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Citations to this Journal [2,587 citations: 1–100 of 2,266 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 2,587 times. The following is a list of the 2,266 articles that have cited the articles published in Computational Intelligence and Neuroscience.

  • Jérémie Mattout, Margaux Perrin, Olivier Bertrand, and Emmanuel Maby, “Improving BCI performance through co-adaptation: Applications to the P300-speller,” Annals of Physical and Rehabilitation Medicine, 2015. View at Publisher · View at Google Scholar
  • Muhammad Asif Zahoor Raja, Junaid Ali Khan, A.M. Siddiqui, D. Behloul, T. Haroon, and Raza Samar, “Exactly satisfying initial conditions neural network models for numerical treatment of first Painlevé equation,” Applied Soft Computing, vol. 26, pp. 244–256, 2015. View at Publisher · View at Google Scholar
  • Jing Chen, Bin Hu, Philip Moore, Xiaowei Zhang, and Xu Ma, “Electroencephalogram-Based Emotion Assessment System Using Ontology and Data Mining Techniques,” Applied Soft Computing, 2015. View at Publisher · View at Google Scholar
  • Li Chen, Xiaotong Huang, and Jing Tian, “Retinal image registration using topological vascular tree segmentation and bifurcation structures,” Biomedical Signal Processing and Control, vol. 16, pp. 22–31, 2015. View at Publisher · View at Google Scholar
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  • Motohiro Kimura, and Yuji Takeda, “Automatic prediction regarding the next state of a visual object: Electrophysiological indicators of prediction match and mismatch,” Brain Research, 2015. View at Publisher · View at Google Scholar
  • Ling-Chia Chen, Pascale Sandmann, Jeremy D. Thorne, Christoph S. Herrmann, and Stefan Debener, “Association of Concurrent fNIRS and EEG Signatures in Response to Auditory and Visual Stimuli,” Brain Topography, 2015. View at Publisher · View at Google Scholar
  • Johanna M. Rimmele, Elana Zion Golumbic, Erich Schröger, and David Poeppel, “The effects of selective attention and speech acoustics on neural speech-tracking in a multi-talker scene,” Cortex, 2015. View at Publisher · View at Google Scholar
  • Supratim Ray, “Challenges in the quantification and interpretation of spike-LFP relationships,” Current Opinion in Neurobiology, vol. 31, pp. 111–118, 2015. View at Publisher · View at Google Scholar
  • Ceon Ramon, and Mark D Holmes, “Spatiotemporal phase clusters and phase synchronization patterns derived from high density EEG and ECoG recordings,” Current Opinion in Neurobiology, vol. 31, pp. 127–132, 2015. View at Publisher · View at Google Scholar
  • Boualem Boashash, Nabeel Ali Khan, and Taoufik Ben-Jabeur, “Time-frequency features for pattern recognition using high-resolution TFDs: a tutorial review,” Digital Signal Processing, 2015. View at Publisher · View at Google Scholar
  • Fosco Bernasconi, Michael Kometer, Thomas Pokorny, Erich Seifritz, and Franz X. Vollenweider, “The electrophysiological effects of the serotonin 1A receptor agonist buspirone in emotional face processing,” European Neuropsychopharmacology, 2015. View at Publisher · View at Google Scholar
  • Tianwei Shi, Hong Wang, and Chi Zhang, “Brain Computer Interface System based on Indoor Semi-autonomous Navigation and Motor Imagery for Unmanned Aerial Vehicle Control,” Expert Systems with Applications, 2015. View at Publisher · View at Google Scholar
  • Balázs Knakker, Béla Weiss, and Zoltán Vidnyánszky, “Object-based attentional selection modulates anticipatory alpha oscillations,” Frontiers in Human Neuroscience, vol. 8, 2015. View at Publisher · View at Google Scholar
  • Vitória Piai, Stéphanie K. Riès, and Robert T. Knight, “The electrophysiology of language production: what could be improved,” Frontiers in Psychology, vol. 5, 2015. View at Publisher · View at Google Scholar
  • Matt Higger, Murat Akcakaya, Hooman Nezamfar, Gerald LaMountain, Umut Orhan, and Deniz Erdogmus, “A Bayesian Framework for Intent Detection and Stimulation Selection in SSVEP BCIs,” Ieee Signal Processing Letters, vol. 22, no. 6, pp. 743–747, 2015. View at Publisher · View at Google Scholar
  • N. Del Buono, and G. Pio, “Non-negative matrix tri-factorization for co-clustering: An analysis of the block matrix,” Information Sciences, 2015. View at Publisher · View at Google Scholar
  • Yueqing Li, Woo Ram Jeon, and Chang S. Nam, “Navigation by vibration: Effects of vibrotactile feedback on a navigation task,” International Journal of Industrial Ergonomics, 2015. View at Publisher · View at Google Scholar
  • Majdi Mafarja, and Salwani Abdullah, “A fuzzy record-to-record travel algorithm for solving rough set attribute reduction,” International Journal of Systems Science, vol. 46, no. 3, pp. 503–512, 2015. View at Publisher · View at Google Scholar
  • Pablo Cuesta, Ana Barabash, Sara Aurtenetxe, Pilar Garces, Maria Eugenia Lopez, Ricardo Bajo, Marcos Llanero-Luque, Ines Ancin, Jose Antonio Cabranes, Alberto Marcos, Miguel Sancho, Akinori Nakamura, Fernando Maestu, and Alberto Fernandez, “Source Analysis of Spontaneous Magnetoencephalograpic Activity in Healthy Aging and Mild Cognitive Impairment: Influence of Apolipoprotein E Polymorphism,” Journal of Alzheimers Disease, vol. 43, no. 1, pp. 259–273, 2015. View at Publisher · View at Google Scholar
  • Aurélie Bouzerda-Wahlen, Louis Nahum, Maria Chiara Liverani, Adrian G. Guggisberg, and Armin Schnider, “An Electrophysiological Dissociation between Orbitofrontal Reality Filtering and Context Source Monitoring,” Journal of Cognitive Neuroscience, vol. 27, no. 1, pp. 164–174, 2015. View at Publisher · View at Google Scholar
  • Zaifeng Gao, Shlomo Bentin, and Mowei Shen, “Rehearsing Biological Motion in Working Memory: An EEG Study,” Journal of Cognitive Neuroscience, vol. 27, no. 1, pp. 198–209, 2015. View at Publisher · View at Google Scholar
  • Xing Tian, and David Poeppel, “Dynamics of Self-monitoring and Error Detection in Speech Production: Evidence from Mental Imagery and MEG,” Journal of Cognitive Neuroscience, vol. 27, no. 2, pp. 352–364, 2015. View at Publisher · View at Google Scholar
  • B. Colombet, M. Woodman, C.G. Bénar, and J.M. Badier, “AnyWave: a cross-platform and modular software for visualizing and processing electrophysiological signals,” Journal of Neuroscience Methods, 2015. View at Publisher · View at Google Scholar
  • Jian Chai, Jiangze Du, Kin Keung Lai, and Yan Pui Lee, “A Hybrid Least Square Support Vector Machine Model with Parameters Optimization for Stock Forecasting,” Mathematical Problems in Engineering, vol. 2015, pp. 1–7, 2015. View at Publisher · View at Google Scholar
  • Janine Wirkner, Andreas Löw, Alfons O. Hamm, and Mathias Weymar, “New learning following reactivation in the human brain: Targeting emotional memories through rapid serial visual presentation,” Neurobiology of Learning and Memory, 2015. View at Publisher · View at Google Scholar
  • Anne Hauswald, Teresa Übelacker, Sabine Leske, and Nathan Weisz, “What it means to be Zen: marked modulations of local and interareal synchronization during open monitoring meditation,” NeuroImage, 2015. View at Publisher · View at Google Scholar
  • Anne Klepp, Valentina Niccolai, Giovanni Buccino, Alfons Schnitzler, and Katja Biermann-Ruben, “Language–motor interference reflected in MEG beta oscillations,” NeuroImage, 2015. View at Publisher · View at Google Scholar
  • Jacek P. Dmochowski, Alex S. Greaves, and Anthony M. Norcia, “Maximally reliable spatial filtering of steady state visual evoked potentials,” NeuroImage, 2015. View at Publisher · View at Google Scholar
  • Maria Chiara Liverani, Aurélie L. Manuel, Aurélie Bouzerda-Wahlen, Mélanie Genetti, Adrian G. Guggisberg, Louis Nahum, and Armin Schnider, “Memory in time: electrophysiological comparison between reality filtering and temporal order judgment,” Neuroscience, 2015. View at Publisher · View at Google Scholar
  • Jiahui Shen, Gaoyan Zhang, Li Yao, and Xiaojie Zhao, “Real-time fMRI training-induced changes in regional connectivity mediating verbal working memory behavioral performance,” Neuroscience, 2015. View at Publisher · View at Google Scholar
  • Li Zhang, John Q. Gan, and Haixian Wang, “Mathematically gifted adolescents mobilize enhanced workspace configuration of theta cortical network during deductive reasoning,” Neuroscience, 2015. View at Publisher · View at Google Scholar
  • Laura Tiemann, Elisabeth S. May, Martina Postorino, Enrico Schulz, Moritz M. Nickel, Ulrike Bingel, and Markus Ploner, “Differential neurophysiological correlates of bottom-up and top-down modulations of pain,” Pain, vol. 156, no. 2, pp. 289–296, 2015. View at Publisher · View at Google Scholar
  • Meng Sun, Xiongwei Zhang, and Hugo Van hamme, “A Stable Approach for Model Order Selection in Nonnegative Matrix Factorization,” Pattern Recognition Letters, 2015. View at Publisher · View at Google Scholar
  • Lin Wang, Rinus G. Verdonschot, and Yufang Yang, “The processing difference between person names and common nouns in sentence contexts: an ERP study,” Psychological Research, 2015. View at Publisher · View at Google Scholar
  • Maor Zeev-Wolf, Miriam Faust, Yechiel Levkovitz, Yuval Harpaz, and Abraham Goldstein, “Magnetoencephalographic evidence of early right hemisphere overactivation during metaphor comprehension in schizophrenia,” Psychophysiology, 2015. View at Publisher · View at Google Scholar
  • Lin Wang, Marcel Bastiaansen, and Yufang Yang, “ERP responses to person names as a measure of trait inference in person perception,” Social Neuroscience, vol. 10, no. 1, pp. 89–99, 2015. View at Publisher · View at Google Scholar
  • Rubin Wang, Guanzheng Wang, and Jinchao Zheng, “An Exploration of the Range of Noise Intensity That Affects the Membrane Potential of Neurons,” Abstract and Applied Analysis, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • B. S. Manjunath, “Multicamera Video Summarization and Anomaly Detection from Activity Motifs,” Acm Transactions on Sensor Networks, vol. 10, no. 2, 2014. View at Publisher · View at Google Scholar
  • Smita Pradhan, and Dipti Patra, “RMI based non-rigid image registration using BF-QPSO optimization and P-spline,” AEU - International Journal of Electronics and Communications, 2014. View at Publisher · View at Google Scholar
  • M. E. López, P. Cuesta, P. Garcés, P. N. Castellanos, S. Aurtenetxe, R. Bajo, A. Marcos, M. L. Delgado, P. Montejo, J. L. López-Pantoja, F. Maestú, and A. Fernandez, “MEG spectral analysis in subtypes of mild cognitive impairment,” Age, 2014. View at Publisher · View at Google Scholar
  • María Eugenia López, Pilar Garcés, Pablo Cuesta, Nazareth P. Castellanos, Sara Aurtenetxe, Ricardo Bajo, Alberto Marcos, Mercedes Montenegro, Raquel Yubero, Francisco del Pozo, Miguel Sancho, and Fernando Maestú, “Synchronization during an internally directed cognitive state in healthy aging and mild cognitive impairment: a MEG study,” Age, vol. 36, no. 3, 2014. View at Publisher · View at Google Scholar
  • Burke Q. Rosen, Ryan O'Hara, Sanja Kovacevic, Andrew Schulman, Nevena Padovan, and Ksenija Marinkovic, “Oscillatory spatial profile of alcohol's effects on the resting state: Anatomically-constrained MEG,” Alcohol, 2014. View at Publisher · View at Google Scholar
  • Lynn M. McCane, Eric W. Sellers, Dennis J. McFarland, Joseph N. Mak, C. Steve Carmack, Debra Zeitlin, Jonathan R. Wolpaw, and Theresa M. Vaughan, “Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis,” Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • Zhigang Yao, and William F. Eddy, “A Statistical Approach To The Inverse Problem In Magnetoencephalography,” Annals of Applied Statistics, vol. 8, no. 2, pp. 1119–1144, 2014. View at Publisher · View at Google Scholar
  • Frédéric D. Broccard, Tim Mullen, Yu Mike Chi, David Peterson, John R. Iversen, Mike Arnold, Kenneth Kreutz-Delgado, Tzyy-Ping Jung, Scott Makeig, Howard Poizner, Terrence Sejnowski, and Gert Cauwenberghs, “Closed-Loop Brain–Machine–Body Interfaces for Noninvasive Rehabilitation of Movement Disorders,” Annals of Biomedical Engineering, 2014. View at Publisher · View at Google Scholar
  • Christine E. King, Kunal R. Dave, Po T. Wang, Masato Mizuta, David J. Reinkensmeyer, An H. Do, Shunji Moromugi, and Zoran Nenadic, “Performance Assessment of a Brain-Computer Interface Driven Hand Orthosis,” Annals of Biomedical Engineering, vol. 42, no. 10, pp. 2095–2105, 2014. View at Publisher · View at Google Scholar
  • Bongjae Chung, and Juan Raul Cebral, “CFD for Evaluation and Treatment Planning of Aneurysms: Review of Proposed Clinical Uses and Their Challenges,” Annals of Biomedical Engineering, 2014. View at Publisher · View at Google Scholar
  • Habib Bousleiman, Ronan Zimmermann, Shaheen Ahmed, Martin Hardmeier, Florian Hatz, Christian Schindler, Volker Roth, Ute Gschwandtner, and Peter Fuhr, “Power spectra for screening parkinsonian patients for mild cognitive impairment,” Annals of Clinical and Translational Neurology, 2014. View at Publisher · View at Google Scholar
  • Ehsan Lotfi, Saeed Setayeshi, and Saeed Taimory, “A Neural Basis Computational Model of Emotional Brain for Online Visual Object Recognition,” Applied Artificial Intelligence, vol. 28, no. 8, pp. 814–834, 2014. View at Publisher · View at Google Scholar
  • Yogendra Narain Singh, “Individual Identification Using Linear Projection of Heartbeat Features,” Applied Computational Intelligence and Soft Computing, vol. 2014, pp. 1–14, 2014. View at Publisher · View at Google Scholar
  • Nija Mani, Gursaran Srivastava, A. K. Sinha, and Ashish Mani, “Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm,” Applied Computational Intelligence and Soft Computing, vol. 2014, pp. 1–22, 2014. View at Publisher · View at Google Scholar
  • Qing Qin, Jiang Wang, Ming Xue, Bin Deng, and Xile Wei, “Charactering neural spiking activity evoked by acupuncture through state-space model,” Applied Mathematical Modelling, 2014. View at Publisher · View at Google Scholar
  • Yilmaz Kaya, Murat Uyar, Ramazan Tekin, and Selcuk Yildirim, “1D-local binary pattern based feature extraction for classification of epileptic EEG signals,” Applied Mathematics and Computation, vol. 243, pp. 209–219, 2014. View at Publisher · View at Google Scholar
  • Guo-Cyuan Chen, and Chia-Feng Juang, “An accuracy-oriented self-splitting fuzzy classifier with support vector learning in high-order expanded consequent space,” Applied Soft Computing, vol. 15, pp. 231–242, 2014. View at Publisher · View at Google Scholar
  • Kalyani Sambhoo, Sanjay Kadam, and Ashok Deshpande, “Ranking of sites for power plant installation using soft computing techniques - A thought beyond EIA,” Applied Soft Computing, vol. 23, pp. 556–566, 2014. View at Publisher · View at Google Scholar
  • Wasim A. Hussein, Shahnorbanun Sahran, and Siti Norul Huda Sheikh Abdullah, “Patch-Levy-based initialization algorithm for Bees Algorithm,” Applied Soft Computing, vol. 23, pp. 104–121, 2014. View at Publisher · View at Google Scholar
  • Sebastian Halder, Andreas Pinegger, Ivo Käthner, Selina C Wriessnegger, Josef Faller, João B Pires Antunes, Gernot R Müller-Putz, and Andrea Kübler, “Brain-controlled applications using dynamic P300 speller matrices,” Artificial Intelligence in Medicine, 2014. View at Publisher · View at Google Scholar
  • Yaqub Jonmohamadi, Govinda Poudel, Carrie Innes, and Richard Jones, “Voxel-ICA for reconstruction of source signal time-series and orientation in EEG and MEG,” Australasian Physical & Engineering Sciences in Medicine, 2014. View at Publisher · View at Google Scholar
  • Munsif Ali Jatoi, Nidal Kamel, Aamir Saeed Malik, and Ibrahima Faye, “EEG based brain source localization comparison of sLORETA and eLORETA,” Australasian Physical & Engineering Sciences in Medicine, 2014. View at Publisher · View at Google Scholar
  • Etienne Sallard, Jessica Tallet, Gregor Thut, Marie-Pierre Deiber, and Jérôme Barral, “Post-switching beta synchronization reveals concomitant sensory reafferences and active inhibition processes,” Behavioural Brain Research, 2014. View at Publisher · View at Google Scholar
  • Niels Birbaumer, and Friedhelm C. Hummel, “Habit learning and brain–machine interfaces (BMI): a tribute to Valentino Braitenberg’s “Vehicles”,” Biological Cybernetics, 2014. View at Publisher · View at Google Scholar
  • Bigna Lenggenhager, Lukas Heydrich, and Olaf Blanke, “Suppression of the auditory N1-component for heartbeat-related sounds reflects interoceptive predictive coding,” Biological Psychology, vol. 99, pp. 172–182, 2014. View at Publisher · View at Google Scholar
  • Philipp Hintze, Markus Junghöfer, and Maximilian Bruchmann, “Evidence for rapid prefrontal emotional evaluation from visual evoked responses to conditioned gratings,” Biological Psychology, 2014. View at Publisher · View at Google Scholar
  • Michiel van Elk, Roy Salomon, Oliver Kannape, and Olaf Blanke, “Suppression of the Ni auditory evoked potential for sounds generated by the upper and lower limbs,” Biological Psychology, vol. 102, pp. 108–117, 2014. View at Publisher · View at Google Scholar
  • Chia-Hsiung Cheng, Sylvain Baillet, Fu-Jung Hsiao, and Yung-Yang Lin, “Effects of aging on the neuromagnetic mismatch detection to speech sounds,” Biological Psychology, 2014. View at Publisher · View at Google Scholar
  • Jingting Zhao, Wei-kuang Liang, Chi-Hung Juan, Lin Wang, Suiping Wang, and Zude Zhu, “Dissociated stimulus and response conflict effect in the Stroop task: Evidence from evoked brain potentials and brain oscillations,” Biological Psychology, 2014. View at Publisher · View at Google Scholar
  • Seth Herd, Andrew Szabados, Yury Vinokurov, Christian Lebiere, Ashley Cline, and Randall C. O’Reilly, “Integrating theories of motor sequencing in the SAL hybrid architecture,” Biologically Inspired Cognitive Architectures, 2014. View at Publisher · View at Google Scholar
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  • David Bakhos, Hélène Delage, John Galvin, Emmanuel Lescanne, Sylvie Roux, Frédérique Bonnet-Brilhault, and Nicole Bruneau, “Cortical Electrophysiological Markers of Language Abilities in Children with Hearing Aids: A Pilot Study,” BioMed Research International, vol. 2014, pp. 1–7, 2014. View at Publisher · View at Google Scholar
  • Chung-Hsiang Liu, Yi-Wen Lin, Hsin-Cheng Hsu, Hsu-Jan Liu, Wan-Jung Lin, and Ching-Liang Hsieh, “Electroacupuncture at ST36-ST37 and at Ear Ameliorates Hippocampal Mossy Fiber Sprouting in Kainic Acid-Induced Epileptic Seizure Rats,” BioMed Research International, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar
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  • Cezary Sieluzycki, and Pawel Kordowski, “Maximum-likelihood estimation of channel-dependent trial-to-trial variability of auditory evoked brain responses in MEG,” Biomedical Engineering Online, vol. 13, 2014. View at Publisher · View at Google Scholar
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