASD) is a neuro-developmental disorder that affects the social abilities of patients. Studies have shown that a small number of…”
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Bifurcation analysis and diverse firing activities of a modified excitable neuron model by Mondal, Argha, Upadhyay, Ranjit Kumar, Ma, Jun, Yadav, Binesh Kumar, Sharma, Sanjeev Kumar, Mondal, Arnab

“…Electrical activities of excitable cells produce diverse spiking-bursting patterns. The dynamics of the neuronal responses can be changed due to the variations…”
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