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Citations to this Journal [3,553 citations: 1–100 of 3,072 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 3,553 times. The following is a list of the 3,072 articles that have cited the articles published in Computational Intelligence and Neuroscience.

  • Yongquan Zhou, Xin Chen, and Guo Zhou, “An improved monkey algorithm for a 0-1 knapsack problem,” Applied Soft Computing, vol. 38, pp. 817–830, 2016. View at Publisher · View at Google Scholar
  • Zhongbo Hu, Qinghua Su, Xianshan Yang, and Zenggang Xiong, “Not guaranteeing convergence of differential evolution on a class of multimodal functions,” Applied Soft Computing, 2016. View at Publisher · View at Google Scholar
  • Kleovoulos Tsourides, Shahriar Shariat, Hossein Nejati, Tapan K. Gandhi, Annie Cardinaux, Christopher T. Simons, Ngai-Man Cheung, Vladimir Pavlovic, and Pawan Sinha, “Neural correlates of the food/non-food visual distinction,” Biological Psychology, 2016. View at Publisher · View at Google Scholar
  • Jijun Tong, Qinguang Lin, Ran Xiao, and Lei Ding, “Combining multiple features for error detection and its application in brain–computer interface,” BioMedical Engineering OnLine, vol. 15, no. 1, 2016. View at Publisher · View at Google Scholar
  • Yoritaka Akimoto, Takayuki Nozawa, Akitake Kanno, Toshimune Kambara, Mizuki Ihara, Takeshi Ogawa, Takakuni Goto, Yasuyuki Taki, Ryoichi Yokoyama, Yuka Kotozaki, Rui Nouchi, Atsushi Sekiguchi, Hikaru Takeuchi, Carlos Makoto Miyauchi, Motoaki Sugiura, Eiichi Okumura, Takashi Sunda, Toshiyuki Shimizu, Eiji Tozuka, Satoru Hirose, Tatsuyoshi Nanbu, and Ryuta Kawashima, “High-gamma power changes after cognitive intervention: preliminary results from twenty-one senior adult subjects,” Brain and Behavior, 2016. View at Publisher · View at Google Scholar
  • Chia-Hsiung Cheng, Yi-Jhan Tseng, Rou-Shayn Chen, and Yung-Yang Lin, “Reduced functional connectivity of somatosensory network in writer's cramp patients,” Brain and Behavior, 2016. View at Publisher · View at Google Scholar
  • M.W. Spratling, “A review of predictive coding algorithms,” Brain and Cognition, 2016. View at Publisher · View at Google Scholar
  • Cyrille Magne, Deanna K. Jordan, and Reyna L. Gordon, “Speech rhythm sensitivity and musical aptitude: ERPs and individual differences,” Brain and Language, vol. 153-154, pp. 13–19, 2016. View at Publisher · View at Google Scholar
  • Kaori Tamura, Takaaki Mizuba, and Keiji Iramina, “Hearing subject’s own name induces the late positive component of event-related potential and beta power suppression,” Brain Research, 2016. View at Publisher · View at Google Scholar
  • Chrysa Lithari, Carolina Sánchez-García, Philipp Ruhnau, and Nathan Weisz, “Large-scale network-level processes during entrainment,” Brain Research, 2016. View at Publisher · View at Google Scholar
  • Nicolás von Ellenrieder, Giovanni Pellegrino, Tanguy Hedrich, Jean Gotman, Jean-Marc Lina, Christophe Grova, and Eliane Kobayashi, “Detection and Magnetic Source Imaging of Fast Oscillations (40–160 Hz) Recorded with Magnetoencephalography in Focal Epilepsy Patients,” Brain Topography, 2016. View at Publisher · View at Google Scholar
  • Julien Bastin, Pierre Deman, Olivier David, Maëlle Gueguen, Damien Benis, Lorella Minotti, Dominique Hoffman, Etienne Combrisson, Jan Kujala, Marcela Perrone-Bertolotti, Philippe Kahane, Jean-Philippe Lachaux, and Karim Jerbi, “Direct Recordings from Human Anterior Insula Reveal its Leading Role within the Error-Monitoring Network,” Cerebral Cortex, pp. bhv352, 2016. View at Publisher · View at Google Scholar
  • H. Jiang, T. Popov, P. Jylänki, K. Bi, Z. Yao, Q. Lu, O. Jensen, and M.A.J. van Gerven, “Predictability of depression severity based on posterior alpha oscillations,” Clinical Neurophysiology, 2016. View at Publisher · View at Google Scholar
  • Bernadette C.M. van Wijk, Martijn Beudel, Ashwani Jha, Ashwini Oswal, Tom Foltynie, Marwan I. Hariz, Patricia Limousin, Ludvic Zrinzo, Tipu Z. Aziz, Alexander L. Green, Peter Brown, and Vladimir Litvak, “Subthalamic nucleus phase-amplitude coupling correlates with motor impairment in Parkinson’s disease,” Clinical Neurophysiology, 2016. View at Publisher · View at Google Scholar
  • Audrey Bürki, Jasmin Sadat, Anne-Sophie Dubarry, and F.-Xavier Alario, “Sequential processing during noun phrase production,” Cognition, vol. 146, pp. 90–99, 2016. View at Publisher · View at Google Scholar
  • Sylvain Madec, Kévin Le Goff, Stéphanie K. Riès, Thierry Legou, Guillaume Rousselet, Pierre Courrieu, F.-Xavier Alario, Jonathan Grainger, and Arnaud Rey, “The time course of visual influences in letter recognition,” Cognitive, Affective, & Behavioral Neuroscience, 2016. View at Publisher · View at Google Scholar
  • Mantas Landauskas, Zenonas Navickas, Alfonsas Vainoras, and Minvydas Ragulskis, “Weighted moving averaging revisited: an algebraic approach,” Computational and Applied Mathematics, 2016. View at Publisher · View at Google Scholar
  • Rahib H. Abiyev, and Sanan Abizade, “Diagnosing Parkinson’s Diseases Using Fuzzy Neural System,” Computational and Mathematical Methods in Medicine, vol. 2016, pp. 1–9, 2016. View at Publisher · View at Google Scholar
  • Nurettin Yorek, Ilker Ugulu, and Halil Aydin, “Using Self-Organizing Neural Network Map Combined with Ward’s Clustering Algorithm for Visualization of Students’ Cognitive Structural Models about Aliveness Concept,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–14, 2016. View at Publisher · View at Google Scholar
  • Jun Wang, Bihua Zhou, and Shudao Zhou, “An Improved Cuckoo Search Optimization Algorithm for the Problem of Chaotic Systems Parameter Estimation,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–8, 2016. View at Publisher · View at Google Scholar
  • Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, and Kyriakos Sgarbas, “Self-Trained LMT for Semisupervised Learning,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–13, 2016. View at Publisher · View at Google Scholar
  • Valentín Osuna-Enciso, Erik Cuevas, Diego Oliva, Virgilio Zúñiga, Marco Pérez-Cisneros, and Daniel Zaldívar, “A Multiobjective Approach to Homography Estimation,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–12, 2016. View at Publisher · View at Google Scholar
  • Panagiotis G. Asteris, Athanasios K. Tsaris, Liborio Cavaleri, Constantinos C. Repapis, Angeliki Papalou, Fabio Di Trapani, and Dimitrios F. Karypidis, “Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–12, 2016. View at Publisher · View at Google Scholar
  • Jinxing Lai, Junling Qiu, Zhihua Feng, Jianxun Chen, and Haobo Fan, “Prediction of Soil Deformation in Tunnelling Using Artificial Neural Networks,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–16, 2016. View at Publisher · View at Google Scholar
  • Mehmet Şimşir, Raif Bayır, and Yılmaz Uyaroğlu, “Real-Time Monitoring and Fault Diagnosis of a Low Power Hub Motor Using Feedforward Neural Network,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–13, 2016. View at Publisher · View at Google Scholar
  • Mauro Castelli, Leonardo Vanneschi, and Aleš Popovič, “Controlling Individuals Growth in Semantic Genetic Programming through Elitist Replacement,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–12, 2016. View at Publisher · View at Google Scholar
  • David Griol, and Zoraida Callejas, “A Neural Network Approach to Intention Modeling for User-Adapted Conversational Agents,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–11, 2016. View at Publisher · View at Google Scholar
  • Yu-Xian Zhang, Xiao-Yi Qian, Hui-Deng Peng, and Jian-Hui Wang, “An Allele Real-Coded Quantum Evolutionary Algorithm Based on Hybrid Updating Strategy,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–9, 2016. View at Publisher · View at Google Scholar
  • Chadd M. Funk, Sakiko Honjoh, Alexander V. Rodriguez, Chiara Cirelli, and Giulio Tononi, “Local Slow Waves in Superficial Layers of Primary Cortical Areas during REM Sleep,” Current Biology, 2016. View at Publisher · View at Google Scholar
  • Kefei Liu, João Paulo C.L. da Costa, Hing Cheung So, Lei Huang, and Jieping Ye, “Detection of number of components in CANDECOMP/PARAFAC models via minimum description length,” Digital Signal Processing, 2016. View at Publisher · View at Google Scholar
  • Maxwell D. Murphy, David J. Guggenmos, David T. Bundy, and Randolph J. Nudo, “Current Challenges Facing the Translation of Brain Computer Interfaces from Preclinical Trials to Use in Human Patients,” Frontiers in Cellular Neuroscience, vol. 9, 2016. View at Publisher · View at Google Scholar
  • Kirsten Petras, Sanne ten Oever, and Bernadette M. Jansma, “The Effect of Distance on Moral Engagement: Event Related Potentials and Alpha Power are Sensitive to Perspective in a Virtual Shooting Task,” Frontiers in Psychology, vol. 6, 2016. View at Publisher · View at Google Scholar
  • Andrea Valente, Svetlana Pinet, F.-Xavier Alario, and Marina Laganaro, ““When” Does Picture Naming Take Longer Than Word Reading?,” Frontiers in Psychology, vol. 7, 2016. View at Publisher · View at Google Scholar
  • André M. Bastos, and Jan-Mathijs Schoffelen, “A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls,” Frontiers in Systems Neuroscience, vol. 9, 2016. View at Publisher · View at Google Scholar
  • Martin Vinck, Jeroen J. Bos, Laura A. Van Mourik-Donga, Krista T. Oplaat, Gerbrand A. Klein, Jadin C. Jackson, Luc J. Gentet, and Cyriel M. A. Pennartz, “Cell-Type and State-Dependent Synchronization among Rodent Somatosensory, Visual, Perirhinal Cortex, and Hippocampus CA1,” Frontiers in Systems Neuroscience, vol. 9, 2016. View at Publisher · View at Google Scholar
  • Guillaume Auzias, Olivier Coulon, and Andrea Brovelli, “ MarsAtlas : A cortical parcellation atlas for functional mapping ,” Human Brain Mapping, 2016. View at Publisher · View at Google Scholar
  • Jen-Tzung Chien, and Po-Kai Yang, “Bayesian Factorization and Learning for Monaural Source Separation,” Ieee-Acm Transactions On Audio Speech And Language Processing, vol. 24, no. 1, pp. 185–195, 2016. View at Publisher · View at Google Scholar
  • Shuang Liang, Kup-Sze Choi, Jing Qin, Wai-Man Pang, and Pheng-Ann Heng, “Enhancing training performance for brain–computer interface with object-directed 3D visual guidance,” International Journal of Computer Assisted Radiology and Surgery, 2016. View at Publisher · View at Google Scholar
  • Monika Thomas, “Age-related differences of neural connectivity during mental rotation,” International Journal of Psychophysiology, vol. 101, pp. 33–42, 2016. View at Publisher · View at Google Scholar
  • Jan Herding, Bernhard Spitzer, and Felix Blankenburg, “Upper Beta Band Oscillations in Human Premotor Cortex Encode Subjective Choices in a Vibrotactile Comparison Task,” Journal of Cognitive Neuroscience, pp. 1–12, 2016. View at Publisher · View at Google Scholar
  • F. Pitolli, and C. Pocci, “Neuroelectric source localization by random spatial sampling,” Journal of Computational and Applied Mathematics, vol. 296, pp. 237–246, 2016. View at Publisher · View at Google Scholar
  • P. A. Karthick, G. Venugopal, and S. Ramakrishnan, “Analysis of Muscle Fatigue Progression using Cyclostationary Property of Surface Electromyography Signals,” Journal Of Medical Systems, vol. 40, no. 1, 2016. View at Publisher · View at Google Scholar
  • Filip Melinscak, Luis Montesano, and Javier Minguez, “Asynchronous detection of kinesthetic attention during mobilization of lower limbs using EEG measurements,” Journal of Neural Engineering, vol. 13, no. 1, pp. 016018, 2016. View at Publisher · View at Google Scholar
  • Hossein Bashashati, Rabab K Ward, and Ali Bashashati, “User-customized brain computer interfaces using Bayesian optimization,” Journal of Neural Engineering, vol. 13, no. 2, pp. 026001, 2016. View at Publisher · View at Google Scholar
  • Matthew D Best, Kazutaka Takahashi, Aaron J Suminski, Christian Ethier, Lee E Miller, and Nicholas G Hatsopoulos, “Comparing offline decoding performance in physiologically defined neuronal classes,” Journal of Neural Engineering, vol. 13, no. 2, pp. 026004, 2016. View at Publisher · View at Google Scholar
  • Rob Zink, Borbála Hunyadi, Sabine Van Huffel, and Maarten De Vos, “Tensor-based classification of an auditory mobile BCI without a subject-specific calibration phase,” Journal of Neural Engineering, vol. 13, no. 2, pp. 026005, 2016. View at Publisher · View at Google Scholar
  • Ashwini Oswal, Ashwani Jha, Spencer Neal, Alphonso Reid, David Bradbury, Peter Aston, Patricia Limousin, Tom Foltynie, Ludvic Zrinzo, Peter Brown, and Vladimir Litvak, “Analysis of simultaneous MEG and intracranial LFP recordings during Deep Brain Stimulation: a protocol and experimental validation,” Journal of Neuroscience Methods, vol. 261, pp. 29–46, 2016. View at Publisher · View at Google Scholar
  • Scott W. Linderman, Matthew J. Johnson, Matthew A. Wilson, and Zhe Chen, “A nonparametric Bayesian approach for uncovering rat hippocampal population codes during spatial navigation,” Journal of Neuroscience Methods, 2016. View at Publisher · View at Google Scholar
  • Nasrin Shafeghat, Morteza Heidarinejad, Noboru Murata, Hideki Nakamura, and Takafumi Inoue, “Optical detection of neuron connectivity by random access two-photon microscopy,” Journal of Neuroscience Methods, 2016. View at Publisher · View at Google Scholar
  • Chi Guo, Guangyi Cao, Jieru Zeng, Jinsong Cui, and Rong Peng, “Stopping Accidents before They Happen: Perceiving Lane-Level Moving Vehicle Danger Regions to Warn Surrounding Drivers and Pedestrians,” Journal of Sensors, vol. 2016, pp. 1–13, 2016. View at Publisher · View at Google Scholar
  • Zhehuang Huang, “Improved Quantum Particle Swarm Optimization for Mangroves Classification,” Journal of Sensors, vol. 2016, pp. 1–8, 2016. View at Publisher · View at Google Scholar
  • Panagiotis G. Asteris, and Vagelis Plevris, “Anisotropic masonry failure criterion using artificial neural networks,” Neural Computing and Applications, 2016. View at Publisher · View at Google Scholar
  • Junpeng Zhang, Yuan Cui, Lihua Deng, Ling He, Junran Zhang, Jing Zhang, Qun Zhou, Qi Liu, and Zhiguo Zhang, “Closely Spaced MEG Source Localization and Functional Connectivity Analysis Using a New Prewhitening Invariance of Noise Space Algorithm,” Neural Plasticity, vol. 2016, pp. 1–12, 2016. View at Publisher · View at Google Scholar
  • Silvia Erika Kober, Johanna Louise Reichert, Christa Neuper, and Guilherme Wood, “Interactive Effects of Age and Gender on EEG Power and Coherence During a Short-Term Memory Task in Middle-Aged Adults,” Neurobiology of Aging, 2016. View at Publisher · View at Google Scholar
  • P. D. Watson, K. M. Horecka, R. Ratnam, and N. J. Cohen, “A phase-locked loop epilepsy network emulator,” Neurocomputing, vol. 173, pp. 1245–1249, 2016. View at Publisher · View at Google Scholar
  • Michael R. Hodge, William Horton, Timothy Brown, Rick Herrick, Timothy Olsen, Michael E. Hileman, Michael McKay, Kevin A. Archie, Eileen Cler, Michael P. Harms, Gregory C. Burgess, Matthew F. Glasser, Jennifer S. Elam, Sandra W. Curtiss, Deanna M. Barch, Robert Oostenveld, Linda J. Larson-Prior, Kamil Ugurbil, David C. Van Essen, and Daniel S. Marcus, “ConnectomeDB-Sharing human brain connectivity data,” Neuroimage, vol. 124, pp. 1102–1107, 2016. View at Publisher · View at Google Scholar
  • Marlene Boenstrup, Robert Schulz, Jan Feldheim, Friedhelm C. Hummel, and Christian Gerloff, “Dynamic causal modelling of EEG and fMRI to characterize network architectures in a simple motor task,” Neuroimage, vol. 124, pp. 498–508, 2016. View at Publisher · View at Google Scholar
  • Jessica R. Gilbert, Mkael Symmonds, Michael G. Hanna, Raymond J. Dolan, Karl J. Friston, and Rosalyn J. Moran, “Profiling neuronal ion channelopathies with non-invasive brain imaging and dynamic causal models: Case studies of single gene mutations,” NeuroImage, vol. 124, pp. 43–53, 2016. View at Publisher · View at Google Scholar
  • Samir Das, Tristan Glatard, Leigh C. MacIntyre, Cecile Madjar, Christine Rogers, Marc-Etienne Rousseau, Pierre Rioux, Dave MacFarlane, Zia Mohades, Rathi Gnanasekaran, Carolina Makowski, Penelope Kostopoulos, Reza Adalat, Najmeh Khalili-Mahani, Guiomar Niso, Jeremy T. Moreau, and Alan C. Evans, “The MNI data-sharing and processing ecosystem,” Neuroimage, vol. 124, pp. 1188–1195, 2016. View at Publisher · View at Google Scholar
  • Jonathan Levy, Abraham Goldstein, Orna Zagoory-Sharon, Omri Weisman, Inna Schneiderman, Moranne Eidelman-Rothman, and Ruth Feldman, “Oxytocin selectively modulates brain response to stimuli probing social synchrony,” Neuroimage, vol. 124, pp. 923–930, 2016. View at Publisher · View at Google Scholar
  • Guangyu Zhou, Mathieu Bourguignon, Lauri Parkkonen, and Riitta Hari, “Neural signatures of hand kinematics in leaders vs. followers: A dual-MEG study,” NeuroImage, vol. 125, pp. 731–738, 2016. View at Publisher · View at Google Scholar
  • L. Forest Gruss, Taimour Langaee, and Andreas Keil, “The role of the COMT val158met polymorphism in mediating aversive learning in visual cortex,” NeuroImage, vol. 125, pp. 633–642, 2016. View at Publisher · View at Google Scholar
  • Pawel J. Matusz, Chrysa Retsa, and Micah M. Murray, “The context-contingent nature of cross-modal activations of the visual cortex,” Neuroimage, vol. 125, pp. 996–1004, 2016. View at Publisher · View at Google Scholar
  • Saeid Mehrkanoon, Tjeerd W. Boonstra, Michael Breakspear, Mark Hinder, and Jeffery J. Summers, “Upregulation of cortico-cerebellar functional connectivity after motor learning,” NeuroImage, 2016. View at Publisher · View at Google Scholar
  • Mathias Scharinger, Philip J. Monahan, and William J. Idsardi, “Linguistic category structure influences early auditory processing: Converging evidence from mismatch responses and cortical oscillations,” NeuroImage, 2016. View at Publisher · View at Google Scholar
  • Matthias S. Treder, Anne K. Porbadnigk, Forooz Shahbazi Avarvand, Klaus-Robert Müller, and Benjamin Blankertz, “The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis,” NeuroImage, 2016. View at Publisher · View at Google Scholar
  • Jacques Anken, Jean-François Knebel, Sonia Crottaz-Herbette, Pawel J. Matusz, Jérémie Lefebvre, and Micah M. Murray, “Cue-dependent circuits for illusory contours in humans,” NeuroImage, 2016. View at Publisher · View at Google Scholar
  • Georgios Michalareas, Julien Vezoli, Stan van Pelt, Jan-Mathijs Schoffelen, Henry Kennedy, and Pascal Fries, “Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas,” Neuron, vol. 89, no. 2, pp. 384–397, 2016. View at Publisher · View at Google Scholar
  • Jeff Hanna, Yury Shtyrov, John Williams, and Friedemann Pulvermüller, “Early neurophysiological indices of second language morphosyntax learning,” Neuropsychologia, 2016. View at Publisher · View at Google Scholar
  • A.H. Van Hoogmoed, L. Nadel, G. Spanò, and J.O. Edgin, “ERP correlates of object recognition memory in Down syndrome: Do active and passive tasks measure the same thing?,” Neuropsychologia, vol. 82, pp. 39–53, 2016. View at Publisher · View at Google Scholar
  • Linden Parkes, Conrad Perry, and Peter Goodin, “Examining the N400m in affectively negative sentences: A magnetoencephalography study,” Psychophysiology, 2016. View at Publisher · View at Google Scholar
  • Claus Kiefer, Eugenio Abela, Kaspar Schindler, and Roland Wiest, “Focal Epilepsy: MR Imaging of Nonhemodynamic Field Effects by Using a Phase-cycled Stimulus-induced Rotary Saturation Approach with Spin-Lock Preparation,” Radiology, pp. 150368, 2016. View at Publisher · View at Google Scholar
  • Korey Kam, Áine M. Duffy, Jillian Moretto, John J. LaFrancois, and Helen E. Scharfman, “Interictal spikes during sleep are an early defect in the Tg2576 mouse model of β-amyloid neuropathology,” Scientific Reports, vol. 6, pp. 20119, 2016. View at Publisher · View at Google Scholar
  • Chia-Hsiung Cheng, Pei-Ying S. Chan, David M. Niddam, Shang-Yueh Tsai, Shih-Chieh Hsu, and Chia-Yih Liu, “Sensory gating, inhibition control and gamma oscillations in the human somatosensory cortex,” Scientific Reports, vol. 6, pp. 20437, 2016. View at Publisher · View at Google Scholar
  • Meen Chul Kim, Yongjun Zhu, and Chaomei Chen, “How are they different? A quantitative domain comparison of information visualization and data visualization (2000–2014),” Scientometrics, 2016. View at Publisher · View at Google Scholar
  • Andrea Mannini, Diana Trojaniello, Andrea Cereatti, and Angelo Sabatini, “A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington’s Disease Patients,” Sensors, vol. 16, no. 2, pp. 134, 2016. View at Publisher · View at Google Scholar
  • Jorge G. Gomez-Gutierrez, Jonathan Nitz, Rajesh Sharma, Stephen L. Wechman, Eric Riedinger, Elvis Martinez-Jaramillo, Heshan Sam Zhou, and Kelly M. McMasters, “Combined therapy of oncolytic adenovirus and temozolomide enhances lung cancer virotherapy in vitro and in vivo,” Virology, vol. 487, pp. 249–259, 2016. View at Publisher · View at Google Scholar
  • Jun Wang, Bihua Zhou, and Shudao Zhou, “TEC Data Forecasting Using a Novel Nonlinear Model,” Advances in Astronomy, vol. 2015, pp. 1–7, 2015. View at Publisher · View at Google Scholar
  • Baoguo Xu, Aiguo Song, Guopu Zhao, Guozheng Xu, Lizheng Pan, Renhuan Yang, Huijun Li, and Jianwei Cui, “Design and evaluation of a motor imagery electroencephalogram-controlled robot system,” Advances In Mechanical Engineering, vol. 7, no. 3, 2015. View at Publisher · View at Google Scholar
  • Junqing Shi, Yongju Hu, Sulan Li, Zhiqiang Li, Xinhuan Zhang, and Chengyuan Mao, “Simulation and analysis of road construction traffic flow in urban road networks,” Advances In Mechanical Engineering, vol. 7, no. 11, 2015. View at Publisher · View at Google Scholar
  • D. V. Moretti, “Conversion of mild cognitive impairment patients in Alzheimer’s disease: prognostic value of Alpha3/Alpha2 electroencephalographic rhythms power ratio,” Alzheimer's Research & Therapy, vol. 7, no. 1, 2015. View at Publisher · View at Google Scholar
  • Florian Hatz, Martin Hardmeier, Nina Benz, Michael Ehrensperger, Ute Gschwandtner, Stephan Rüegg, Christian Schindler, Andreas U. Monsch, and Peter Fuhr, “Microstate connectivity alterations in patients with early Alzheimer’s disease,” Alzheimer's Research & Therapy, vol. 7, no. 1, 2015. View at Publisher · View at Google Scholar
  • 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
  • Jacques Luauté, and Isabelle Laffont, “BCIs and physical medicine and rehabilitation: The future is now,” Annals of Physical and Rehabilitation Medicine, vol. 58, no. 1, pp. 1–2, 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
  • Mridul Chawla, and Manoj Duhan, “Bat Algorithm: A Survey Of The State-Of-The-Art,” Applied Artificial Intelligence, vol. 29, no. 6, pp. 617–634, 2015. View at Publisher · View at Google Scholar
  • Jen-Chieh Chang, Tzu-Chen Hung, Ya-Ling He, and Wenping Zhang, “Experimental study on low-temperature organic Rankine cycle utilizing scroll type expander,” Applied Energy, vol. 155, pp. 150–159, 2015. View at Publisher · View at Google Scholar
  • Giulia Liberati, Alessia Pizzimenti, Luca Simione, Angela Riccio, Francesca Schettini, Maurizio Inghilleri, Donatella Mattia, and Febo Cincotti, “Developing brain-computer interfaces from a user-centered perspective: Assessing the needs of persons with amyotrophic lateral sclerosis, caregivers, ,” Applied Ergonomics, vol. 50, pp. 139–146, 2015. View at Publisher · View at Google Scholar
  • M. A. Z. Raja, R. Samar, T. Haroon, and S. M. Shah, “Unsupervised neural network model optimized with evolutionary computations for solving variants of nonlinear MHD Jeffery-Hamel problem,” Applied Mathematics and Mechanics, 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
  • Hussain Shareef, Ahmad Asrul Ibrahim, and Ammar Hussein Mutlag, “Lightning search algorithm,” Applied Soft Computing, 2015. View at Publisher · View at Google Scholar
  • Muhammad Asif Zahoor Raja, Umair Farooq, Naveed Ishtiaq Chaudhary, and Abdul Majid Wazwaz, “Stochastic numerical solver for nanofluidic problems containing multi-walled carbon nanotubes,” Applied Soft Computing, 2015. View at Publisher · View at Google Scholar
  • Jianhui Lv, Xingwei Wang, Min Huang, Hui Cheng, and Fuliang Li, “Solving 0-1 knapsack problem by greedy degree and expectation efficiency,” Applied Soft Computing, 2015. View at Publisher · View at Google Scholar
  • Makoto Nakatsuji, Hiroyuki Toda, Hiroshi Sawada, Jin Guang Zheng, and James A. Hendler, “Semantic sensitive tensor factorization,” Artificial Intelligence, 2015. View at Publisher · View at Google Scholar
  • Massimo Buscema, Fabrizio Vernieri, Giulia Massini, Federica Scrascia, Marco Breda, Paolo Maria Rossini, and Enzo Grossi, “An improved I-FAST system for the diagnosis of Alzheimer's disease from unprocessed electroencephalograms by using robust invariant features,” Artificial Intelligence in Medicine, 2015. View at Publisher · View at Google Scholar
  • Blas Couto, Federico Adolfi, María Velasquez, Marie Mesow, Justin Feinstein, Andres Canales-Johnson, Ezequiel Mikulan, David Martínez-Pernía, Tristan Bekinschtein, Mariano Sigman, Facundo Manes, and Agustin Ibanez, “Heart evoked potential triggers brain responses to natural affective scenes: A preliminary study,” Autonomic Neuroscience, 2015. View at Publisher · View at Google Scholar
  • Geraldine Petit, Agnieszka Cimochowska, Carlos Cevallos, Guy Cheron, Charles Kornreich, Catherine Hanak, Elisa Schroder, Paul Verbanck, and Salvatore Campanella, “Reduced processing of alcohol cues predicts abstinence in recently detoxified alcoholic patients in a three-month follow up period: An ERP study,” Behavioural Brain Research, vol. 282, pp. 84–94, 2015. View at Publisher · View at Google Scholar
  • Miguel F. Gago, Estela Bicho, Vítor Fernandes, Nuno F. Gago, Luís Costa, Hélder Silva, Maria Lurdes Rodrigues, Luís Rocha, Nuno Sousa, and Darya Yelshyna, “Compensatory postural adjustments in Parkinson’s disease assessed via a virtual reality environment,” Behavioural Brain Research, 2015. View at Publisher · View at Google Scholar