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Citations to this Journal [2,771 citations: 101–200 of 2,409 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 2,771 times. The following is a list of the 2,409 articles that have cited the articles published in Computational Intelligence and Neuroscience.

  • B.C.M. van Wijk, A. Jha, W. Penny, and V. Litvak, “Parametric estimation of cross-frequency coupling,” Journal of Neuroscience Methods, 2015. View at Publisher · View at Google Scholar
  • Maximilien Chaumon, Dorothy V.M. Bishop, and Niko A. Busch, “A Practical Guide to the Selection of Independent Components of the Electroencephalogram for Artifact Correction,” 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
  • Rotem Cohen, Shimon Abboud, and Marina Arad, “Monitoring brain damage using bioimpedance technique in a 3D numerical model of the head,” Medical Engineering & Physics, 2015. View at Publisher · View at Google Scholar
  • Saurabh Kumar Agarwal, Saatvik Shah, and Rajesh Kumar, “Group based Swarm evolution algorithm (GSEA) driven mental task classifier,” Memetic Computing, 2015. View at Publisher · View at Google Scholar
  • Scott L Brincat, and Earl K Miller, “Frequency-specific hippocampal-prefrontal interactions during associative learning,” Nature Neuroscience, 2015. View at Publisher · View at Google Scholar
  • Paolo Massobrio, Jacopo Tessadori, Michela Chiappalone, and Mirella Ghirardi, “ In Vitro Studies of Neuronal Networks and Synaptic Plasticity in Invertebrates and in Mammals Using Multielectrode Arrays ,” Neural Plasticity, vol. 2015, pp. 1–18, 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
  • A. M. Alvarez-Meza, L. F. Velasquez-Martinez, and G. Castellanos-Dominguez, “Time-series discrimination using feature relevance analysis in motor imagery classification,” Neurocomputing, vol. 151, pp. 122–129, 2015. View at Publisher · View at Google Scholar
  • Luis F. Nicolas-Alonso, Rebeca Corralejo, Javier Gomez-Pilar, Daniel Álvarez, and Roberto Hornero, “Adaptive semi-supervised classification to reduce intersession non-stationarity in multiclass motor imagery-based brain–computer interfaces,” Neurocomputing, 2015. View at Publisher · View at Google Scholar
  • R. Hindriks, M. Woolrich, H. Luckhoo, M. Joensson, H. Mohseni, M. L. Kringelbach, and G. Deco, “Role of white-matter pathways in coordinating alpha oscillations in resting visual cortex,” Neuroimage, vol. 106, pp. 328–339, 2015. View at Publisher · View at Google Scholar
  • Virginie van Wassenhove, and Lucille Lecoutre, “Duration estimation entails predicting when,” Neuroimage, vol. 106, pp. 272–283, 2015. View at Publisher · View at Google Scholar
  • Saskia Helbling, Sundeep Teki, Martina F. Callaghan, William Sedley, Siawoosh Mohammadi, Timothy D. Griffiths, Nikolaus Weiskopf, and Gareth R. Barnes, “Structure predicts function: Combining non-invasive electrophysiology with in-vivo histology,” Neuroimage, vol. 108, pp. 377–385, 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
  • Paula Sanz-Leon, Stuart A. Knock, Andreas Spiegler, and Viktor K. Jirsa, “Mathematical framework for large-scale brain network modeling in The Virtual Brain,” NeuroImage, 2015. View at Publisher · View at Google Scholar
  • Jae-Hyun Cho, Johannes Vorwerk, Carsten H. Wolters, and Thomas R. Knösche, “Influence of the head model on EEG and MEG source connectivity analysis,” NeuroImage, 2015. View at Publisher · View at Google Scholar
  • Esther Florin, and Sylvain Baillet, “The brain's resting-state activity is shaped by synchronized cross-frequency coupling of neural oscillations,” NeuroImage, vol. 111, pp. 26–35, 2015. View at Publisher · View at Google Scholar
  • Mathias Vukelić, and Alireza Gharabaghi, “Oscillatory entrainment of the motor cortical network during motor imagery is modulated by the feedback modality,” NeuroImage, 2015. View at Publisher · View at Google Scholar
  • Marina Laganaro, Hélène Tzieropoulos, Ulrich H. Frauenfelder, and Pascal Zesiger, “Functional and time-course changes in single word production from childhood to adulthood,” NeuroImage, 2015. View at Publisher · View at Google Scholar
  • Yu Liao, Zeynep Akalin Acar, Scott Makeig, and Gedeon Deak, “EEG imaging of toddlers during dyadic turn-taking: Mu-rhythm modulation while producing or observing social actions,” NeuroImage, 2015. View at Publisher · View at Google Scholar
  • Tzvetan G. Popov, Almut Carolus, David Schubring, Petia Popova, Gregory A. Miller, and Brigitte S. Rockstroh, “Targeted training modifies oscillatory brain activity in schizophrenia patients,” NeuroImage: Clinical, vol. 7, pp. 807–814, 2015. View at Publisher · View at Google Scholar
  • André Moraes Bastos, Julien Vezoli, Conrado Arturo Bosman, Jan-Mathijs Schoffelen, Robert Oostenveld, Jarrod Robert Dowdall, Peter De Weerd, Henry Kennedy, and Pascal Fries, “Visual Areas Exert Feedforward and Feedback Influences through Distinct Frequency Channels,” Neuron, vol. 85, no. 2, pp. 390–401, 2015. View at Publisher · View at Google Scholar
  • Chang-hyun Park, Won Hyuk Chang, Minji Lee, Gyu Hyun Kwon, Laehyun Kim, Sung Tae Kim, and Yun-Hee Kim, “Predicting the Performance of Motor Imagery in Stroke Patients: Multivariate Pattern Analysis of Functional MRI Data,” Neurorehabilitation And Neural Repair, vol. 29, no. 3, pp. 247–254, 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
  • W.A. Phillips, A. Clark, and S.M. Silverstein, “On the functions, mechanisms, and malfunctions of intracortical contextual modulation,” Neuroscience & Biobehavioral Reviews, 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
  • Min-Ho Lee, Siamac Fazli, Jan Mehnert, and Seong-Whan Lee, “Subject-dependent classification for robust idle state detection using multi-modal neuroimaging and data-fusion techniques in BCI,” Pattern Recognition, 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
  • Hubert Cecotti, “Toward shift invariant detection of event-related potentials in non-invasive brain-computer interface,” 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
  • Laura Frolich, Tobias S. Andersen, and Morten Morup, “Classification of independent components of EEG into multiple artifact classes,” Psychophysiology, vol. 52, no. 1, pp. 32–45, 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
  • Anna Wilsch, Molly J. Henry, Björn Herrmann, Burkhard Maess, and Jonas Obleser, “Slow-delta phase concentration marks improved temporal expectations based on the passage of time,” Psychophysiology, 2015. View at Publisher · View at Google Scholar
  • Xiang Wu, Liang Zhou, Cheng Qian, Lingyu Gan, and Daren Zhang, “Attentional modulations of the early and later stages of the neural processing of visual completion,” Scientific Reports, vol. 5, pp. 8346, 2015. View at Publisher · View at Google Scholar
  • Qingquan Sun, Jiang Lu, Yeqing Wu, Haiyan Qiao, Xinlin Huang, and Fei Hu, “Non-informative hierarchical Bayesian inference for non-negative matrix factorization,” Signal Processing, vol. 108, pp. 309–321, 2015. View at Publisher · View at Google Scholar
  • Bahriye Akay, and Dervis Karaboga, “A survey on the applications of artificial bee colony in signal, image, and video processing,” Signal, Image and Video Processing, 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
  • Luis R. Manssuer, Mark V. Roberts, and Steven P. Tipper, “The late positive potential indexes a role for emotion during learning of trust from eye-gaze cues,” Social Neuroscience, pp. 1–16, 2015. View at Publisher · View at Google Scholar
  • Khalid Abualsaud, Massudi Mahmuddin, Mohammad Saleh, and Amr Mohamed, “Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data,” The Scientific World Journal, vol. 2015, pp. 1–15, 2015. View at Publisher · View at Google Scholar
  • Richard P. Cooper, and David Peebles, “Beyond Single-Level Accounts: The Role of Cognitive Architectures in Cognitive Scientific Explanation,” Topics in Cognitive Science, 2015. View at Publisher · View at Google Scholar
  • Mahnaz Sinaie, and Paeiz Azmi, “Low Complexity Delay-Aware Energy Efficient Power Allocation in Multicarrier Wireless Networks,” Wireless Personal Communications, 2015. View at Publisher · View at Google Scholar
  • Viola Borchardt, Anna Linda Krause, Tuomo Starck, Juuso Nissilae, Markku Timonen, Vesa Kiviniemi, and Martin Walter, “Graph theory reveals hyper-functionality in visual cortices of Seasonal Affective Disorder patients,” World Journal Of Biological Psychiatry, vol. 16, no. 2, pp. 123–134, 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
  • Giorgio A. Ascoli, Matthew M. Botvinick, Richards J. Heuer, and Rajan Bhattacharyya, “Neurocognitive models of sense-making,” Biologically Inspired Cognitive Architectures, 2014. View at Publisher · View at Google Scholar
  • Jaehyon Paik, Yunfeng Zhang, and Peter Pirolli, “Counterfactual reasoning as a key for explaining adaptive behavior in a changing environment,” Biologically Inspired Cognitive Architectures, 2014. View at Publisher · View at Google Scholar
  • 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
  • Juan J. Perez, “To what extent is the bipolar rheoencephalographic signal contaminated by scalp blood flow? A clinical study to quantify its extra and non-extracranial components,” Biomedical Engineering Online, vol. 13, 2014. View at Publisher · View at Google Scholar
  • Jessica Cantillo-Negrete, Josefina Gutierrez-Martinez, Ruben I. Carino-Escobar, Paul Carrillo-Mora, and David Elias-Vinas, “An approach to improve the performance of subject-independent BCIs-based on motor imagery allocating subjects by gender,” Biomedical Engineering Online, vol. 13, 2014. View at Publisher · View at Google Scholar
  • Huifang Huang, Jie Liu, Qiang Zhu, Ruiping Wang, and Guangshu Hu, “Detection of inter-patient left and right bundle branch block heartbeats in ECG using ensemble classifiers,” Biomedical Engineering Online, vol. 13, 2014. View at Publisher · View at Google Scholar
  • 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
  • Huifang Huang, Jie Liu, Qiang Zhu, Ruiping Wang, and Guangshu Hu, “A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals,” Biomedical Engineering Online, vol. 13, 2014. View at Publisher · View at Google Scholar
  • Assya Bousbia-Salah, and Malika Talha-Kedir, “Time-Frequency Processing Method Of Epileptic Eeg Signals,” Biomedical Engineering: Applications, Basis and Communications, pp. 1550015, 2014. View at Publisher · View at Google Scholar
  • Gert Van Dijck, and Marc M. Van Hulle, “Review of machine learning and signal processing techniques for automated electrode selection in high-density microelectrode arrays,” Biomedical Engineering-Biomedizinische Technik, vol. 59, no. 4, pp. 323–333, 2014. View at Publisher · View at Google Scholar
  • Diana Piper, Karin Schiecke, Lutz Leistritz, Britta Pester, Franz Benninger, Martha Feucht, Mihaela Ungureanu, Rodica Strungaru, and Herbert Witte, “Synchronization analysis between heart rate variability and EEG activity before, during, and after epileptic seizure,” Biomedical Engineering-Biomedizinische Technik, vol. 59, no. 4, pp. 343–355, 2014. View at Publisher · View at Google Scholar
  • Yijun Xiong, Yu Luo, Wentao Huang, Wenjia Zhang, Yong Yang, and Junfeng Gao, “A novel classification method based on ICA and ELM : a case study in lie detection,” Bio-Medical Materials and Engineering, vol. 24, no. 1, pp. 357–363, 2014. View at Publisher · View at Google Scholar
  • Varun Joshi, Ram Bilas Pachori, and Antony Vijesh, “Classification of ictal and seizure-free EEG signals using fractional linear prediction,” Biomedical Signal Processing and Control, vol. 9, pp. 1–5, 2014. View at Publisher · View at Google Scholar
  • Munsif Ali Jatoi, Nidal Kamel, Aarnir Saeed Malik, Ibrahima Faye, and Tahamina Begum, “A survey of methods used for source localization using EEG signals,” Biomedical Signal Processing and Control, vol. 11, pp. 42–52, 2014. View at Publisher · View at Google Scholar
  • Luzheng Bi, Jinling Lian, Ke Jie, Ru Lai, and Yili Liu, “A speed and direction-based cursor control system with P300 and SSVEP,” Biomedical Signal Processing and Control, vol. 14, pp. 126–133, 2014. View at Publisher · View at Google Scholar
  • Yaqub Jonmohamadi, Govinda Poudel, Carrie Innes, Daniel Weiss, Rejko Krueger, and Richard Jones, “Comparison of beamformers for EEG source signal reconstruction,” Biomedical Signal Processing and Control, vol. 14, pp. 175–188, 2014. View at Publisher · View at Google Scholar
  • Le Ou-Yang, Dao-Qing Dai, Xiao-Li Li, Min Wu, Xiao-Fei Zhang, and Peng Yang, “Detecting temporal protein complexes from dynamic protein-protein interaction networks,” Bmc Bioinformatics, vol. 15, 2014. View at Publisher · View at Google Scholar
  • Ilse M. Verweij, Nico Romeijn, Dirk J. A. Smit, Giovanni Piantoni, Eus J. W. Van Someren, and Ysbrand D. van der Werf, “Sleep deprivation leads to a loss of functional connectivity in frontal brain regions,” Bmc Neuroscience, vol. 15, 2014. View at Publisher · View at Google Scholar
  • Fang Duan, Katsumi Watanabe, Yuko Yoshimura, Mitsuru Kikuchi, Yoshio Minabe, and Kazuyuki Aihara, “Relationship between brain network pattern and cognitive performance of children revealed by MEG signals during free viewing of video,” Brain and Cognition, vol. 86, pp. 10–16, 2014. View at Publisher · View at Google Scholar
  • J.A. Hinojosa, J. Albert, S. López-Martín, and L. Carretié, “Temporospatial analysis of explicit and implicit processing of negative content during word comprehension,” Brain and Cognition, vol. 87, pp. 109–121, 2014. View at Publisher · View at Google Scholar
  • Cyril Perret, Patrick Bonin, and Marina Laganaro, “Exploring the multiple-level hypothesis of AoA effects in spoken and written object naming using a topographic ERP analysis,” Brain and Language, vol. 135, pp. 20–31, 2014. View at Publisher · View at Google Scholar
  • Carlos M. Hamamé, F.-Xavier Alario, Anais Llorens, Catherine Liégeois-Chauvel, and Agnés Trébuchon-Da Fonseca, “High frequency gamma activity in the left hippocampus predicts visual object naming performance,” Brain and Language, vol. 135, pp. 104–114, 2014. View at Publisher · View at Google Scholar