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Citations to this Journal [2,137 citations: 1–100 of 1,874 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 2,137 times. The following is a list of the 1,874 articles that have cited the articles published in Computational Intelligence and Neuroscience.

  • 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
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  • 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
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  • 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
  • Guo-Cyuan Chen, “An accuracy-oriented self-splitting fuzzy classifier with support vector le arning in high-order expanded consequent space,” Applied Soft Computing, vol. 15, pp. 231–242, 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
  • 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
  • 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
  • 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
  • Yijun Xiong, Yu Luo, Wentao Huang, Wenjia Zhang, and Yong Yang, “A novel classification method based on ICA and ELM : a case study in lie de tection,” 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
  • 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
  • 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
  • Mo Chen, Junwei Han, Xintao Hu, Xi Jiang, and Lei Guo, “Survey of encoding and decoding of visual stimulus via FMRI: an image analy sis perspective,” Brain Imaging and Behavior, vol. 8, no. 1, pp. 7–23, 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
  • Maria Stein, Matthias Grieder, and Mara Kottlow, “A Tutorial on Data-Driven Methods for Statistically Assessing ERP Topograph ies,” 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Anahita Basirat, Stanislas Dehaene, and Ghislaine Dehaene-Lambertz, “A hierarchy of cortical responses to sequence violations in three-month-old infants,” Cognition, vol. 132, no. 2, pp. 137–150, 2014. View at Publisher · View at Google Scholar
  • Hongtao Wang, Yuanqing Li, Jinyi Long, Tianyou Yu, and Zhenghui Gu, “An asynchronous wheelchair control by hybrid EEG–EOG brain–computer interface,” Cognitive Neurodynamics, 2014. View at Publisher · View at Google Scholar
  • Anna Jaworek, Mathias Weymar, Andreas Löw, and Alfons O. Hamm, “Brain potentials reflecting spontaneous retrieval of emotional long-term memories,” Cognitive Neuroscience, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • Gareth Roberts, Timothy W. Jones, Elizabeth A. Davis, Trang T. Ly, and Mike Anderson, “Building tasks from verbal instructions: An EEG study on practice trial exposure and task structure complexity during novel sequences of behavior,” Cognitive, Affective, & Behavioral Neuroscience, 2014. View at Publisher · View at Google Scholar
  • Berry van den Berg, Ruth M. Krebs, Monicque M. Lorist, and Marty G. Woldorff, “Utilization of reward-prospect enhances preparatory attention and reduces stimulus conflict,” Cognitive, Affective, & Behavioral Neuroscience, 2014. View at Publisher · View at Google Scholar
  • Ninja K. Horr, Christoph Braun, and Kirsten G. Volz, “Feeling before knowing why: The role of the orbitofrontal cortex in intuitive judgments—an MEG study,” Cognitive, Affective, & Behavioral Neuroscience, 2014. View at Publisher · View at Google Scholar
  • Anahita Goljahani, Costanza D’Avanzo, Stefano Silvoni, Paolo Tonin, Francesco Piccione, and Giovanni Sparacino, “Preprocessing by a Bayesian Single-Trial Event-Related Potential Estimation Technique Allows Feasibility of an Assistive Single-Channel P300-Based Brain-Computer Interface,” Computational and Mathematical Methods in Medicine, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • Giovanni Vecchiato, Anton Giulio Maglione, Patrizia Cherubino, Barbara Wasikowska, Agata Wawrzyniak, Anna Latuszynska, Malgorzata Latuszynska, Kesra Nermend, Ilenia Graziani, Maria Rita Leucci, Arianna Trettel, and Fabio Babiloni, “Neurophysiological Tools to Investigate Consumer’s Gender Differences during the Observation of TV Commercials,” Computational and Mathematical Methods in Medicine, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
  • Bai Li, “Research on WNN Modeling for Gold Price Forecasting Based on Improved Artificial Bee Colony Algorithm,” Computational Intelligence and Neuroscience, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Sumeyye Korkmaz, Dilek Betul Arslan, Evrim Gungor, and Musa H. Asyali, “Like/dislike analysis using EEG: Determination of most discriminative chann els and frequencies,” Computer Methods and Programs in Biomedicine, vol. 113, no. 2, pp. 705–713, 2014. View at Publisher · View at Google Scholar
  • Siuly, Yan Li, and Peng (Paul) Wen, “Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain computer interface,” Computer Methods and Programs in Biomedicine, 2014. View at Publisher · View at Google Scholar
  • Yan Li, and Peng (Paul) Wen, “Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface,” Computer Methods and Programs in Biomedicine, vol. 113, no. 3, pp. 767–780, 2014. View at Publisher · View at Google Scholar
  • Hyatt E. Moore, and Emmanuel Mignot, “SEV – a software toolbox for large scale analysis and visualization of polysomnography data,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, pp. 1–13, 2014. View at Publisher · View at Google Scholar
  • Anastasia Pavlidou, Alfons Schnitzler, and Joachim Lange, “Distinct spatio-temporal profiles of beta-oscillations within visual and sensorimotor areas during action recognition as revealed by MEG,” Cortex, 2014. View at Publisher · View at Google Scholar
  • Julius Huebl, Bernhard Spitzer, Christof Brücke, Thomas Schönecker, Andreas Kupsch, François Alesch, Gerd-Helge Schneider, and Andrea A. Kühn, “Oscillatory subthalamic nucleus activity is modulated by dopamine during emotional processing in Parkinson's disease,” Cortex, 2014. View at Publisher · View at Google Scholar
  • Kathrin Müsch, Carlos M. Hamamé, Marcela Perrone-Bertolotti, Lorella Minotti, Philippe Kahane, Andreas K. Engel, Jean-Philippe Lachaux, and Till R. Schneider, “Selective attention modulates high-frequency activity in the face-processing network,” Cortex, 2014. View at Publisher · View at Google Scholar
  • Robert T. Thibault, Michael Lifshitz, Jennifer M. Jones, and Amir Raz, “Posture alters human resting-state,” Cortex, 2014. View at Publisher · View at Google Scholar
  • Jennifer L. Collinger, Michael A. Kryger, Richard Barbara, Timothy Betler, Kristen Bowsher, Elke H. P. Brown, Samuel T. Clanton, Alan D. Degenhart, Stephen T. Foldes, Robert A. Gaunt, Ferenc E. Gyulai, Elizabeth A. Harchick, Deborah Harrington, John B. Helder, Timothy Hemmes, Matthew S. Johannes, Kapil D. Katyal, Geoffrey S. F. Ling, Angus J. C. McMorland, Karina Palko, Matthew P. Para, Janet Scheuermann, Andrew B. Schwartz, Elizabeth R. Skidmore, Florian Solzbacher, Anita V. Srikameswaran, Dennis P. Swanson, Scott Swetz, Elizabeth C. Tyler-Kabara, Meel Velliste, Wei Wang, Douglas J. Weber, and Brian Wodlinger, “Sample Size Verification for Clinical Trials,” Cts-Clinical and Translational Science, vol. 7, no. 1, pp. 52–59, 2014. View at Publisher · View at Google Scholar
  • Mark Klein, Catholijn M. Jonker, and Reyhan Aydogan, “From problems to protocols: Towards a negotiation handbook,” Decision Support Systems, vol. 60, pp. 39–54, 2014. View at Publisher · View at Google Scholar
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  • Atsushi Saito, Akimasa Takeuchi, Yuzo Takayama, Kiyoshi Kotani, and Yasuhiko Jimbo, “Neural Transplantation Model Using Integration Co-Culture Chamber,” Electronics and Communications in Japan, vol. 97, no. 2, pp. 36–43, 2014. View at Publisher · View at Google Scholar
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  • Chany Lee, Sung-Min Kim, Young-Jin Jung, Chang-Hwan Im, and Dong Wook Kim, “Causal influence of epileptic network during spike-and-wave discharge in ju venile myoclonic epilepsy,” Epilepsy Research, vol. 108, no. 2, pp. 257–266, 2014. View at Publisher · View at Google Scholar
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  • Gerald Schuller, and Christian Dittmar, “Pitch-informed solo and accompaniment separation towards its use in music e ducation applications,” Eurasip Journal on Advances in Signal Processing, 2014. View at Publisher · View at Google Scholar
  • Axel Roebel, “On the use of a spatial cue as prior information for stereo sound source se paration based on spatially weighted non-negative tensor factorization,” Eurasip Journal on Advances in Signal Processing, 2014. View at Publisher · View at Google Scholar
  • Emilie Meaux, Nadia Hernandez, Isabelle Carteau-Martin, Joëlle Martineau, Catherine Barthélémy, Frédérique Bonnet-Brilhault, and Magali Batty, “Event-related potential and eye tracking evidence of the developmental dynamics of face processing,” European Journal of Neuroscience, 2014. View at Publisher · View at Google Scholar
  • Hans-Peter Frey, Anita M. Schmid, Jeremy W. Murphy, Sophie Molholm, Edmund C. Lalor, and John J. Foxe, “Modulation of early cortical processing during divided attention to non-contiguous locations,” European Journal of Neuroscience, 2014. View at Publisher · View at Google Scholar
  • Anouk van der Hoorn, Adriaan R. E. Potgieser, and Bauke M. de Jong, “Transcallosal connection patterns of opposite dorsal premotor regions support a lateralized specialization for action and perception,” European Journal of Neuroscience, 2014. View at Publisher · View at Google Scholar
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  • Claudia Wach, Martin Suedmeyer, Stefano Ferrea, Alfons Schnitzler, and Bettina Pollok, “Cortico-muscular coupling and motor performance are modulated by 20 Hz tran scranial alternating current stimulation (tACS) in Parkinson's disease,” Frontiers in Human Neuroscience, vol. 7, 2014. View at Publisher · View at Google Scholar
  • Iman Mohammad-Rezazadeh, and Rex L. Cannon, “Using quantitative and analytic EEG methods in the understanding of connect ivity in autism spectrum disorders: a theory of mixed over- and under-conne ctivity,” Frontiers in Human Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Hongbin Wang, “Insight into others' minds: spatio-temporal representations by intrinsic fr ame of reference,” Frontiers in Human Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Steven M. Stufflebeam, “Clinical application of spatiotemporal distributed source analysis in presu rgical evaluation of epilepsy,” Frontiers in Human Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Petra Fischer, Anna L. Gert, Lilli Kaufhold, Felix Weber, Gordon Pipa, and Peter Koenig, “Kinesthetic and vestibular information modulate alpha activity during spati al navigation: a mobile EEG study,” Frontiers in Human Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Diego de Leon Rodriguez, Marina Laganaro, Rene Mueri, Lucas Spierer, and Jean-Marie Annoni, “Language context modulates reading route: an electrical neuroimaging study,” Frontiers in Human Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Douglas N. Paulson, Eugene Hirschkoff, Kevin Pratt, Anthony Mascarenas, Paul Miller, Mengali Han, Jason Caffrey, Chuck Kincade, Bill Power, Rebecca Murray, Vivian Chow, Charlie Fisk, Matthew Ku, Darina Chudnovskaya, John Dell, Rachel Golembski, Peter Lam, Lisa Blaskey, Emily Kuschner, Luke Bloy, William Gaetz, and J. Christopher Edgar, “Artemis 123: development of a whole-head infant and young child MEG system,” Frontiers in Human Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Alejandro Ojeda, Nima Bigdely-Shamlo, and Scott Makeig, “MoBILAB: an open source toolbox for analysis and visualization of mobile brain/body imaging data,” Frontiers in Human Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Felix Hebenstreit, Florian Gabsteiger, Vinzenz von Tscharner, and Matthias Lochmann, “Methodological aspects of EEG and body dynamics measurements during motion,” Frontiers in Human Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Markus Muehlhan, Michael Marxen, Julia Landsiedel, Hagen Malberg, and Sebastian Zaunseder, “The effect of body posture on cognitive performance: a question of sleep quality,” Frontiers in Human Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Adam Gazzaley, “Harnessing the neuroplastic potential of the human brain & the future of co gnitive rehabilitation,” Frontiers in Human Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Sheraz Khan, Julien Lefèvre, Sylvain Baillet, Konstantinos P. Michmizos, Santosh Ganesan, Manfred G. Kitzbichler, Manuel Zetino, Matti S. Hämäläinen, Christos Papadelis, and Tal Kenet, “Encoding Cortical Dynamics in Sparse Features,” Frontiers in Human Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Abigail Noyce, and Robert Sekuler, “Violations of newly-learned predictions elicit two distinct P3 components,” Frontiers in Human Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Li Zhang, John Q. Gan, and Haixian Wang, “Optimized Gamma Synchronization Enhances Functional Binding of Fronto-Parietal Cortices in Mathematically Gifted Adolescents during Deductive Reasoning,” Frontiers in Human Neuroscience, vol. 8, 2014. View at Publisher · View at Google Scholar
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