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Citations to this Journal [5,983 citations: 101–200 of 5,213 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 5,983 times. The following is a list of the 5,213 articles that have cited the articles published in Computational Intelligence and Neuroscience.

  • Christoph Dinh, Lorenz Esch, Johannes Rühle, Steffen Bollmann, Daniel Güllmar, Daniel Baumgarten, Matti S. Hämäläinen, and Jens Haueisen, “Real-Time Clustered Multiple Signal Classification (RTC-MUSIC),” Brain Topography, 2017. View at Publisher · View at Google Scholar
  • Jane E. Huggins, Christoph Guger, Mounia Ziat, Thorsten O. Zander, Denise Taylor, Michael Tangermann, Aureli Soria-Frisch, John Simeral, Reinhold Scherer, Rüdiger Rupp, Giulio Ruffini, Douglas K. R. Robinson, Nick F. Ramsey, Anton Nijholt, Gernot Müller-Putz, Dennis J. McFarland, Donatella Mattia, Brent J. Lance, Pieter-Jan Kindermans, Iñaki Iturrate, Christian Herff, Disha Gupta, An H. Do, Jennifer L. Collinger, Ricardo Chavarriaga, Steven M. Chase, Martin G. Bleichner, Aaron Batista, Charles W. Anderson, and Erik J. Aarnoutse, “Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future,” Brain-Computer Interfaces, pp. 1–34, 2017. View at Publisher · View at Google Scholar
  • Lenis Meriño, Tapsya Nayak, Prasanna Kolar, Garrett Hall, Zijing Mao, Daniel J. Pack, and Yufei Huang, “Asynchronous control of unmanned aerial vehicles using a steady-state visual evoked potential-based brain computer interface,” Brain-Computer Interfaces, pp. 1–14, 2017. View at Publisher · View at Google Scholar
  • J. K. Nuamah, and Younho Seong, “Support vector machine (SVM) classification of cognitive tasks based on electroencephalography (EEG) engagement index,” Brain-Computer Interfaces, pp. 1–12, 2017. View at Publisher · View at Google Scholar
  • Carolyn Benson, Laura Hornby, Bryan Young, Loretta Norton, Raechelle M. Gibson, Teneille Gofton, Sonny Dhanani, Sam D. Shemie, and Roxanne Ward, “Electroencephalographic Recordings during Withdrawal of Life-Sustaining Therapy until 30 Minutes after Declaration of Death,” Canadian Journal of Neurological Sciences, vol. 44, no. 2, pp. 139–145, 2017. View at Publisher · View at Google Scholar
  • Clément Zankoc, Tommaso Biancalani, Duccio Fanelli, and Roberto Livi, “Diffusion approximation of the stochastic Wilson–Cowan model,” Chaos, Solitons & Fractals, vol. 103, pp. 504–512, 2017. View at Publisher · View at Google Scholar
  • Manuela A. D. Aguiar, Ana Paula S. Dias, and Flora Ferreira, “Patterns of synchrony for feed-forward and auto-regulation feed-forward neural networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 27, no. 1, pp. 013103, 2017. View at Publisher · View at Google Scholar
  • Eleanor A. Campbell, Evan Peterson, and Dmitry M. Kolpashchikov, “Self-Assembling Molecular Logic Gates Based on DNA Crossover Tiles,” ChemPhysChem, 2017. View at Publisher · View at Google Scholar
  • Feng Lin, Zhongli Jiang, and Shaoqiang Cheng, “Functional brain network analyses of language functions in non-fluent aphasics,” Chinese Journal of Rehabilitation Medicine, vol. 32, no. 3, pp. 269–287, 2017. View at Publisher · View at Google Scholar
  • Ethan R Buch, Emiliano Santarnecchi, Andrea Antal, Jan Born, Pablo A Celnik, Joseph lassen, Christian Gerloff, Mark Hallett, Friedhelm C Hummel, Michael A Nitsche, Alvaro Pascual-Leone, Walter J Paulus, Janine Reis, Edwin M Robertson, John C Rothwell, Marco Sandrini, Heidi M Schambra, Eric M Wassermann, Ulf Ziemann, and Leonardo G Cohen, “Effects of tDCS on motor learning and memory formation: a consensus and critical position paper,” Clinical Neurophysiology, 2017. View at Publisher · View at Google Scholar
  • Sung Wook Chung, Benjamin P. Lewis, Nigel C. Rogasch, Takashi Saeki, Richard H. Thomson, Kate E. Hoy, Neil W. Bailey, and Paul B. Fitzgerald, “Demonstration of short-term plasticity in the dorsolateral prefrontal cortex with theta burst stimulation: A TMS-EEG study,” Clinical Neurophysiology, 2017. View at Publisher · View at Google Scholar
  • Pragati Rao Mandikal Vasuki, Mridula Sharma, Ronny Ibrahim, and Joanne Arciuli, “Statistical learning and auditory processing in children with music training: an ERP study,” Clinical Neurophysiology, 2017. View at Publisher · View at Google Scholar
  • Kousik Sarathy Sridharan, Andreas Højlund, Erik Lisbjerg Johnsen, Niels Aagaard Sunde, Lars Gottfried Johansen, Sándor Beniczky, and Karen Østergaard, “Differentiated effects of deep brain stimulation and medication on somatosensory processing in Parkinson’s disease,” Clinical Neurophysiology, 2017. View at Publisher · View at Google Scholar
  • Loes Koelewijn, Aline Bompas, Andrea Tales, Matthew J. Brookes, Suresh D. Muthukumaraswamy, Antony Bayer, and Krish D. Singh, “Alzheimer's disease disrupts alpha and beta-band resting-state oscillatory network connectivity,” Clinical Neurophysiology, 2017. View at Publisher · View at Google Scholar
  • L.M. Schweizer, P.K. Zahn, E.M. Pogatzki-Zahn, W. Magerl, M. Tegenthoff, and C.H. Meyer-Frießem, “Influence of transcutaneous spinal stimulation on human LTP-like pain amplification. A randomized, double-blind study in volunteers,” Clinical Neurophysiology, 2017. View at Publisher · View at Google Scholar
  • Elias P. Casula, Alessandra Bertoldo, Vincenza Tarantino, Michele Maiella, Giacomo Koch, John C. Rothwell, Gianna M. Toffolo, and Patrizia S. Bisiacchi, “TMS-evoked long-lasting artefacts: a new adaptive algorithm for EEG signal correction,” Clinical Neurophysiology, 2017. View at Publisher · View at Google Scholar
  • Golnoush Alamian, Ana-Sofía Hincapié, Annalisa Pascarella, Thomas Thiery, Etienne Combrisson, Anne-Lise Saive, Véronique Martel, Dmitrii Althukov, Frédéric Haesebaert, and Karim Jerbi, “Measuring alterations in oscillatory brain networks in Schizophrenia with resting-state MEG: State-of-the-art and methodological challenges,” Clinical Neurophysiology, 2017. View at Publisher · View at Google Scholar
  • Margitta Seeck, Laurent Koessler, Thomas Bast, Frans Leijten, Christoph Michel, Christoph Baumgartner, Bin He, and Sándor Beniczky, “The standardized EEG electrode array of the IFCN,” Clinical Neurophysiology, 2017. View at Publisher · View at Google Scholar
  • L. Bonetti, N.T. Haumann, P. Vuust, M. Kliuchko, and E. Brattico, “Risk of depression enhances auditory pitch discrimination in the brain as indexed by the Mismatch Negativity,” Clinical Neurophysiology, 2017. View at Publisher · View at Google Scholar
  • Christos Tsiokos, Mahsa Malekmohammadi, Nicholas Au Yong, and Nader Pouratian, “Pallidal low β-low γ phase-amplitude coupling inversely correlates with Parkinson disease symptoms,” Clinical Neurophysiology, 2017. View at Publisher · View at Google Scholar
  • Michelle A. O'Reilly, Joe Bathelt, Elena Sakkalou, Hanna Sakki, Alison Salt, Naomi Dale, and Michelle de Haan, “Frontal EEG asymmetry and later behavior vulnerability in infants with congenital visual impairment,” Clinical Neurophysiology, 2017. View at Publisher · View at Google Scholar
  • S. Lew, M.S. Hämäläinen, and Y. Okada, “Toward noninvasive monitoring of ongoing electrical activity of human uterus and fetal heart and brain,” Clinical Neurophysiology, 2017. View at Publisher · View at Google Scholar
  • Jun-ichi Uemura, and Minoru Hoshiyama, “The temporal stability and variability across frequency bands in neural synchrony between primary and secondary somatosensory areas following somatosensory stimulation,” Clinical Neurophysiology Practice, 2017. View at Publisher · View at Google Scholar
  • Nor Safira Elaina, Aamir Saeed Malik, Wafaa Khazaal Shams, Nasreen Badruddin, Jafri Malin Abdullah, and Mohammad Faruque Reza, “Localized N20 Component of Somatosensory Evoked Magnetic Fields in Frontoparietal Brain Tumor Patients Using Noise-Normalized Approaches,” Clinical Neuroradiology, 2017. View at Publisher · View at Google Scholar
  • Amit Singh, and Sujita Kumar Kar, “How Electroconvulsive Therapy Works?: Understanding the Neurobiological Mechanisms,” Clinical Psychopharmacology and Neuroscience, vol. 15, no. 3, pp. 210–221, 2017. View at Publisher · View at Google Scholar
  • Palmira Bernocchi, Chiara Mora, Fabio Vanoglio, Chiara Mulè, Francesca Garofali, Giovanni Taveggia, Simonetta Scalvini, and Alberto Luisa, “Feasibility and efficacy of a robotic device for hand rehabilitation in hemiplegic stroke patients: A randomized pilot controlled study,” Clinical Rehabilitation, vol. 31, no. 3, pp. 351–360, 2017. View at Publisher · View at Google Scholar
  • Wei Gao, Mohammad Reza Farahani, Adnan Aslam, and Sunilkumar Hosamani, “Distance learning techniques for ontology similarity measuring and ontology mapping,” Cluster Computing, 2017. View at Publisher · View at Google Scholar
  • Heidemarie Zach, Michiel F. Dirkx, Jaco W. Pasman, Bastiaan R. Bloem, and Rick C. Helmich, “Cognitive Stress Reduces the Effect of Levodopa on Parkinson's Resting Tremor,” CNS Neuroscience & Therapeutics, 2017. View at Publisher · View at Google Scholar
  • Nicola Molinaro, Francesco Giannelli, Sendy Caffarra, and Clara Martin, “Hierarchical levels of representation in language prediction: The influence of first language acquisition in highly proficient bilinguals,” Cognition, vol. 164, pp. 61–73, 2017. View at Publisher · View at Google Scholar
  • Sayan Chakraborty, Nilanjan Dey, Sourav Samanta, Amira S. Ashour, C. Barna, and M. M. Balas, “Optimization of Non-rigid Demons Registration Using Cuckoo Search Algorithm,” Cognitive Computation, 2017. View at Publisher · View at Google Scholar
  • Martina Knežević, and Ksenija Marinković, “Neurodynamic correlates of response inhibition from emerging to mid adulthood,” Cognitive Development, vol. 43, pp. 106–118, 2017. View at Publisher · View at Google Scholar
  • Pierre Bonzon, “Towards neuro-inspired symbolic models of cognition: linking neural dynamics to behaviors through asynchronous communications,” Cognitive Neurodynamics, 2017. View at Publisher · View at Google Scholar
  • A. Khasnobish, S. Datta, R. Bose, D. N. Tibarewala, and A. Konar, “Analyzing text recognition from tactually evoked EEG,” Cognitive Neurodynamics, 2017. View at Publisher · View at Google Scholar
  • Nasibeh Talebi, Ali Motie Nasrabadi, and Iman Mohammad-Rezazadeh, “Estimation of effective connectivity using multi-layer perceptron artificial neural network,” Cognitive Neurodynamics, 2017. View at Publisher · View at Google Scholar
  • Laura Herde, Valentina Rossi, Gilles Pourtois, and Karsten Rauss, “Early retinotopic responses to violations of emotion?location associations may depend on conscious awareness,” Cognitive Neuroscience, pp. 1–18, 2017. View at Publisher · View at Google Scholar
  • Artyom Zinchenko, Christian Obermeier, Philipp Kanske, Erich Schröger, and Sonja A. Kotz, “Positive emotion impedes emotional but not cognitive conflict processing,” Cognitive, Affective, & Behavioral Neuroscience, 2017. View at Publisher · View at Google Scholar
  • Mojtaba Soltanlou, Christina Artemenko, Thomas Dresler, Florian B. Haeussinger, Andreas J. Fallgatter, Ann-Christine Ehlis, and Hans-Christoph Nuerk, “Increased arithmetic complexity is associated with domain-general but not domain-specific magnitude processing in children: A simultaneous fNIRS-EEG study,” Cognitive, Affective, & Behavioral Neuroscience, 2017. View at Publisher · View at Google Scholar
  • Philipp Spachtholz, and Christof Kuhbandner, “Visual long-term memory is not unitary: Flexible storage of visual information as features or objects as a function of affect,” Cognitive, Affective, & Behavioral Neuroscience, 2017. View at Publisher · View at Google Scholar
  • Obaid Ur Rehman, Shiyou Yang, and Shafi Ullah Khan, “A modified quantum-based particle swarm optimization for engineering inverse problem,” COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 36, no. 1, pp. 168–187, 2017. View at Publisher · View at Google Scholar
  • M. Lavanga, O. De Wel, A. Caicedo, K. Jansen, A. Dereymaeker, G. Naulaers, and S. Van Huffel, “Monitoring Effective Connectivity in the Preterm Brain: A Graph Approach to Study Maturation,” Complexity, vol. 2017, pp. 1–13, 2017. View at Publisher · View at Google Scholar
  • Zhe Xiao, Yi Ding, Tian Lan, Cong Zhang, Chuanji Luo, and Zhiguang Qin, “Brain MR Image Classification for Alzheimer’s Disease Diagnosis Based on Multifeature Fusion,” Computational and Mathematical Methods in Medicine, vol. 2017, pp. 1–13, 2017. View at Publisher · View at Google Scholar
  • Yuanfa Wang, Zunchao Li, Lichen Feng, Chuang Zheng, and Wenhao Zhang, “Automatic Detection of Epilepsy and Seizure Using Multiclass Sparse Extreme Learning Machine Classification,” Computational and Mathematical Methods in Medicine, vol. 2017, pp. 1–10, 2017. View at Publisher · View at Google Scholar
  • Lu Bing, and Wei Wang, “Sparse Representation Based Multi-Instance Learning for Breast Ultrasound Image Classification,” Computational and Mathematical Methods in Medicine, vol. 2017, pp. 1–10, 2017. View at Publisher · View at Google Scholar
  • Xiaohua Nie, Wei Wang, and Haoyao Nie, “Chaos Quantum-Behaved Cat Swarm Optimization Algorithm and Its Application in the PV MPPT,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–11, 2017. View at Publisher · View at Google Scholar
  • Xiaoqian Mao, Mengfan Li, Wei Li, Linwei Niu, Bin Xian, Ming Zeng, and Genshe Chen, “Progress in EEG-Based Brain Robot Interaction Systems,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–25, 2017. View at Publisher · View at Google Scholar
  • Hongyao Deng, Qingxin Zhu, Xiuli Song, and Jinsong Tao, “A Decision-Based Modified Total Variation Diffusion Method for Impulse Noise Removal,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–20, 2017. View at Publisher · View at Google Scholar
  • Keiko Sakurai, Mingmin Yan, Koichi Tanno, and Hiroki Tamura, “Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–10, 2017. View at Publisher · View at Google Scholar
  • Zhenjie Wang, Lijia Wang, and Hua Zhang, “Patch Based Multiple Instance Learning Algorithm for Object Tracking,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–7, 2017. View at Publisher · View at Google Scholar
  • Rensong Liu, Zhiwen Zhang, Feng Duan, Xin Zhou, and Zixuan Meng, “Identification of Anisomerous Motor Imagery EEG Signals Based on Complex Algorithms,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–12, 2017. View at Publisher · View at Google Scholar
  • Guan Wang, Yu Sun, and Jianxin Wang, “Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–8, 2017. View at Publisher · View at Google Scholar
  • Adnan O. M. Abuassba, Dezheng Zhang, Xiong Luo, Ahmad Shaheryar, and Hazrat Ali, “Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–11, 2017. View at Publisher · View at Google Scholar
  • Hubert Banville, Rishabh Gupta, and Tiago H. Falk, “Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–24, 2017. View at Publisher · View at Google Scholar
  • Hongfang Zhou, Yihui Zhang, and Yibin Liu, “ A Global-Relationship Dissimilarity Measure for the k -Modes Clustering Algorithm ,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–7, 2017. View at Publisher · View at Google Scholar
  • Ming-Yuan Cho, and Thi Thom Hoang, “Feature Selection and Parameters Optimization of SVM Using Particle Swarm Optimization for Fault Classification in Power Distribution Systems,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–9, 2017. View at Publisher · View at Google Scholar
  • Xiaoqian Mao, Wei Li, Huidong He, Bin Xian, Ming Zeng, Huihui Zhou, Linwei Niu, and Genshe Chen, “Object Extraction in Cluttered Environments via a P300-Based IFCE,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–12, 2017. View at Publisher · View at Google Scholar
  • Ting Li, Jinhua Zhang, Tao Xue, and Baozeng Wang, “Development of a Novel Motor Imagery Control Technique and Application in a Gaming Environment,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–16, 2017. View at Publisher · View at Google Scholar
  • Xuncai Zhang, Feng Han, and Ying Niu, “Chaotic Image Encryption Algorithm Based on Bit Permutation and Dynamic DNA Encoding,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–11, 2017. View at Publisher · View at Google Scholar
  • Mads Jochumsen, Cecilie Rovsing, Helene Rovsing, Imran Khan Niazi, Kim Dremstrup, and Ernest Nlandu Kamavuako, “Classification of Hand Grasp Kinetics and Types Using Movement-Related Cortical Potentials and EEG Rhythms,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–8, 2017. View at Publisher · View at Google Scholar
  • Yuntian Feng, Hongjun Zhang, Wenning Hao, and Gang Chen, “Joint Extraction of Entities and Relations Using Reinforcement Learning and Deep Learning,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–11, 2017. View at Publisher · View at Google Scholar
  • Ju-Chi Liu, Hung-Chyun Chou, Chien-Hsiu Chen, Yi-Tseng Lin, and Chung-Hsien Kuo, “Corrigendum to “Time-Shift Correlation Algorithm for P300 Event Related Potential Brain-Computer Interface Implementation”,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–1, 2017. View at Publisher · View at Google Scholar
  • Justin Lines, Kelsey Nation, and Jean-Marc Fellous, “Dorsoventral and Proximodistal Hippocampal Processing Account for the Influences of Sleep and Context on Memory (Re)consolidation: A Connectionist Model,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–16, 2017. View at Publisher · View at Google Scholar
  • Jianjun Ni, Liuying Wu, Pengfei Shi, and Simon X. Yang, “A Dynamic Bioinspired Neural Network Based Real-Time Path Planning Method for Autonomous Underwater Vehicles,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–16, 2017. View at Publisher · View at Google Scholar
  • Chien-Feng Huang, and Hsu-Chih Li, “An Evolutionary Method for Financial Forecasting in Microscopic High-Speed Trading Environment,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–18, 2017. View at Publisher · View at Google Scholar
  • Yan-pu Yang, “A Method for Consensus Reaching in Product Kansei Evaluation Using Advanced Particle Swarm Optimization,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–8, 2017. View at Publisher · View at Google Scholar
  • M. Goldhacker, P. Keck, A. Igel, E.W. Lang, and A.M. Tomé, “A multi-variate Blind Source Separation Algorithm,” Computer Methods and Programs in Biomedicine, 2017. View at Publisher · View at Google Scholar
  • Bailu Yan, Zheng Zhao, Yingcheng Zhou, Wenyan Yuan, Jian Li, Jun Wu, and Daojian Cheng, “A particle swarm optimization algorithm with random learning mechanism and Levy flight for optimization of atomic clusters,” Computer Physics Communications, 2017. View at Publisher · View at Google Scholar
  • Fei Han, Brian Reily, William Hoff, and Hao Zhang, “Space-Time Representation of People Based on 3D Skeletal Data: A Review,” Computer Vision and Image Understanding, 2017. View at Publisher · View at Google Scholar
  • Katarzyna Harezlak, and Pawel Kasprowski, “Application of eye tracking in medicine: A survey, research issues and challenges,” Computerized Medical Imaging and Graphics, 2017. View at Publisher · View at Google Scholar
  • Alexander Johannes, Artzai Picon, Aitor Alvarez-Gila, Jone Echazarra, Sergio Rodriguez-Vaamonde, Ana Díez Navajas, and Amaia Ortiz-Barredo, “Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case,” Computers and Electronics in Agriculture, vol. 138, pp. 200–209, 2017. View at Publisher · View at Google Scholar
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  • Luca Ronconi, and Rosilari Bellacosa Marotti, “Awareness in the crowd: Beta power and alpha phase of prestimulus oscillations predict object discrimination in visual crowding,” Consciousness and Cognition, 2017. View at Publisher · View at Google Scholar
  • Edgar Altszyler, Sidarta Ribeiro, Mariano Sigman, and Diego Fernández Slezak, “The interpretation of dream meaning: Resolving ambiguity using Latent Semantic Analysis in a small corpus of text,” Consciousness and Cognition, 2017. View at Publisher · View at Google Scholar
  • Jonathan Strunk, Taylor James, Jason Arndt, and Audrey Duarte, “Age-related changes in neural oscillations supporting context memory retrieval,” Cortex, 2017. View at Publisher · View at Google Scholar
  • Eddy Cavalli, Pascale Colé, Chotiga Pattamadilok, Jean-Michel Badier, Christelle Zielinski, Valérie Chanoine, and Johannes C. Ziegler, “Spatiotemporal reorganization of the reading network in adult dyslexia,” Cortex, 2017. View at Publisher · View at Google Scholar
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  • Amanda R. Tarullo, Jelena Obradović, Brandon Keehn, Muneera A. Rasheed, Saima Siyal, Charles A. Nelson, and Aisha K. Yousafzai, “Gamma Power in Rural Pakistani Children: Links to Executive Function and Verbal Ability,” Developmental Cognitive Neuroscience, 2017. View at Publisher · View at Google Scholar
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