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Citations to this Journal [5,524 citations: 1–100 of 4,804 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 5,524 times. The following is a list of the 4,804 articles that have cited the articles published in Computational Intelligence and Neuroscience.

  • Annelies Aerts, Gregor Strobbe, Pieter van Mierlo, Robert J. Hartsuiker, Paul Corthals, Patrick Santens, and Miet De Letter, “Spatiotemporal differentiation in auditory and motor regions during auditory phoneme discrimination,” Acta Neurologica Belgica, 2017. View at Publisher · View at Google Scholar
  • Jinxing Lai, Junling Qiu, Haobo Fan, Jianxun Chen, Zhinan Hu, Qian Zhang, and Junbao Wang, “Structural Safety Assessment of Existing Multiarch Tunnel: A Case Study,” Advances in Materials Science and Engineering, vol. 2017, pp. 1–11, 2017. View at Publisher · View at Google Scholar
  • Lauren Sinnenberg, Alison M. Buttenheim, Kevin Padrez, Christina Mancheno, Lyle Ungar, and Raina M. Merchant, “Twitter as a tool for health research: A systematic review,” American Journal of Public Health, vol. 107, no. 1, pp. e1–e8, 2017. View at Publisher · View at Google Scholar
  • Phillip E. Vlisides, Tarik Bel-Bahar, UnCheol Lee, Duan Li, Hyoungkyu Kim, Ellen Janke, Vijay Tarnal, Adrian B. Pichurko, Amy M. McKinney, Bryan S. Kunkler, Paul Picton, and George A. Mashour, “Neurophysiologic Correlates of Ketamine Sedation and Anesthesia,” Anesthesiology, vol. 127, no. 1, pp. 58–69, 2017. View at Publisher · View at Google Scholar
  • Pauline Pellet Cheneval, Caroline Bonnans, and Marina Laganaro, “Does facilitation by phonological cuing in picture naming depend on the modality of the cue?,” Aphasiology, pp. 1–29, 2017. View at Publisher · View at Google Scholar
  • Engin Pekel, and Selin Soner Kara, “Passenger Flow Prediction Based on Newly Adopted Algorithms,” Applied Artificial Intelligence, vol. 31, no. 1, pp. 64–79, 2017. View at Publisher · View at Google Scholar
  • Ali Wagdy Mohamed, and Abdulaziz S. Almazyad, “Differential Evolution with Novel Mutation and Adaptive Crossover Strategies for Solving Large Scale Global Optimization Problems,” Applied Computational Intelligence and Soft Computing, vol. 2017, pp. 1–18, 2017. View at Publisher · View at Google Scholar
  • Seung-Jae Kim, Marie Aimee Kayitesi, Amy Chan, and Kimberli Graham, “Effects of Partial Absence of Visual Feedback Information on Gait Symmetry,” Applied Psychophysiology and Biofeedback, 2017. View at Publisher · View at Google Scholar
  • Xun Jin, and Jongweon Kim, “Artwork Identification for 360-Degree Panoramic Images Using Polyhedron-Based Rectilinear Projection and Keypoint Shapes,” Applied Sciences, vol. 7, no. 6, pp. 528, 2017. View at Publisher · View at Google Scholar
  • Yaxu Xue, Zhaojie Ju, Kui Xiang, Jing Chen, and Honghai Liu, “Multiple Sensors Based Hand Motion Recognition Using Adaptive Directed Acyclic Graph,” Applied Sciences, vol. 7, no. 4, pp. 358, 2017. View at Publisher · View at Google Scholar
  • Abhijit Bhattacharyya, Ram Pachori, Abhay Upadhyay, and U. Acharya, “Tunable-Q Wavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals,” Applied Sciences, vol. 7, no. 4, pp. 385, 2017. View at Publisher · View at Google Scholar
  • Leonardo Trujillo, Salvador de Lara, Mauro Castelli, Emigdio Z-Flores, Aleš Popovič, Josué Enríquez-Zárate, and Luis Muñoz, “Automatic modeling of a gas turbine using genetic programming: An experimental study,” Applied Soft Computing Journal, vol. 50, pp. 212–222, 2017. View at Publisher · View at Google Scholar
  • Noriyasu Ando, and Ryohei Kanzaki, “Using insects to drive mobile robots — hybrid robots bridge the gap between biological and artificial systems,” Arthropod Structure & Development, 2017. View at Publisher · View at Google Scholar
  • Fei-yan Zhou, Lin-peng Jin, and Jun Dong, “Premature Ventricular Contraction Detection Combining Deep Neural Networks and Rules Inference,” Artificial Intelligence in Medicine, 2017. View at Publisher · View at Google Scholar
  • Palani Thanaraj, and B. Parvathavarthini, “Multichannel interictal spike activity detection using time–frequency entropy measure,” Australasian Physical & Engineering Sciences in Medicine, 2017. View at Publisher · View at Google Scholar
  • Fenny S. Zwart, Constance W.Th.M Vissers, Roemer van der Meij, Roy P.C. Kessels, and Joseph H.R. Maes, “Autism: Too eager to learn? Event related potential findings of increased dependency on intentional learning in a serial reaction time task,” Autism Research, 2017. View at Publisher · View at Google Scholar
  • Antoine Coutrot, Janet H. Hsiao, and Antoni B. Chan, “Scanpath modeling and classification with hidden Markov models,” Behavior Research Methods, 2017. View at Publisher · View at Google Scholar
  • Marjolein van der Waal, Jason Farquhar, Luciano Fasotti, and Peter Desain, “Preserved and attenuated electrophysiological correlates of visual spatial attention in elderly subjects,” Behavioural Brain Research, vol. 317, pp. 415–423, 2017. View at Publisher · View at Google Scholar
  • Junichi Hori, and Naoto Okada, “Classification of tactile event-related potential elicited by Braille display for brain–computer interface,” Biocybernetics and Biomedical Engineering, 2017. View at Publisher · View at Google Scholar
  • Michal Kruk, Jaroslaw Kurek, Stanislaw Osowski, Robert Koktysz, Bartosz Swiderski, and Tomasz Markiewicz, “Ensemble of classifiers and wavelet transformation for improved recognition of Fuhrman grading in clear-cell renal carcinoma,” Biocybernetics and Biomedical Engineering, 2017. View at Publisher · View at Google Scholar
  • Rahul Kumar Chaurasiya, Narendra D. Londhe, and Subhojit Ghosh, “Multi-objective binary DE algorithm for optimizing the performance of Devanagari script-based P300 speller,” Biocybernetics and Biomedical Engineering, 2017. View at Publisher · View at Google Scholar
  • Rafael A. Rosales, Rodrigo D. Drummond, Renan Valieris, Emmanuel Dias-Neto, and Israel T. Da Silva, “signeR: An empirical Bayesian approach to mutational signature discovery,” Bioinformatics, vol. 33, no. 1, pp. 8–16, 2017. View at Publisher · View at Google Scholar
  • Paweł Kordowski, Artur Matysiak, Reinhard König, and Cezary Sielużycki, “Simultaneous spatio-temporal matching pursuit decomposition of evoked brain responses in MEG,” Biological Cybernetics, 2017. View at Publisher · View at Google Scholar
  • Peter J. Uhlhaas, Peter Liddle, David Linden, Anna C. Nobre, Krish D. Singh, and Joachim Gross, “Magnetoencephalography as a Tool in Psychiatric Research: Current Status and Perspective,” Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2017. View at Publisher · View at Google Scholar
  • Stella Banis, and Monicque M. Lorist, “The combined effects of menstrual cycle phase and acute stress on reward-related processing,” Biological Psychology, vol. 125, pp. 130–145, 2017. View at Publisher · View at Google Scholar
  • Qiang Gao, Lixiang Dou, Abdelkader Nasreddine Belkacem, and Chao Chen, “Noninvasive Electroencephalogram Based Control of a Robotic Arm for Writing Task Using Hybrid BCI System,” BioMed Research International, vol. 2017, pp. 1–8, 2017. View at Publisher · View at Google Scholar
  • Boris I. Gramatikov, “Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning,” BioMedical Engineering OnLine, vol. 16, no. 1, 2017. View at Publisher · View at Google Scholar
  • Hamideh Namdari, Ehsan Tahami, and Fatimah Hadian Far, “A Comparison Between The Non-Parametric And Fuzzy Logic-Based Classifications In Recognition Of Human Daily Activities,” Biomedical Engineering: Applications, Basis and Communications, vol. 29, no. 01, pp. 1750003, 2017. View at Publisher · View at Google Scholar
  • Rosanne Zerafa, Tracey Camilleri, Kimberlin Bartolo, Kenneth P Camilleri, and Owen Falzon, “Reducing the training time for the SSVEP-based music player application,” Biomedical Physics & Engineering Express, vol. 3, no. 3, pp. 034001, 2017. View at Publisher · View at Google Scholar
  • Varun Bajaj, Khushnandan Rai, Anil Kumar, and Dheeraj Sharma, “Time-frequency image based features for classification of epileptic seizures from EEG signals,” Biomedical Physics & Engineering Express, vol. 3, no. 1, pp. 015012, 2017. View at Publisher · View at Google Scholar
  • Mingyang Li, Wanzhong Chen, and Tao Zhang, “Classification of epilepsy EEG signals using DWT-based envelope analysis and neural network ensemble,” Biomedical Signal Processing and Control, vol. 31, pp. 357–365, 2017. View at Publisher · View at Google Scholar
  • Alireza Ghaemi, Esmat Rashedi, Ali Mohammad Pourrahimi, Mehdi Kamandar, and Farhad Rahdari, “Automatic channel selection in EEG signals for classification of left or right hand movement in Brain Computer Interfaces using improved binary gravitation search algorithm,” Biomedical Signal Processing and Control, vol. 33, pp. 109–118, 2017. View at Publisher · View at Google Scholar
  • Shivnarayan Patidar, and Trilochan Panigrahi, “Detection of epileptic seizure using Kraskov entropy applied on tunable-Q wavelet transform of EEG signals,” Biomedical Signal Processing and Control, vol. 34, pp. 74–80, 2017. View at Publisher · View at Google Scholar
  • Abeg Kumar Jaiswal, and Haider Banka, “Local pattern transformation based feature extraction techniques for classification of epileptic EEG signals,” Biomedical Signal Processing and Control, vol. 34, pp. 81–92, 2017. View at Publisher · View at Google Scholar
  • Rimita Lahiri, Pratyusha Rakshit, and Amit Konar, “Evolutionary perspective for optimal selection of EEG electrodes and features,” Biomedical Signal Processing and Control, vol. 36, pp. 113–137, 2017. View at Publisher · View at Google Scholar
  • Hashem Kalbkhani, and Mahrokh G. Shayesteh, “Stockwell transform for epileptic seizure detection from EEG signals,” Biomedical Signal Processing and Control, vol. 38, pp. 108–118, 2017. View at Publisher · View at Google Scholar
  • Sylvester O. Orimaye, Jojo S-M. Wong, Karen J. Golden, Chee P. Wong, and Ireneous N. Soyiri, “Predicting probable Alzheimer’s disease using linguistic deficits and biomarkers,” BMC Bioinformatics, vol. 18, no. 1, 2017. View at Publisher · View at Google Scholar
  • Raquel Dias, and Bryan Kolaczkowski, “Improving the accuracy of high-throughput protein-protein affinity prediction may require better training data,” BMC Bioinformatics, vol. 18, no. S5, 2017. View at Publisher · View at Google Scholar
  • Carlos Bandeira de Mello Monteiro, Talita Dias da Silva, Luiz Carlos de Abreu, Felipe Fregni, Luciano Vieira de Araujo, Fernando Henrique Inocêncio Borba Ferreira, and Claudio Leone, “Short-term motor learning through non-immersive virtual reality task in individuals with down syndrome,” BMC Neurology, vol. 17, no. 1, 2017. View at Publisher · View at Google Scholar
  • Paula M. Di Nota, Julie M. Chartrand, Gabriella R. Levkov, Rodrigo Montefusco-Siegmund, and Joseph F. X. DeSouza, “Experience-dependent modulation of alpha and beta during action observation and motor imagery,” BMC Neuroscience, vol. 18, no. 1, 2017. View at Publisher · View at Google Scholar
  • Peter J. Uhlhaas, Ruchika Gajwani, Joachim Gross, Andrew I. Gumley, Stephen M. Lawrie, and Matthias Schwannauer, “The Youth Mental Health Risk and Resilience Study (YouR-Study),” BMC Psychiatry, vol. 17, no. 1, 2017. View at Publisher · View at Google Scholar
  • Ruiping Wang, Yonggen Jiang, Engelgau Michael, and Genming Zhao, “How to select a proper early warning threshold to detect infectious disease outbreaks based on the China infectious disease automated alert and response system (CIDARS),” BMC Public Health, vol. 17, no. 1, 2017. View at Publisher · View at Google Scholar
  • Michiel F. Dirkx, Hanneke E. M. den Ouden, Esther Aarts, Monique H. M. Timmer, Bastiaan R. Bloem, Ivan Toni, and Rick C. Helmich, “Dopamine controls Parkinson’s tremor by inhibiting the cerebellar thalamus,” Brain, pp. aww331, 2017. View at Publisher · View at Google Scholar
  • Maria J. Ortiz, M.D. Grima Murcia, and E. Fernandez, “Brain processing of visual metaphors: An electrophysiological study,” Brain and Cognition, vol. 113, pp. 117–124, 2017. View at Publisher · View at Google Scholar
  • Felicitas Ehlen, Isabelle Vonberg, Hannes O. Tiedt, Andreas Horn, Ortwin Fromm, Andrea A. Kühn, and Fabian Klostermann, “Thalamic deep brain stimulation decelerates automatic lexical activation,” Brain and Cognition, vol. 111, pp. 34–43, 2017. View at Publisher · View at Google Scholar
  • Madeline Huberth, and Takako Fujioka, “Neural representation of a melodic motif: Effects of polyphonic contexts,” Brain and Cognition, vol. 111, pp. 144–155, 2017. View at Publisher · View at Google Scholar
  • Andrea R. Halpern, Ioanna Zioga, Martin Shankleman, Job Lindsen, Marcus T. Pearce, and Joydeep Bhattacharya, “That note sounds wrong! Age-related effects in processing of musical expectation,” Brain and Cognition, vol. 113, pp. 1–9, 2017. View at Publisher · View at Google Scholar
  • Julie Péron, Olivier Renaud, Claire Haegelen, Lucas Tamarit, Valérie Milesi, Jean-François Houvenaghel, Thibaut Dondaine, Marc Vérin, Paul Sauleau, and Didier Grandjean, “Vocal emotion decoding in the subthalamic nucleus: An intracranial ERP study in Parkinson’s disease,” Brain and Language, vol. 168, pp. 1–11, 2017. View at Publisher · View at Google Scholar
  • Maxime Curzietti, Anne Bonnefond, Bérengère Staub, Pierre Vidailhet, and Nadège Doignon-Camus, “The effects of age on visual expertise for print,” Brain and Language, vol. 169, pp. 48–56, 2017. View at Publisher · View at Google Scholar
  • Vitalie Chiosa, Stanislav A. Groppa, Dumitru Ciolac, Nabin Koirala, Liudmila Mişina, Yaroslav Winter, Maria Moldovanu, Muthuraman Muthuraman, and Sergiu Groppa, “Breakdown of Thalamo-Cortical Connectivity Precedes Spike Generation in Focal Epilepsies,” Brain Connectivity, vol. 7, no. 5, pp. 309–320, 2017. View at Publisher · View at Google Scholar
  • Nantia D. Iakovidou, “Graph Theory at the Service of Electroencephalograms,” Brain Connectivity, 2017. View at Publisher · View at Google Scholar
  • Neil W. Bailey, Nigel C. Rogasch, Kate E. Hoy, Jerome J. Maller, Rebecca A. Segrave, Caley M. Sullivan, and Paul B. Fitzgerald, “Increased gamma connectivity during working memory retention following traumatic brain injury,” Brain Injury, pp. 1–11, 2017. View at Publisher · View at Google Scholar
  • Kevin T. Jones, Dwight J. Peterson, Kara J. Blacker, and Marian E. Berryhill, “Frontoparietal neurostimulation modulates working memory training benefits and oscillatory synchronization,” Brain Research, 2017. View at Publisher · View at Google Scholar
  • Piotr Stawicki, Felix Gembler, Aya Rezeika, and Ivan Volosyak, “A Novel Hybrid Mental Spelling Application Based on Eye Tracking and SSVEP-Based BCI,” Brain Sciences, vol. 7, no. 4, pp. 35, 2017. View at Publisher · View at Google Scholar
  • Aina Puce, and Matti Hämäläinen, “A Review of Issues Related to Data Acquisition and Analysis in EEG/MEG Studies,” Brain Sciences, vol. 7, no. 6, pp. 58, 2017. View at Publisher · View at Google Scholar
  • T.A. de Graaf, F. Duecker, Y. Stankevich, S. ten Oever, and A.T. Sack, “Seeing in the dark: Phosphene thresholds with eyes open versus closed in the absence of visual inputs,” Brain Stimulation, 2017. View at Publisher · View at Google Scholar
  • Emiliano Santarnecchi, Arjun R. Khanna, Christian S. Musaeus, Christopher S. Y. Benwell, Paula Davila, Faranak Farzan, Santosh Matham, Alvaro Pascual-Leone, and Mouhsin M. Shafi, “EEG Microstate Correlates of Fluid Intelligence and Response to Cognitive Training,” Brain Topography, 2017. View at Publisher · View at Google Scholar
  • Liisa Raud, and René J. Huster, “The Temporal Dynamics of Response Inhibition and their Modulation by Cognitive Control,” Brain Topography, 2017. View at Publisher · View at Google Scholar
  • Filippo Zappasodi, Pierpaolo Croce, Alessandro Giordani, Giovanni Assenza, Nadia M. Giannantoni, Paolo Profice, Giuseppe Granata, Paolo M. Rossini, and Franca Tecchio, “Prognostic Value of EEG Microstates in Acute Stroke,” Brain Topography, 2017. View at Publisher · View at Google Scholar
  • R. van Dinteren, R. J. Huster, M. L. A. Jongsma, R. P. C. Kessels, and M. Arns, “Differences in Cortical Sources of the Event-Related P3 Potential Between Young and Old Participants Indicate Frontal Compensation,” Brain Topography, 2017. View at Publisher · View at Google Scholar
  • Jessica C. Bühler, Franziska Waßmann, Daniela Buser, Flutra Zumberi, and Urs Maurer, “Neural Processes Associated with Vocabulary and Vowel-Length Differences in a Dialect: An ERP Study in Pre-literate Children,” Brain Topography, 2017. View at Publisher · View at Google Scholar
  • Jérôme N. Spring, Miralena I. Tomescu, and Jérôme Barral, “A single-bout of Endurance Exercise Modulates EEG Microstates Temporal Features,” Brain Topography, 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
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  • 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
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  • 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
  • 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
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  • 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
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  • 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
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  • 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
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