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Citations to this Journal [4,926 citations: 1–100 of 4,276 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 4,926 times. The following is a list of the 4,276 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
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  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Nathalie L. Maitre, Alexandra P. Key, Olena D. Chorna, James C. Slaughter, Pawel J. Matusz, Mark T. Wallace, and Micah M. Murray, “The Dual Nature of Early-Life Experience on Somatosensory Processing in the Human Infant Brain,” Current Biology, 2017. View at Publisher · View at Google Scholar
  • Stefan Wiens, Malina Szychowska, Rasmus Eklund, and Mats E. Nilsson, “Data on the auditory duration mismatch negativity for different sound pressure levels and visual perceptual loads,” Data in Brief, 2017. View at Publisher · View at Google Scholar
  • Sendy Caffarra, Clara D. Martin, Mikel Lizarazu, Marie Lallier, Asier Zarraga, Nicola Molinaro, and Manuel Carreiras, “Word and object recognition during reading acquisition: MEG evidence,” Developmental Cognitive Neuroscience, 2017. View at Publisher · View at Google Scholar
  • 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
  • H.M. Endedijk, M. Meyer, H. Bekkering, A.H.N. Cillessen, and S. Hunnius, “Neural Mirroring and Social Interaction: Motor System Involvement During Action Observation Relates to Early Peer Cooperation,” Developmental Cognitive Neuroscience, 2017. View at Publisher · View at Google Scholar
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  • Yin Tian, Li Yang, Wei Xu, Huiling Zhang, Zhongyan Wang, Haiyong Zhang, Shuxing Zheng, Yupan Shi, and Peng Xu, “Predictors for drug effects with brain disease: Shed new light from EEG parameters to brain connectomics,” European Journal of Pharmaceutical Sciences, 2017. View at Publisher · View at Google Scholar
  • Carmen Carpio, María Amérigo, and Manuel Durán, “Study of an inclusive intervention programme in pictorial perception with blind and sighted students,” European Journal of Special Needs Education, pp. 1–18, 2017. View at Publisher · View at Google Scholar
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  • A.-M. Brouwer, M.A. Hogervorst, M. Grootjen, J.B.F. van Erp, and E.H. Zandstra, “Neurophysiological responses during cooking food associated with different emotions,” Food Quality and Preference, 2017. View at Publisher · View at Google Scholar
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  • Vrajeshri Patel, Jamie Craig, Michelle Schumacher, Martin K. Burns, Ionut Florescu, and Ramana Vinjamuri, “Synergy Repetition Training versus Task Repetition Training in Acquiring New Skill,” Frontiers in Bioengineering and Biotechnology, vol. 5, 2017. View at Publisher · View at Google Scholar
  • Max Garagnani, Guglielmo Lucchese, Rosario Tomasello, Thomas Wennekers, and Friedemann Pulvermüller, “A Spiking Neurocomputational Model of High-Frequency Oscillatory Brain Responses to Words and Pseudowords,” Frontiers in Computational Neuroscience, vol. 10, 2017. View at Publisher · View at Google Scholar
  • Alexander Reyes, Christopher M. Laine, Jason J. Kutch, and Francisco J. Valero-Cuevas, “Beta Band Corticomuscular Drive Reflects Muscle Coordination Strategies,” Frontiers in Computational Neuroscience, vol. 11, 2017. View at Publisher · View at Google Scholar
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  • Elina Pihko, Piia Lönnberg, Leena Lauronen, Elina Wolford, Sture Andersson, Aulikki Lano, Marjo Metsäranta, and Päivi Nevalainen, “Lack of Cortical Correlates of Response Inhibition in 6-Year-Olds Born Extremely Preterm – Evidence from a Go/NoGo Task in Magnetoencephalographic Recordings,” Frontiers in Human Neuroscience, vol. 10, 2017. View at Publisher · View at Google Scholar
  • Guglielmo Lucchese, Friedemann Pulvermüller, Benjamin Stahl, Felix R. Dreyer, and Bettina Mohr, “Therapy-Induced Neuroplasticity of Language in Chronic Post Stroke Aphasia: A Mismatch Negativity Study of (A)Grammatical and Meaningful/less Mini-Constructions,” Frontiers in Human Neuroscience, vol. 10, 2017. View at Publisher · View at Google Scholar
  • Klara Kovarski, Marianne Latinus, Judith Charpentier, Helen Cléry, Sylvie Roux, Emmanuelle Houy-Durand, Agathe Saby, Frédérique Bonnet-Brilhault, Magali Batty, and Marie Gomot, “Facial Expression Related vMMN: Disentangling Emotional from Neutral Change Detection,” Frontiers in Human Neuroscience, vol. 11, 2017. View at Publisher · View at Google Scholar
  • Pragati R. Mandikal Vasuki, Mridula Sharma, Ronny K. Ibrahim, and Joanne Arciuli, “Musicians’ Online Performance during Auditory and Visual Statistical Learning Tasks,” Frontiers in Human Neuroscience, vol. 11, 2017. View at Publisher · View at Google Scholar
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  • Maciej Gratkowski, Lena Storzer, Markus Butz, Alfons Schnitzler, Dietmar Saupe, and Sarang S. Dalal, “BrainCycles: Experimental Setup for the Combined Measurement of Cortical and Subcortical Activity in Parkinson's Disease Patients during Cycling,” Frontiers in Human Neuroscience, vol. 10, 2017. View at Publisher · View at Google Scholar
  • Florian H. Kasten, and Christoph S. Herrmann, “Transcranial Alternating Current Stimulation (tACS) Enhances Mental Rotation Performance during and after Stimulation,” Frontiers in Human Neuroscience, vol. 11, 2017. View at Publisher · View at Google Scholar
  • Jan Herding, Simon Ludwig, and Felix Blankenburg, “Response-Modality-Specific Encoding of Human Choices in Upper Beta Band Oscillations during Vibrotactile Comparisons,” Frontiers in Human Neuroscience, vol. 11, 2017. View at Publisher · View at Google Scholar
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