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Citations to this Journal [2,446 citations: 1–100 of 2,144 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 2,446 times. The following is a list of the 2,144 articles that have cited the articles published in Computational Intelligence and Neuroscience.

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Lin Wang, and Marcel Bastiaansen, “Oscillatory brain dynamics associated with the automatic processing of emotion in words,” Brain and Language, vol. 137, pp. 120–129, 2014. View at Publisher · View at Google Scholar
  • Jose Angel Pineda-Pardo, Pilar Garcés, María Eugenia López, Sara Aurtenetxe, Pablo Cuesta, Alberto Marcos, Pedro Montejo, Miguel Yus, Juan Antonio Hernández-Tamames, Francisco del-Pozo, James T Becker, and Fernando Maestu, “White matter damage disorganizes brain functional networks in amnestic Mild Cognitive Impairment,” Brain Connectivity, pp. 140311105600009, 2014. View at Publisher · View at Google Scholar
  • Saeid Mehrkanoon, Michael Breakspear, Juliane Britz, and Tjeerd W. Boonstra, “Intrinsic coupling modes in source-reconstructed electroencephalography,” Brain Connectivity, pp. 140917155611001, 2014. View at Publisher · View at Google Scholar
  • Mo Chen, Junwei Han, Xintao Hu, Xi Jiang, Lei Guo, and Tianming Liu, “Survey of encoding and decoding of visual stimulus via FMRI: an image analysis perspective,” Brain Imaging and Behavior, vol. 8, no. 1, pp. 7–23, 2014. View at Publisher · View at Google Scholar
  • Miroslaw Wyczesany, Tomasz S. Ligeza, and Szczepan J. Grzybowski, “Effective connectivity during visual processing is affected by emotional state,” Brain Imaging and Behavior, 2014. View at Publisher · View at Google Scholar
  • Ksenija Marinkovic, Burke Q. Rosen, Brendan Cox, and Donald J. Hagler, “Spatio-temporal processing of words and nonwords: hemispheric laterality and acute alcohol intoxication,” Brain Research, 2014. View at Publisher · View at Google Scholar
  • Reiko Sawada, Wataru Sato, Shota Uono, Takanori Kochiyama, and Motomi Toichi, “Electrophysiological correlates of the efficient detection of emotional facial expressions,” Brain Research, 2014. View at Publisher · View at Google Scholar
  • Zeshu Shao, Ardi Roelofs, Daniel J. Acheson, and Antje S. Meyer, “Electrophysiological Evidence that Inhibition Supports Lexical Selection in Picture Naming,” Brain Research, 2014. View at Publisher · View at Google Scholar
  • Susana Silva, Paulo Branco, Fernando Barbosa, João Marques-Teixeira, Karl Magnus Petersson, and São Luís Castro, “Musical phrase boundaries, wrap-up and the closure positive shift,” Brain Research, 2014. View at Publisher · View at Google Scholar
  • Yuka O. Okazaki, Peter De Weerd, Saskia Haegens, and Ole Jensen, “Hemispheric lateralization of posterior alpha reduces distracter interference during face matching,” Brain Research, 2014. View at Publisher · View at Google Scholar
  • Jessica Van Doren, Berthold Langguth, and Martin Schecklmann, “Electroencephalographic Effects of Transcranial Random Noise Stimulation in the Auditory Cortex,” Brain Stimulation, 2014. View at Publisher · View at Google Scholar
  • Thomas Koenig, Maria Stein, Matthias Grieder, and Mara Kottlow, “A Tutorial on Data-Driven Methods for Statistically Assessing ERP Topographies,” Brain Topography, vol. 27, no. 1, pp. 72–83, 2014. View at Publisher · View at Google Scholar
  • Daniela Hubl, Rahel C. Schneider, Mara Kottlow, Jochen Kindler, Werner Strik, Thomas Dierks, and Thomas Koenig, “Agency and Ownership are Independent Components of ‘Sensing the Self’ in the Auditory-Verbal Domain,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • Aurélie Bidet-Caulet, Laure Bottemanne, Clara Fonteneau, Marie-Hélène Giard, and Olivier Bertrand, “Brain Dynamics of Distractibility: Interaction Between Top-Down and Bottom-Up Mechanisms of Auditory Attention,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • Sophie Galer, Marc Op De Beeck, Charline Urbain, Mathieu Bourguignon, Noémie Ligot, Vincent Wens, Brice Marty, Patrick Van Bogaert, Philippe Peigneux, and Xavier De Tiège, “Investigating the Neural Correlates of the Stroop Effect with Magnetoencephalography,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • M. Gröne, M. Dyck, Y. Koush, S. Bergert, K. A. Mathiak, E. M. Alawi, M. Elliott, and K. Mathiak, “Upregulation of the Rostral Anterior Cingulate Cortex can Alter the Perception of Emotions: fMRI-Based Neurofeedback at 3 and 7 T,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • Alena Kuhn, Verena Brodbeck, Enzo Tagliazucchi, Astrid Morzelewski, Frederic von Wegner, and Helmut Laufs, “Narcoleptic Patients Show Fragmented EEG-Microstructure During Early NREM Sleep,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • Sophie K. Herbst, Maximilien Chaumon, Trevor B. Penney, and Niko A. Busch, “Flicker-Induced Time Dilation Does Not Modulate EEG Correlates of Temporal Encoding,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • Maddalena Fabbri-Destro, Pietro Avanzini, Elisa De Stefani, Alessandro Innocenti, Cristina Campi, and Maurizio Gentilucci, “Interaction Between Words and Symbolic Gestures as Revealed By N400,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • Adrian G. Guggisberg, Sviatlana Rizk, Radek Ptak, Marie Di Pietro, Arnaud Saj, François Lazeyras, Karl-Olof Lovblad, Armin Schnider, and Jean-Michel Pignat, “Two Intrinsic Coupling Types for Resting-State Integration in the Human Brain,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • Guofa Shou, and Lei Ding, “Detection of EEG Spatial–Spectral–Temporal Signatures of Errors: A Comparative Study of ICA-Based and Channel-Based Methods,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • John E. Richards, Corey Boswell, Michael Stevens, and Jennifer M. C. Vendemia, “Evaluating Methods for Constructing Average High-Density Electrode Positions,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • Jörn M. Horschig, Wouter Oosterheert, Robert Oostenveld, and Ole Jensen, “Modulation of Posterior Alpha Activity by Spatial Attention Allows for Controlling A Continuous Brain–Computer Interface,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • Beatriz Bermúdez-Margaretto, David Beltrán, Alberto Domínguez, and Fernando Cuetos, “Repeated Exposure to “meaningless” Pseudowords Modulates LPC, but Not N(FN)400,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • Silke Klamer, Adham Elshahabi, Holger Lerche, Christoph Braun, Michael Erb, Klaus Scheffler, and Niels K. Focke, “Differences Between MEG and High-Density EEG Source Localizations Using a Distributed Source Model in Comparison to fMRI,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • Giannina R. Iannotti, Francesca Pittau, Christoph M. Michel, Serge Vulliemoz, and Frédéric Grouiller, “Pulse Artifact Detection in Simultaneous EEG–fMRI Recording Based on EEG Map Topography,” Brain Topography, 2014. View at Publisher · View at Google Scholar
  • Dominic Heger, Christian Herff, Felix Putze, Reinhard Mutter, and Tanja Schultz, “Continuous affective states recognition using functional near infrared spectroscopy,” Brain-Computer Interfaces, pp. 1–13, 2014. View at Publisher · View at Google Scholar
  • Xiaogang Chen, Zhikai Chen, Shangkai Gao, and Xiaorong Gao, “A high-ITR SSVEP-based BCI speller,” Brain-Computer Interfaces, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • Michael M. Halassa, Zhe Chen, Ralf D. Wimmer, Philip M. Brunetti, Shengli Zhao, Basilis Zikopoulos, Fan Wang, Emery N. Brown, and Matthew A. Wilson, “State-Dependent Architecture of Thalamic Reticular Subnetworks,” Cell, vol. 158, no. 4, pp. 808–821, 2014. View at Publisher · View at Google Scholar
  • Dariusz Mikolajewski, “The prospects of brain - computer interface applications in children,” Central European Journal of Medicine, vol. 9, no. 1, pp. 74–79, 2014. View at Publisher · View at Google Scholar
  • Bernhard Spitzer, Matthias Gloel, Timo T. Schmidt, and Felix Blankenburg, “Working Memory Coding of Analog Stimulus Properties in the Human Prefrontal Cortex,” Cerebral Cortex, vol. 24, no. 8, pp. 2229–2236, 2014. View at Publisher · View at Google Scholar
  • A. Wilsch, M. J. Henry, B. Herrmann, B. Maess, and J. Obleser, “Alpha Oscillatory Dynamics Index Temporal Expectation Benefits in Working Memory,” Cerebral Cortex, 2014. View at Publisher · View at Google Scholar
  • J. Hogeveen, T. L. Chartrand, and S. S. Obhi, “Social Mimicry Enhances Mu-Suppression During Action Observation,” Cerebral Cortex, 2014. View at Publisher · View at Google Scholar
  • C. Shen, S. Ardid, D. Kaping, S. Westendorff, S. Everling, and T. Womelsdorf, “Anterior Cingulate Cortex Cells Identify Process-Specific Errors of Attentional Control Prior to Transient Prefrontal-Cingulate Inhibition,” Cerebral Cortex, 2014. View at Publisher · View at Google Scholar
  • L. H. Arnal, K. B. Doelling, and D. Poeppel, “Delta-Beta Coupled Oscillations Underlie Temporal Prediction Accuracy,” Cerebral Cortex, 2014. View at Publisher · View at Google Scholar
  • N. Muller, S. Leske, T. Hartmann, S. Szebenyi, and N. Weisz, “Listen to Yourself: The Medial Prefrontal Cortex Modulates Auditory Alpha Power During Speech Preparation,” Cerebral Cortex, 2014. View at Publisher · View at Google Scholar
  • I. M. Schepers, D. Yoshor, and M. S. Beauchamp, “Electrocorticography Reveals Enhanced Visual Cortex Responses to Visual Speech,” Cerebral Cortex, 2014. View at Publisher · View at Google Scholar
  • A. Bidet-Caulet, K. G. Buchanan, H. Viswanath, J. Black, D. Scabini, F. Bonnet-Brilhault, and R. T. Knight, “Impaired Facilitatory Mechanisms of Auditory Attention After Damage of the Lateral Prefrontal Cortex,” Cerebral Cortex, 2014. View at Publisher · View at Google Scholar
  • G. T. Waldhauser, K.-H. T. Bauml, and S. Hanslmayr, “Brain Oscillations Mediate Successful Suppression of Unwanted Memories,” Cerebral Cortex, 2014. View at Publisher · View at Google Scholar
  • I. El Karoui, J.-R. King, J. Sitt, F. Meyniel, S. Van Gaal, D. Hasboun, C. Adam, V. Navarro, M. Baulac, S. Dehaene, L. Cohen, and L. Naccache, “Event-Related Potential, Time-frequency, and Functional Connectivity Facets of Local and Global Auditory Novelty Processing: An Intracranial Study in Humans,” Cerebral Cortex, 2014. View at Publisher · View at Google Scholar
  • J. L. Chan, M. J. Koval, T. Womelsdorf, S. G. Lomber, and S. Everling, “Dorsolateral Prefrontal Cortex Deactivation in Monkeys Reduces Preparatory Beta and Gamma Power in the Superior Colliculus,” Cerebral Cortex, 2014. View at Publisher · View at Google Scholar
  • T. J. Baumgarten, A. Schnitzler, and J. Lange, “Prestimulus Alpha Power Influences Tactile Temporal Perceptual Discrimination and Confidence in Decisions,” Cerebral Cortex, 2014. View at Publisher · View at Google Scholar
  • Jiqian Liu, and Yunde Jia, “Hebbian-based mean shift for learning the diverse shapes of V1 simple cell receptive fields,” Chinese Science Bulletin, 2014. View at Publisher · View at Google Scholar
  • Adriaan R. E. Potgieser, Michiel Wagemakers, Arjen L. J. van Hulzen, Bauke M. de Jong, Eelco W. Hoving, and Rob J. M. Groen, “The role of diffusion tensor imaging in brain tumor surgery: A review of the literature,” Clinical Neurology and Neurosurgery, vol. 124, pp. 51–58, 2014. View at Publisher · View at Google Scholar
  • M. Severens, M. Van der Waal, J. Farquhar, and P. Desain, “Comparing tactile and visual gaze-independent brain-computer interfaces in patients with amyotrophic lateral sclerosis and healthy users,” Clinical Neurophysiology, 2014. View at Publisher · View at Google Scholar
  • Elisabeth S. May, Markus Butz, Nina Kahlbrock, Meike Brenner, Nienke Hoogenboom, Gerald Kircheis, Dieter Häussinger, and Alfons Schnitzler, “Hepatic encephalopathy is associated with slowed and delayed stimulus-associated somatosensory alpha activity,” Clinical Neurophysiology, 2014. View at Publisher · View at Google Scholar
  • Jose A. Cortes-Briones, John D. Cahill, Mohini Ranganathan, Andrew R. Sewell, Deepak C. D’Souza, and Patrick D. Skosnik, “Testing Differences in the Activity of Event-Related Potential Sources: Important Implications for Clinical Researchers,” Clinical Neurophysiology, 2014. View at Publisher · View at Google Scholar
  • Simone G. Heideman, Erik S. te Woerd, and Peter Praamstra, “Rhythmic entrainment of slow brain activity preceding leg movements,” Clinical Neurophysiology, 2014. View at Publisher · View at Google Scholar
  • F. Hatz, M. Hardmeier, H. Bousleiman, S. Rüegg, C. Schindler, and P. Fuhr, “Reliability of fully automated versus visually controlled pre- and postprocessing of resting-state EEG,” Clinical Neurophysiology, 2014. View at Publisher · View at Google Scholar
  • A. Gulberti, W. Hamel, C. Buhmann, K. Boelmans, S. Zittel, C. Gerloff, M. Westphal, A.K. Engel, T.R. Schneider, and C.K.E. Moll, “Subthalamic deep brain stimulation improves auditory sensory gating deficit in Parkinson’s disease,” Clinical Neurophysiology, 2014. View at Publisher · View at Google Scholar
  • Catharina Zich, Maarten De Vos, Cornelia Kranczioch, and Stefan Debener, “Wireless EEG with individualized channel layout enables efficient motor imagery training,” Clinical Neurophysiology, 2014. View at Publisher · View at Google Scholar