About this Journal Submit a Manuscript Table of Contents

Citations to this Journal [2,653 citations: 1–100 of 2,315 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 2,653 times. The following is a list of the 2,315 articles that have cited the articles published in Computational Intelligence and Neuroscience.

  • Hugo F. Posada-Quintero, Bersaín A. Reyes, Ken Burnham, John Pennace, and Ki H. Chon, “Low Impedance Carbon Adhesive Electrodes with Long Shelf Life,” Annals of Biomedical Engineering, 2015. View at Publisher · View at Google Scholar
  • Jérémie Mattout, Margaux Perrin, Olivier Bertrand, and Emmanuel Maby, “Improving BCI performance through co-adaptation: Applications to the P300-speller,” Annals of Physical and Rehabilitation Medicine, 2015. View at Publisher · View at Google Scholar
  • Kambez H. Benam, Stephanie Dauth, Bryan Hassell, Anna Herland, Abhishek Jain, Kyung-Jin Jang, Katia Karalis, Hyun Jung Kim, Luke MacQueen, Roza Mahmoodian, Samira Musah, Yu-suke Torisawa, Andries D. van der Meer, Remi Villenave, Moran Yadid, Kevin K. Parker, and Donald E. Ingber, “Engineered In Vitro Disease Models,” Annual Review of Pathology: Mechanisms of Disease, vol. 10, no. 1, pp. 195–262, 2015. View at Publisher · View at Google Scholar
  • Muhammad Asif Zahoor Raja, Junaid Ali Khan, A.M. Siddiqui, D. Behloul, T. Haroon, and Raza Samar, “Exactly satisfying initial conditions neural network models for numerical treatment of first Painlevé equation,” Applied Soft Computing, vol. 26, pp. 244–256, 2015. View at Publisher · View at Google Scholar
  • Jing Chen, Bin Hu, Philip Moore, Xiaowei Zhang, and Xu Ma, “Electroencephalogram-Based Emotion Assessment System Using Ontology and Data Mining Techniques,” Applied Soft Computing, 2015. View at Publisher · View at Google Scholar
  • Pablo Billeke, Alejandra Armijo, Daniel Castillo, Tamara Lopez, Francisco Zamorano, Diego Cosmelli, and Francisco Aboitiz, “Paradoxical expectation: Oscillatory brain activity reveals social interaction impairment in schizophrenia,” Biological Psychiatry, 2015. View at Publisher · View at Google Scholar
  • Vladimir Miskovic, Jasna Martinovic, Matthias M. Wieser, Nathan M. Petro, Margaret M. Bradley, and Andreas Keil, “Electrocortical amplification for emotionally arousing natural scenes: The contribution of luminance and chromatic visual channels,” Biological Psychology, 2015. View at Publisher · View at Google Scholar
  • N.W. Bailey, K.E. Hoy, J.J. Maller, D.J. Upton, R.A. Segrave, B.M. Fitzgibbon, and P.B. Fitzgerald, “Neural evidence that conscious awareness of errors is reduced in depression following a traumatic brain injury,” Biological Psychology, 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
  • D. Weiss, R. Klotz, R. B. Govindan, M. Scholten, G. Naros, A. Ramos-Murguialday, F. Bunjes, C. Meisner, C. Plewnia, R. Kruger, and A. Gharabaghi, “Subthalamic stimulation modulates cortical motor network activity and synchronization in Parkinson's disease,” Brain, 2015. View at Publisher · View at Google Scholar
  • Misako Shinshi, Takufumi Yanagisawa, Masayuki Hirata, Tetsu Goto, Hisato Sugata, Toshihiko Araki, Yumiko Okamura, Yuka Hasegawa, Aya S. Ihara, and Shiro Yorifuji, “Temporospatial identification of language-related cortical function by a combination of transcranial magnetic stimulation and magnetoencephalography,” Brain and Behavior, 2015. View at Publisher · View at Google Scholar
  • Mehrnaz Khodam Hazrati, Vladimir Miskovic, José C. Príncipe, and Andreas Keil, “Functional connectivity in frequency tagged cortical networks during active harm avoidance,” Brain Connectivity, pp. 150127063122009, 2015. View at Publisher · View at Google Scholar
  • Annie C. Gilbert, Victor J. Boucher, and Boutheina Jemel, “The perceptual chunking of speech: A demonstration using ERPs,” Brain Research, 2015. View at Publisher · View at Google Scholar
  • Motohiro Kimura, and Yuji Takeda, “Automatic prediction regarding the next state of a visual object: Electrophysiological indicators of prediction match and mismatch,” Brain Research, 2015. View at Publisher · View at Google Scholar
  • Georgia G Gregoriou, Sofia Paneri, and Panagiotis Sapountzis, “Oscillatory synchrony as a mechanism of attentional processing,” Brain Research, 2015. View at Publisher · View at Google Scholar
  • Christopher C Beekharry, Guan Z Zhu, and Neil S Magoski, “Role for electrical synapses in shaping the output of coupled peptidergic neurons from Lymnaea,” Brain Research, 2015. View at Publisher · View at Google Scholar
  • L.J. Bour, M.A.J. Lourens, R. Verhagen, R.M.A. de Bie, P. van den Munckhof, P.R. Schuurman, and M.F. Contarino, “Directional recording of subthalamic spectral power densities in Parkinson’s disease and the effect of steering deep brain stimulation,” Brain Stimulation, 2015. View at Publisher · View at Google Scholar
  • Christine Carl, Joerg F. Hipp, Peter König, and Andreas K. Engel, “Spectral Signatures of Saccade Target Selection,” Brain Topography, 2015. View at Publisher · View at Google Scholar
  • Ling-Chia Chen, Pascale Sandmann, Jeremy D. Thorne, Christoph S. Herrmann, and Stefan Debener, “Association of Concurrent fNIRS and EEG Signatures in Response to Auditory and Visual Stimuli,” Brain Topography, 2015. View at Publisher · View at Google Scholar
  • F. M. Stoll, C. R. E. Wilson, M. C. M. Faraut, J. Vezoli, K. Knoblauch, and E. Procyk, “The Effects of Cognitive Control and Time on Frontal Beta Oscillations,” Cerebral Cortex, 2015. View at Publisher · View at Google Scholar
  • J. Jenkins, V. Chow, L. Blaskey, E. Kuschner, S. Qasmieh, L. Gaetz, J. C. Edgar, P. Mukherjee, R. Buckner, S. S. Nagarajan, W. K. Chung, J. E. Spiro, E. H. Sherr, J. I. Berman, and T. P. L. Roberts, “Auditory Evoked M100 Response Latency is Delayed in Children with 16p11.2 Deletion but not 16p11.2 Duplication,” Cerebral Cortex, 2015. View at Publisher · View at Google Scholar
  • Lynn M. McCane, Susan M. Heckman, Dennis J. McFarland, George Townsend, Joseph N. Mak, Eric W. Sellers, Debra Zeitlin, Laura M. Tenteromano, Jonathan R. Wolpaw, and Theresa M. Vaughan, “P300-based Brain-Computer Interface (BCI) Event-Related Potentials (ERPs): People with Amyotrophic Lateral Sclerosis (ALS) vs. Age-Matched Controls,” Clinical Neurophysiology, 2015. View at Publisher · View at Google Scholar
  • A. Vuckovic, M.A. Hasan, B. Osuagwu, M. Fraser, D.B. Allan, B.A. Conway, and B. Nasseroleslami, “The Influence of Central Neuropathic Pain in Paraplegic Patients on Performance of a Motor Imagery Based Brain Computer Interface,” Clinical Neurophysiology, 2015. View at Publisher · View at Google Scholar
  • Zhehuang Huang, and Yidong Chen, “Log-Linear Model Based Behavior Selection Method for Artificial Fish Swarm Algorithm,” Computational Intelligence and Neuroscience, vol. 2015, pp. 1–10, 2015. View at Publisher · View at Google Scholar
  • Shuangshuang Xiao, Kemin Li, Xiaohua Ding, and Tong Liu, “Numerical Computation of Homogeneous Slope Stability,” Computational Intelligence and Neuroscience, vol. 2015, pp. 1–10, 2015. View at Publisher · View at Google Scholar
  • Johanna M. Rimmele, Elana Zion Golumbic, Erich Schröger, and David Poeppel, “The effects of selective attention and speech acoustics on neural speech-tracking in a multi-talker scene,” Cortex, 2015. View at Publisher · View at Google Scholar
  • Supratim Ray, “Challenges in the quantification and interpretation of spike-LFP relationships,” Current Opinion in Neurobiology, vol. 31, pp. 111–118, 2015. View at Publisher · View at Google Scholar
  • Ceon Ramon, and Mark D Holmes, “Spatiotemporal phase clusters and phase synchronization patterns derived from high density EEG and ECoG recordings,” Current Opinion in Neurobiology, vol. 31, pp. 127–132, 2015. View at Publisher · View at Google Scholar
  • Boualem Boashash, Nabeel Ali Khan, and Taoufik Ben-Jabeur, “Time-frequency features for pattern recognition using high-resolution TFDs: a tutorial review,” Digital Signal Processing, 2015. View at Publisher · View at Google Scholar
  • Gizely N. Andrade, John S. Butler, Manuel R. Mercier, Sophie Molholm, and John J. Foxe, “Spatio-temporal dynamics of adaptation in the human visual system: a high-density electrical mapping study,” European Journal of Neuroscience, 2015. View at Publisher · View at Google Scholar
  • Fosco Bernasconi, Michael Kometer, Thomas Pokorny, Erich Seifritz, and Franz X. Vollenweider, “The electrophysiological effects of the serotonin 1A receptor agonist buspirone in emotional face processing,” European Neuropsychopharmacology, 2015. View at Publisher · View at Google Scholar
  • María Ruz, Clara Aranda, Beatriz R. Sarmiento, and Daniel Sanabria, “Attention to individual identities modulates face processing,” Experimental Brain Research, 2015. View at Publisher · View at Google Scholar
  • S. Floor Campfens, Sarah B. Zandvliet, Carel G. M. Meskers, Alfred C. Schouten, Michel J. A. M. van Putten, and Herman van der Kooij, “Poor motor function is associated with reduced sensory processing after stroke,” Experimental Brain Research, 2015. View at Publisher · View at Google Scholar
  • Tianwei Shi, Hong Wang, and Chi Zhang, “Brain Computer Interface System based on Indoor Semi-autonomous Navigation and Motor Imagery for Unmanned Aerial Vehicle Control,” Expert Systems with Applications, 2015. View at Publisher · View at Google Scholar
  • Robert Bauer, and Alireza Gharabaghi, “Estimating cognitive load during self-regulation of brain activity and neurofeedback with therapeutic brain-computer interfaces,” Frontiers in Behavioral Neuroscience, vol. 9, 2015. View at Publisher · View at Google Scholar
  • Jacopo Lamanna, Maria G. Signorini, Sergio Cerutti, and Antonio Malgaroli, “A pre-docking source for the power-law behavior of spontaneous quantal release: application to the analysis of LTP,” Frontiers in Cellular Neuroscience, vol. 9, 2015. View at Publisher · View at Google Scholar
  • Hans C. Breiter, Martin Block, Anne J. Blood, Bobby Calder, Laura Chamberlain, Nick Lee, Sherri Livengood, Frank J. Mulhern, Kalyan Raman, Don Schultz, Daniel B. Stern, Vijay Viswanathan, and Fengqing (Zoe) Zhang, “Redefining neuromarketing as an integrated science of influence,” Frontiers in Human Neuroscience, vol. 8, 2015. View at Publisher · View at Google Scholar
  • Philippe Albouy, Jérémie Mattout, Gaëtan Sanchez, Barbara Tillmann, and Anne Caclin, “Altered retrieval of melodic information in congenital amusia: insights from dynamic causal modeling of MEG data,” Frontiers in Human Neuroscience, vol. 9, 2015. View at Publisher · View at Google Scholar
  • Christian O'Reilly, Jonathan Godbout, Julie Carrier, and Jean-Marc Lina, “Combining time-frequency and spatial information for the detection of sleep spindles,” Frontiers in Human Neuroscience, vol. 9, 2015. View at Publisher · View at Google Scholar
  • Balázs Knakker, Béla Weiss, and Zoltán Vidnyánszky, “Object-based attentional selection modulates anticipatory alpha oscillations,” Frontiers in Human Neuroscience, vol. 8, 2015. View at Publisher · View at Google Scholar
  • Virginie van Wassenhove, and Lukasz Grzeczkowski, “Visual-induced expectations modulate auditory cortical responses,” Frontiers in Neuroscience, vol. 9, 2015. View at Publisher · View at Google Scholar
  • Vitória Piai, Stéphanie K. Riès, and Robert T. Knight, “The electrophysiology of language production: what could be improved,” Frontiers in Psychology, vol. 5, 2015. View at Publisher · View at Google Scholar
  • Eline B. Petersen, Malte Wöstmann, Jonas Obleser, Stefan Stenfelt, and Thomas Lunner, “Hearing loss impacts neural alpha oscillations under adverse listening conditions,” Frontiers in Psychology, vol. 6, 2015. View at Publisher · View at Google Scholar
  • Laura Prieto del Val, Jose L. Cantero, and Mercedes Atienza, “APOE ɛ4 constrains engagement of encoding-related compensatory networks in amnestic mild cognitive impairment,” Hippocampus, 2015. View at Publisher · View at Google Scholar
  • Morten Joensson, Kristine Rømer Thomsen, Lau M. Andersen, Joachim Gross, Kim Mouridsen, Kristian Sandberg, Leif Østergaard, and Hans C. Lou, “Making sense: Dopamine activates conscious self-monitoring through medial prefrontal cortex,” Human Brain Mapping, 2015. View at Publisher · View at Google Scholar
  • Wei He, Marta I. Garrido, Paul F. Sowman, Jon Brock, and Blake W. Johnson, “Development of effective connectivity in the core network for face perception,” Human Brain Mapping, 2015. View at Publisher · View at Google Scholar
  • Matt Higger, Murat Akcakaya, Hooman Nezamfar, Gerald LaMountain, Umut Orhan, and Deniz Erdogmus, “A Bayesian Framework for Intent Detection and Stimulation Selection in SSVEP BCIs,” Ieee Signal Processing Letters, vol. 22, no. 6, pp. 743–747, 2015. View at Publisher · View at Google Scholar
  • N. Del Buono, and G. Pio, “Non-negative matrix tri-factorization for co-clustering: An analysis of the block matrix,” Information Sciences, 2015. View at Publisher · View at Google Scholar
  • Yueqing Li, Woo Ram Jeon, and Chang S. Nam, “Navigation by vibration: Effects of vibrotactile feedback on a navigation task,” International Journal of Industrial Ergonomics, 2015. View at Publisher · View at Google Scholar
  • Majdi Mafarja, and Salwani Abdullah, “A fuzzy record-to-record travel algorithm for solving rough set attribute reduction,” International Journal of Systems Science, vol. 46, no. 3, pp. 503–512, 2015. View at Publisher · View at Google Scholar
  • Pablo Cuesta, Ana Barabash, Sara Aurtenetxe, Pilar Garces, Maria Eugenia Lopez, Ricardo Bajo, Marcos Llanero-Luque, Ines Ancin, Jose Antonio Cabranes, Alberto Marcos, Miguel Sancho, Akinori Nakamura, Fernando Maestu, and Alberto Fernandez, “Source Analysis of Spontaneous Magnetoencephalograpic Activity in Healthy Aging and Mild Cognitive Impairment: Influence of Apolipoprotein E Polymorphism,” Journal of Alzheimers Disease, vol. 43, no. 1, pp. 259–273, 2015. View at Publisher · View at Google Scholar
  • Aurélie Bouzerda-Wahlen, Louis Nahum, Maria Chiara Liverani, Adrian G. Guggisberg, and Armin Schnider, “An Electrophysiological Dissociation between Orbitofrontal Reality Filtering and Context Source Monitoring,” Journal of Cognitive Neuroscience, vol. 27, no. 1, pp. 164–174, 2015. View at Publisher · View at Google Scholar
  • Xing Tian, and David Poeppel, “Dynamics of Self-monitoring and Error Detection in Speech Production: Evidence from Mental Imagery and MEG,” Journal of Cognitive Neuroscience, vol. 27, no. 2, pp. 352–364, 2015. View at Publisher · View at Google Scholar
  • Zaifeng Gao, Shlomo Bentin, and Mowei Shen, “Rehearsing Biological Motion in Working Memory: An EEG Study,” Journal of Cognitive Neuroscience, vol. 27, no. 1, pp. 198–209, 2015. View at Publisher · View at Google Scholar
  • Jaime F Delgado Saa, Adriana de Pesters, Dennis McFarland, and Müjdat Çetin, “Word-level language modeling for P300 spellers based on discriminative graphical models,” Journal of Neural Engineering, vol. 12, no. 2, pp. 026007, 2015. View at Publisher · View at Google Scholar
  • Sarah Vanhoutte, Gregor Strobbe, Pieter van Mierlo, Marjan Cosyns, Katja Batens, Paul Corthals, Miet De Letter, John Van Borsel, and Patrick Santens, “Early lexico-semantic modulation of motor related areas during action and non-action verb processing,” Journal of Neurolinguistics, vol. 34, pp. 65–82, 2015. View at Publisher · View at Google Scholar
  • B. Colombet, M. Woodman, C.G. Bénar, and J.M. Badier, “AnyWave: a cross-platform and modular software for visualizing and processing electrophysiological signals,” Journal of Neuroscience Methods, 2015. View at Publisher · View at Google Scholar
  • Jian Chai, Jiangze Du, Kin Keung Lai, and Yan Pui Lee, “A Hybrid Least Square Support Vector Machine Model with Parameters Optimization for Stock Forecasting,” Mathematical Problems in Engineering, vol. 2015, pp. 1–7, 2015. View at Publisher · View at Google Scholar
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Meng Sun, Xiongwei Zhang, and Hugo Van hamme, “A Stable Approach for Model Order Selection in Nonnegative Matrix Factorization,” Pattern Recognition Letters, 2015. View at Publisher · View at Google Scholar
  • Lin Wang, Rinus G. Verdonschot, and Yufang Yang, “The processing difference between person names and common nouns in sentence contexts: an ERP study,” Psychological Research, 2015. View at Publisher · View at Google Scholar
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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