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Citations to this Journal [2,587 citations: 101–200 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.

  • 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
  • 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
  • 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
  • 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
  • Peter Garside, Joseph Arizpe, Chi-Ieong Lau, Crystal Goh, and Vincent Walsh, “Cross-hemispheric Alternating Current Stimulation During a Nap Disrupts Slow Wave Activity and Associated Memory Consolidation,” 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
  • 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
  • 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
  • Jean-Michel Badier, Fabrice Bartolomei, Patrick Chauvel, Christian-George Bénar, and Martine Gavaret, “Magnetic Source Imaging in Posterior Cortex Epilepsies,” Brain Topography, vol. 28, no. 1, pp. 162–171, 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Jane E. Huggins, Christoph Guger, Brendan Allison, Charles W. Anderson, Aaron Batista, Anne-Marie Brouwer, Clemens Brunner, Ricardo Chavarriaga, Melanie Fried-Oken, Aysegul Gunduz, Disha Gupta, Andrea Kübler, Robert Leeb, Fabien Lotte, Lee E. Miller, Gernot Müller-Putz, Tomasz Rutkowski, Michael Tangermann, and David Edward Thompson, “Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future,” Brain-Computer Interfaces, vol. 1, no. 1, pp. 27–49, 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
  • P. Perego, A.C. Turconi, G. Andreoni, and C. Gagliardi, “Cognitive ability assessment by brain-computer interface II: application of a BCI-based assessment method for cognitive abilities,” Brain-Computer Interfaces, pp. 1–11, 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • H. Burianova, P. F. Sowman, L. Marstaller, A. N. Rich, M. A. Williams, G. Savage, S. Al-Janabi, P. de Lissa, and B. W. Johnson, “Adaptive Motor Imagery: A Multimodal Study of Immobilization-Induced Brain Plasticity,” Cerebral Cortex, 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
  • D. E. Astle, H. Luckhoo, M. Woolrich, B.-C. Kuo, A. C. Nobre, and G. Scerif, “The Neural Dynamics of Fronto-Parietal Networks in Childhood Revealed using Magnetoencephalography,” 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
  • 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
  • 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
  • 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
  • Seung-Hyun Jin, Woorim Jeong, and Chun Kee Chung, “Focal cortical dysplasia alters electrophysiological cortical hubs in the resting-state,” Clinical Neurophysiology, 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
  • 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. Stein, A. Engell, M. Junghoefer, R. Wunderlich, P. Lau, A. Wollbrink, C. Rudack, and C. Pantev, “Inhibition-induced Plasticity in Tinnitus Patients after Repetitive Exposure to Tailor-Made Notched Music,” Clinical Neurophysiology, 2014. View at Publisher · View at Google Scholar
  • Dan Foti, Anna Weinberg, Edward M. Bernat, and Greg H. Proudfit, “Anterior cingulate activity to monetary loss and basal ganglia activity to monetary gain uniquely contribute to the feedback negativity,” 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
  • 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
  • Mauro Marchetti, and Konstantinos Priftis, “Brain-computer interfaces in amyotrophic lateral sclerosis: A metanalysis,” Clinical Neurophysiology, 2014. View at Publisher · View at Google Scholar
  • B. Krishnan, I. Vlachos, Zi. Wang, J. Mosher, I. Najm, R. Burgess, L. Iasemidis, and Av. Alexopoulos, “Epileptic focus localization based onresting stateinterictal MEG recordings is feasible irrespective of the presence or absence of spikes,” Clinical Neurophysiology, 2014. View at Publisher · View at Google Scholar
  • Clare Reynolds, Bethel A. Osuagwu, and Aleksandra Vuckovic, “Influence of Motor Imagination on Cortical Activation During Functional Electrical Stimulation,” Clinical Neurophysiology, 2014. View at Publisher · View at Google Scholar
  • Takeshi Sakurada, Toshihiro Kawase, Tomoaki Komatsu, and Kenji Kansaku, “Use of high-frequency visual stimuli above the critical flicker frequency in a SSVEP-based BMI,” 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
  • 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
  • Anais Mottaz, Marco Solcà, Cécile Magnin, Tiffany Corbet, Armin Schnider, and Adrian G. Guggisberg, “Neurofeedback training of alpha-band coherence enhances motor performance,” 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
  • Giovanni Vecchiato, Patrizia Cherubino, Anton Giulio Maglione, Maria Trinidad Herrera Ezquierro, Franco Marinozzi, Fabiano Bini, Arianna Trettel, and Fabio Babiloni, “How to Measure Cerebral Correlates of Emotions in Marketing Relevant Tasks,” Cognitive Computation, 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
  • 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
  • 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
  • Mohsen Mohammadi, Akbar Danandeh, Hossein Nasir Aghdam, and Nasser Ojaroudi, “Wavelet neural network based on islanding detection via inverter-based DG,” Complexity, 2014. View at Publisher · View at Google Scholar
  • Giovanni Vecchiato, Jlenia Toppi, Anton Giulio Maglione, Elzbieta Olejarczyk, Laura Astolfi, Donatella Mattia, Alfredo Colosimo, and Fabio Babiloni, “Neuroelectrical Correlates of Trustworthiness and Dominance Judgments Related to the Observation of Political Candidates,” Computational and Mathematical Methods in Medicine, vol. 2014, pp. 1–19, 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
  • Anton Giulio Maglione, Giovanni Vecchiato, Carlo Antonio Leone, Rosa Grassia, Franco Mosca, Alfredo Colosimo, Paolo Malerba, and Fabio Babiloni, “Different Perception of Musical Stimuli in Patients with Monolateral and Bilateral Cochlear Implants,” Computational and Mathematical Methods in Medicine, vol. 2014, pp. 1–7, 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
  • Yanhong Feng, Gai-Ge Wang, Qingjiang Feng, and Xiang-Jun Zhao, “An Effective Hybrid Cuckoo Search Algorithm with Improved Shuffled Frog Leaping Algorithm for 0-1 Knapsack Problems,” Computational Intelligence and Neuroscience, vol. 2014, pp. 1–17, 2014. View at Publisher · View at Google Scholar
  • Tinggui Chen, and Renbin Xiao, “Modeling Design Iteration in Product Design and Development and Its Solution by a Novel Artificial Bee Colony Algorithm,” Computational Intelligence and Neuroscience, vol. 2014, pp. 1–13, 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
  • Siuly 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, vol. 113, no. 3, pp. 767–780, 2014. View at Publisher · View at Google Scholar
  • Bulent Yilmaz, Sumeyye Korkmaz, Dilek Betul Arslan, Evrim Gungor, and Musa H. Asyali, “Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies,” Computer Methods and Programs in Biomedicine, vol. 113, no. 2, pp. 705–713, 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
  • C. Monserrat, M.J. Rupérez, M. Alcañiz, and J. Mataix, “Markerless monocular tracking system for guided external eye surgery,” Computerized Medical Imaging and Graphics, 2014. View at Publisher · View at Google Scholar
  • Pierre E. Chauvet, Sylvie Nguyen The Tich, Daniel Schang, and Alain Clément, “Evaluation of automatic feature detection algorithms in EEG: Application to interburst intervals,” Computers in Biology and Medicine, 2014. View at Publisher · View at Google Scholar
  • Saman Sargolzaei, Mercedes Cabrerizo, Mohammed Goryawala, Anas Salah Eddin, and Malek Adjouadi, “Scalp EEG Brain Functional Connectivity Networks in Pediatric Epilepsy,” Computers in Biology and Medicine, 2014. View at Publisher · View at Google Scholar
  • Alberto Seseña Rubfiaro, Juan Carlos Echeverría, and Jose Rafael Godinez, “Fractal-like Correlations of the Fluctuating inter-spike membrane potential of a Helix Aspersa pacemaker neuron,” Computers in Biology and Medicine, 2014. View at Publisher · View at Google Scholar
  • Jean-Arthur Micoulaud-Franchi, Clelia Quiles, Guillaume Fond, Michel Cermolacce, and Jean Vion-Dury, “The covariation of independent and dependant variables in neurofeedback: A proposal framework to identify cognitive processes and brain activity variables,” Consciousness and Cognition, vol. 26, pp. 162–168, 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
  • Sarah Jessen, and Tobias Grossmann, “Neural signatures of conscious and unconscious emotional face processing in human infants,” Cortex, 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
  • Nigel C. Rogasch, Zafiris J. Daskalakis, and Paul B. Fitzgerald, “Cortical inhibition of distinct mechanisms in the dorsolateral prefrontal cortex is related to working memory performance: A TMS-EEG study,” Cortex, 2014. View at Publisher · View at Google Scholar
  • Wataru Sato, Takanori Kochiyama, Shota Uono, Kazumi Matsuda, Keiko Usui, Yushi Inoue, and Motomi Toichi, “Rapid, high-frequency, and theta-coupled gamma oscillations in the inferior occipital gyrus during face processing,” Cortex, vol. 60, pp. 52–68, 2014. View at Publisher · View at Google Scholar
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  • 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
  • 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
  • Dr. Lars Wojtecki, David Petri, Saskia Elben, Jan Hirschmann, Jérôme Yelnik, Simon Eickhoff, Jan Vesper, and Alfons Schnitzler, “Modulation of central thalamic oscillations during emotional-cognitive processing in chronic disorder of consciousness,” 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
  • Diego Lozano-Soldevilla, Niels ter Huurne, Roshan Cools, and Ole Jensen, “GABAergic Modulation of Visual Gamma and Alpha Oscillations and Its Consequences for Working Memory Performance,” Current Biology, 2014. View at Publisher · View at Google Scholar
  • Thilo Womelsdorf, Salva Ardid, Stefan Everling, and Taufik A. Valiante, “Burst Firing Synchronizes Prefrontal and Anterior Cingulate Cortex during Attentional Control,” Current Biology, 2014. View at Publisher · View at Google Scholar
  • Anne-Dominique Gindrat, Magali Chytiris, Myriam Balerna, Eric M. Rouiller, and Arko Ghosh, “Use-Dependent Cortical Processing from Fingertips in Touchscreen Phone Users,” Current Biology, 2014. View at Publisher · View at Google Scholar
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  • Sarvnaz Taherian, Dmitry Selitskiy, James Pau, T. Claire Davies, and R. Glynn Owens, “Training to use a commercial brain-computer interface as access technology: a case study,” Disability and Rehabilitation: Assistive Technology, pp. 1–6, 2014. View at Publisher · View at Google Scholar
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