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Citations to this Journal [4,035 citations: 1–100 of 3,498 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 4,035 times. The following is a list of the 3,498 articles that have cited the articles published in Computational Intelligence and Neuroscience.

  • Atiyeh Mortazavi, and Mohammad Hossein Moattar, “Robust Feature Selection from Microarray Data Based on Cooperative Game Theory and Qualitative Mutual Information,” Advances in Bioinformatics, vol. 2016, pp. 1–16, 2016. View at Publisher · View at Google Scholar
  • Jinxing Lai, Houquan Liu, Junling Qiu, and Jianxun Chen, “Settlement Analysis of Saturated Tailings Dam Treated by CFG Pile Composite Foundation,” Advances in Materials Science and Engineering, vol. 2016, pp. 1–10, 2016. View at Publisher · View at Google Scholar
  • Dewen Kong, and Xiucheng Guo, “Analysis of vehicle headway distribution on multi-lane freeway considering car-truck interaction,” Advances In Mechanical Engineering, vol. 8, no. 4, 2016. View at Publisher · View at Google Scholar
  • Burke Q. Rosen, Nevena Padovan, and Ksenija Marinkovic, “Alcohol Hits You When It Is Hard: Intoxication, Task Difficulty, and Theta Brain Oscillations,” Alcoholism: Clinical and Experimental Research, vol. 40, no. 4, pp. 743–752, 2016. View at Publisher · View at Google Scholar
  • Hugo F. Posada-Quintero, John P. Florian, Alvaro D. Orjuela-Cañón, Tomas Aljama-Corrales, Sonia Charleston-Villalobos, and Ki H. Chon, “Power Spectral Density Analysis of Electrodermal Activity for Sympathetic Function Assessment,” Annals of Biomedical Engineering, 2016. View at Publisher · View at Google Scholar
  • Juan Wang, Bo Huang, Dongjie Fu, Peter M. Atkinson, and Xuezhen Zhang, “Response of urban heat island to future urban expansion over the Beijing-Tianjin-Hebei metropolitan area,” Applied Geography, vol. 70, pp. 26–36, 2016. View at Publisher · View at Google Scholar
  • Lei Si, Zhongbin Wang, Ze Liu, Xinhua Liu, Chao Tan, and Rongxin Xu, “Health Condition Evaluation for a Shearer through the Integration of a Fuzzy Neural Network and Improved Particle Swarm Optimization Algorithm,” Applied Sciences, vol. 6, no. 6, pp. 171, 2016. View at Publisher · View at Google Scholar
  • Lifeng Wu, Xiaohui Fu, and Yong Guan, “Review of the Remaining Useful Life Prognostics of Vehicle Lithium-Ion Batteries Using Data-Driven Methodologies,” Applied Sciences, vol. 6, no. 6, pp. 166, 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, vol. 41, pp. 479–487, 2016. View at Publisher · View at Google Scholar
  • R. Jensi, and G. Wiselin Jiji, “An enhanced particle swarm optimization with levy flight for global optimization,” Applied Soft Computing, 2016. View at Publisher · View at Google Scholar
  • 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
  • Jui-Sheng Chou, and Julian Pratama Putra Thedja, “Metaheuristic optimization within machine learning-based classification system for early warnings related to geotechnical problems,” Automation in Construction, vol. 68, pp. 65–80, 2016. View at Publisher · View at Google Scholar
  • Junpeng Lao, Sébastien Miellet, Cyril Pernet, Nayla Sokhn, and Roberto Caldara, “iMap4: An open source toolbox for the statistical fixation mapping of eye movement data with linear mixed modeling,” Behavior Research Methods, 2016. View at Publisher · View at Google Scholar
  • Gennady G. Knyazev, Alexander N. Savostyanov, Andrey V. Bocharov, Sergey S. Tamozhnikov, and Alexander E. Saprigyn, “Task-positive and task-negative networks and their relation to depression: EEG beamformer analysis,” Behavioural Brain Research, 2016. View at Publisher · View at Google Scholar
  • Anna Luisa Klahn, Isabelle A.G. Klinkenberg, Swantje Notzon, Volker Arolt, Christo Pantev, Peter Zwanzger, and Markus Junghöfer, “Prepare for scare - Impact of threat predictability on affective visual processing in spider phobia,” Behavioural Brain Research, 2016. View at Publisher · View at Google Scholar
  • Asaid Khateb, Alan J. Pegna, Christoph M. Michel, Michael Mouthon, and Jean-Marie Annoni, “Semantic relatedness and first-second language effects in the bilingual brain: a brain mapping study,” Bilingualism-Language And Cognition, vol. 19, no. 2, pp. 311–330, 2016. View at Publisher · View at Google Scholar
  • Mojtaba Chehelcheraghi, Chie Nakatani, Erik Steur, and Cees van Leeuwen, “A neural mass model of phase–amplitude coupling,” Biological Cybernetics, vol. 110, no. 2-3, pp. 171–192, 2016. View at Publisher · View at Google Scholar
  • Darren L. Clark, Elliot C. Brown, Rajamannar Ramasubbu, and Zelma H. Kiss, “Intrinsic local beta oscillations in the subgenual cingulate relate to depressive symptoms in treatment resistant depression,” Biological Psychiatry, 2016. View at Publisher · View at Google Scholar
  • Ozlem Korucoglu, Thomas E. Gladwin, and Reinout W. Wiers, “The effect of acute alcohol on motor-related EEG asymmetries during preparation of approach or avoid alcohol responses,” Biological Psychology, vol. 114, pp. 81–92, 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
  • Almudena Capilla, María Melcón, Dominique Kessel, Rosbén Calderón, Paula Pazo-Álvarez, and Luis Carretié, “Retinotopic Mapping of Visual Event-Related Potentials,” Biological Psychology, 2016. View at Publisher · View at Google Scholar
  • JohnMark Taylor, Zarrar Shehzad, and Gregory McCarthy, “Electrophysiological correlates of face-evoked person knowledge,” 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
  • Richard M.G. Tello, Sandra M.T. Müller, Muhammad A. Hasan, André Ferreira, Sridhar Krishnan, and Teodiano F. Bastos, “An independent-BCI based on SSVEP using Figure-Ground Perception (FGP),” Biomedical Signal Processing and Control, vol. 26, pp. 69–79, 2016. View at Publisher · View at Google Scholar
  • Xin Sui, Xiao-hua Li, Ming-hua Duan, Ai-ling Jia, Ye Wang, Da Liu, Yi-Ping Li, and Zhi-Dong Qiu, “Investigation of the anti-glioma activity of Oviductus ranae protein hydrolysate,” Biomedicine & Pharmacotherapy, vol. 81, pp. 176–181, 2016. View at Publisher · View at Google Scholar
  • Le Ou-Yang, Min Wu, Xiao-Fei Zhang, Dao-Qing Dai, Xiao-Li Li, and Hong Yan, “A two-layer integration framework for protein complex detection,” Bmc Bioinformatics, vol. 17, 2016. View at Publisher · View at Google Scholar
  • Wanja Wolff, Sebastian Schindler, Christoph Englert, Ralf Brand, and Johanna Kissler, “Uninstructed BIAT faking when ego depleted or in normal state: differential effect on brain and behavior,” BMC Neuroscience, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • You Xu, Hao Chai, Bingren Zhang, Qianqian Gao, Hongying Fan, Leilei Zheng, Hongjing Mao, Yonghua Zhang, and Wei Wang, “Event-related potentials elicited by the Deutsch “high-low” word illusion in the patients with first-episode schizophrenia with auditory hallucinations,” BMC Psychiatry, vol. 16, no. 1, 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
  • 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
  • M.W. Spratling, “A review of predictive coding algorithms,” Brain and Cognition, 2016. View at Publisher · View at Google Scholar
  • Carolin Dudschig, Claudia Maienborn, and Barbara Kaup, “Is there a difference between stripy journeys and stripy ladybirds? The N400 response to semantic and world-knowledge violations during sentence proce,” Brain And Cognition, vol. 103, pp. 38–49, 2016. View at Publisher · View at Google Scholar
  • Linda Drijvers, Kimberley Mulder, and Mirjam Ernestus, “Alpha and gamma band oscillations index differential processing of acoustically reduced and full forms,” Brain and Language, vol. 153-154, pp. 27–37, 2016. View at Publisher · View at Google Scholar
  • Wei-Lun Chung, and Gavin M. Bidelman, “Cortical encoding and neurophysiological tracking of intensity and pitch cues signaling English stress patterns in native and nonnative speakers,” Brain and Language, vol. 155-156, pp. 49–57, 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
  • Enrique García-Marco, David Beltrán, Inmaculada León, and Manuel de Vega, “Readers of narratives take the protagonist’s geographical perspective. Evidence from an event-related potential study,” Brain and Language, vol. 153-154, pp. 20–26, 2016. View at Publisher · View at Google Scholar
  • Pilar Garcés, Maria Carmen Martin-Buro, and Fernando Maestu, “Quantifying the test-retest reliability of MEG resting state functional connectivity,” Brain Connectivity, 2016. View at Publisher · View at Google Scholar
  • Ao Tan, Li Hu, Yiheng Tu, Rui Chen, Yeung Sam Hung, and Zhiguo Zhang, “N1 Magnitude of Auditory Evoked Potentials and Spontaneous Functional Connectivity between Bilateral Heschl’s Gyrus are Coupled at Inter-individual Level,” Brain Connectivity, 2016. View at Publisher · View at Google Scholar
  • Kathryn S. Hayward, Janice J. Eng, Lara A. Boyd, Bimal Lakhani, Julie Bernhardt, and Catherine E. Lang, “Exploring the Role of Accelerometers in the Measurement of Real World Upper-Limb Use After Stroke,” Brain Impairment, vol. 17, no. 1, pp. 16–33, 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
  • Bakul Gohel, Peter Lee, and Yong Jeong, “Modality-specific spectral dynamics in response to visual and tactile sequential shape information processing tasks: An MEG study using multivariate pattern classification analysis,” Brain Research, 2016. View at Publisher · View at Google Scholar
  • Vincenza Tarantino, Ilaria Mazzonetto, and Antonino Vallesi, “Electrophysiological correlates of the cognitive control processes underpinning mixing and switching costs,” Brain Research, 2016. View at Publisher · View at Google Scholar
  • Darren K. Emge, François-Benoît Vialatte, Gérard Dreyfus, and Tülay Adalı, “Independent Vector Analysis for SSVEP Signal Enhancement, Detection, and Topographical Mapping,” Brain Topography, 2016. View at Publisher · View at Google Scholar
  • Pedro A. Valdés-Hernández, Jihye Bae, Yinchen Song, Akira Sumiyoshi, Eduardo Aubert-Vázquez, and Jorge J. Riera, “Validating Non-invasive EEG Source Imaging Using Optimal Electrode Configurations on a Representative Rat Head Model,” Brain Topography, 2016. View at Publisher · View at Google Scholar
  • Tim Bühler, Jochen Kindler, Rahel C. Schneider, Werner Strik, Thomas Dierks, Daniela Hubl, and Thomas Koenig, “Disturbances of Agency and Ownership in Schizophrenia: An Auditory Verbal Event Related Potentials Study,” Brain Topography, 2016. View at Publisher · View at Google Scholar
  • Guillaume Lio, and Philippe Boulinguez, “How Does Sensor-Space Group Blind Source Separation Face Inter-individual Neuroanatomical Variability? Insights from a Simulation Study Based on the PALS-B12 Atlas,” Brain Topography, 2016. View at Publisher · View at Google Scholar
  • Bruce C. Hansen, Andrew M. Haun, Aaron P. Johnson, and Dave Ellemberg, “On the Differentiation of Foveal and Peripheral Early Visual Evoked Potentials,” Brain Topography, 2016. View at Publisher · View at Google Scholar
  • Benjamin T. Files, Vernon J. Lawhern, Anthony J. Ries, and Amar R. Marathe, “A Permutation Test for Unbalanced Paired Comparisons of Global Field Power,” Brain Topography, vol. 29, no. 3, pp. 345–357, 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
  • David A. Bridwell, Srinivas Rachakonda, Rogers F. Silva, Godfrey D. Pearlson, and Vince D. Calhoun, “Spatiospectral Decomposition of Multi-subject EEG: Evaluating Blind Source Separation Algorithms on Real and Realistic Simulated Data,” Brain Topography, 2016. View at Publisher · View at Google Scholar
  • Jan R. Wessel, “Testing Multiple Psychological Processes for Common Neural Mechanisms Using EEG and Independent Component Analysis,” Brain Topography, 2016. View at Publisher · View at Google Scholar
  • Po-Ching Chen, Eduardo M. Castillo, James Baumgartner, Joo Hee Seo, Milena Korostenskaja, and Ki Hyeong Lee, “Identification of Focal Epileptogenic Networks in Generalized Epilepsy Using Brain Functional Connectivity Analysis of Bilateral Intracranial EEG Signals,” Brain Topography, 2016. View at Publisher · View at Google Scholar
  • Stefan Haufe, and Arne Ewald, “A Simulation Framework for Benchmarking EEG-Based Brain Connectivity Estimation Methodologies,” Brain Topography, 2016. View at Publisher · View at Google Scholar
  • H. Banville, and T.H. Falk, “Recent advances and open challenges in hybrid brain-computer interfacing: a technological review of non-invasive human research,” Brain-Computer Interfaces, pp. 1–38, 2016. View at Publisher · View at Google Scholar
  • Daniel H. Ahn, Terence M. Williams, Daniel A. Goldstein, Bassel El-Rayes, and Tanios Bekaii-Saab, “Adjuvant therapy for pancreas cancer in an era of value based cancer care,” Cancer Treatment Reviews, vol. 42, pp. 10–17, 2016. View at Publisher · View at Google Scholar
  • Julien Volle, Xiaotian Yu, Huaying Sun, Stephanie E. Tanninen, Nathan Insel, and Kaori Takehara-Nishiuchi, “Enhancing Prefrontal Neuron Activity Enables Associative Learning of Temporally Disparate Events,” Cell Reports, 2016. View at Publisher · View at Google Scholar
  • Inga Steppacher, Sebastian Schindler, and Johanna Kissler, “Higher, faster, worse? An event-related potentials study of affective picture processing in migraine,” Cephalalgia, vol. 36, no. 3, pp. 249–257, 2016. View at Publisher · View at Google Scholar
  • Robert M. Mok, Nicholas E. Myers, George Wallis, and Anna Christina Nobre, “Behavioral and Neural Markers of Flexible Attention over Working Memory in Aging,” Cerebral Cortex, pp. bhw011, 2016. View at Publisher · View at Google Scholar
  • Wataru Sato, Takanori Kochiyama, Shota Uono, Sakiko Yoshikawa, and Motomi Toichi, “Direction of Amygdala–Neocortex Interaction During Dynamic Facial Expression Processing,” Cerebral Cortex, pp. bhw036, 2016. View at Publisher · View at Google Scholar
  • Mahdi Mahmoudzadeh, Fabrice Wallois, Guy Kongolo, Sabrina Goudjil, and Ghislaine Dehaene-Lambertz, “Functional Maps at the Onset of Auditory Inputs in Very Early Preterm Human Neonates,” Cerebral Cortex, pp. bhw103, 2016. View at Publisher · View at Google Scholar
  • Radoslaw Martin Cichy, Dimitrios Pantazis, and Aude Oliva, “Similarity-Based Fusion of MEG and fMRI Reveals Spatio-Temporal Dynamics in Human Cortex During Visual Object Recognition,” Cerebral Cortex, pp. bhw135, 2016. View at Publisher · View at Google Scholar
  • Nathan Cashdollar, Philipp Ruhnau, Nathan Weisz, and Uri Hasson, “The Role of Working Memory in the Probabilistic Inference of Future Sensory Events,” Cerebral Cortex, pp. bhw138, 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
  • Jianzhang Wu, Xiao Yu, Linli Zhu, and Wei Gao, “Leave-two-out stability of ontology learning algorithm,” Chaos, Solitons & Fractals, 2016. View at Publisher · View at Google Scholar
  • Maggie W. Guy, Nicole Zieber, and John E. Richards, “The Cortical Development of Specialized Face Processing in Infancy,” Child Development, 2016. View at Publisher · View at Google Scholar
  • Zhengwei Xiao, Yingjie Zhang, and Guorong Hu, “Influence of synthesis parameters on the properties of LiFePO4/C cathode material,” Chinese Journal Of Chemical Engineering, vol. 24, no. 3, pp. 427–432, 2016. View at Publisher · View at Google Scholar
  • R. Anand, and Dr. S. Saravanan, “A Correlative Study of Perturb and Observe Technique and GA-RBF-NN Method Supplying a Brushless DC Motor,” Circuits and Systems, vol. 07, no. 08, pp. 1653–1664, 2016. View at Publisher · View at Google Scholar
  • Qi Li, Ya-Ni Wei, and Zheng-Ao Chen, “Water-CCUS nexus: challenges and opportunities of China's coal chemical industry,” Clean Technologies And Environmental Policy, vol. 18, no. 3, pp. 775–786, 2016. View at Publisher · View at Google Scholar
  • Fu-Jung Hsiao, Fang-Yuh Hsieh, Wei-Ta Chen, Da-Chen Chu, and Yung-Yang Lin, “Altered Resting-State Cortical EEG Oscillations in Patients With Severe Asymptomatic Carotid Stenosis,” Clinical Eeg And Neuroscience, vol. 47, no. 2, pp. 142–149, 2016. View at Publisher · View at Google Scholar
  • Marlieke Scholten, Rathinaswamy B. Govindan, Christoph Braun, Bastiaan R. Bloem, Christian Plewnia, Rejko Krüger, Alireza Gharabaghi, and Daniel Weiss, “Cortical correlates of susceptibility to upper limb freezing in Parkinson’s disease,” Clinical Neurophysiology, vol. 127, no. 6, pp. 2386–2393, 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
  • Matthias Grieder, Thomas Koenig, Toshihiko Kinoshita, Keita Utsunomiya, Lars-Olof Wahlund, Thomas Dierks, and Keiichiro Nishida, “Discovering EEG resting state alterations of Semantic Dementia,” Clinical Neurophysiology, 2016. View at Publisher · View at Google Scholar
  • Theresa Götz, Philipp Baumbach, Philipp Reuken, Ralph Huonker, Cornelia Kranczioch, Stefan Debener, Frank M. Brunkhorst, Otto W. Witte, Carsten Klingner, and Albrecht Günther, “The loss of neural synchrony in the post septic brain,” Clinical Neurophysiology, vol. 127, no. 5, pp. 2200–2207, 2016. View at Publisher · View at Google Scholar
  • Yun Jung Hur, and Heung Dong Kim, “Predictive role of brain connectivity for resective surgery in Lennox-Gastaut syndrome,” Clinical Neurophysiology, 2016. View at Publisher · View at Google Scholar
  • Charles W. Huang, Ming-Xiong Huang, Zhengwei Ji, Ashley Robb Swan, AnneMarie Angeles, Tao Song, Jeffrey W. Huang, and Roland R. Lee, “High Resolution MEG Source Imaging Approach to Accurately Localize Broca’s Area in Patients with Brain Tumor or Epilepsy,” Clinical Neurophysiology, 2016. View at Publisher · View at Google Scholar
  • Aurélie L. Manuel, and Armin Schnider, “Effect of prefrontal and parietal tDCS on learning and recognition of verbal and non-verbal material,” 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
  • Shannon S. Bosshard, Jesse D. Bourke, Sajeev Kunaharan, Monika Koller, Peter Walla, and Jarmo Heinonen, “Established liked versus disliked brands: Brain activity, implicit associations and explicit responses,” Cogent Psychology, vol. 3, no. 1, pp. 1176691, 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
  • Farhan Hassan Khan, Usman Qamar, and Saba Bashir, “Multi-Objective Model Selection (MOMS)-based Semi-Supervised Framework for Sentiment Analysis,” Cognitive Computation, 2016. View at Publisher · View at Google Scholar
  • Alexey Pimashkin, Arseniy Gladkov, Ekaterina Agrba, Irina Mukhina, and Victor Kazantsev, “Selectivity of stimulus induced responses in cultured hippocampal networks on microelectrode arrays,” Cognitive Neurodynamics, 2016. View at Publisher · View at Google Scholar
  • Anwesha Khasnobish, Monalisa Pal, Dwaipayan Sardar, D. N. Tibarewala, and Amit Konar, “Vibrotactile feedback for conveying object shape information as perceived by artificial sensing of robotic arm,” Cognitive Neurodynamics, 2016. View at Publisher · View at Google Scholar
  • Foteini Protopapa, Constantinos I. Siettos, Ivan Myatchin, and Lieven Lagae, “Children with well controlled epilepsy possess different spatio-temporal patterns of causal network connectivity during a visual working memory task,” Cognitive Neurodynamics, vol. 10, no. 2, pp. 99–111, 2016. View at Publisher · View at Google Scholar
  • M. W. Spratling, “Predictive coding as a model of cognition,” Cognitive Processing, 2016. View at Publisher · View at Google Scholar
  • Susana Silva, Vasiliki Folia, Peter Hagoort, and Karl Magnus Petersson, “The P600 in Implicit Artificial Grammar Learning,” Cognitive Science, 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
  • Bingbing Li, Wei Wang, Chuanji Gao, and Chunyan Guo, “Masked repetition priming hinders subsequent recollection but not familiarity: A behavioral and event-related potential study,” Cognitive, Affective, & Behavioral Neuroscience, 2016. View at Publisher · View at Google Scholar
  • Kara J. Blacker, Akiko Ikkai, Balaji M. Lakshmanan, Joshua B. Ewen, and Susan M. Courtney, “The role of alpha oscillations in deriving and maintaining spatial relations in working memory,” 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
  • Berenice Gudiño-Mendoza, Gildardo Sanchez-Ante, and Javier M. Antelis, “Detecting the Intention to Move Upper Limbs from Electroencephalographic Brain Signals,” Computational and Mathematical Methods in Medicine, vol. 2016, pp. 1–11, 2016. View at Publisher · View at Google Scholar
  • A. Anguera, J.M. Barreiro, J.A. Lara, and D. Lizcano, “Applying data mining techniques to medical time series: an empirical case study in electroencephalography and stabilometry,” Computational and Structural Biotechnology Journal, 2016. View at Publisher · View at Google Scholar
  • Mauro Castelli, and Alessio Fumagalli, “An evolutionary system for exploitation of fractured geothermal reservoirs,” Computational Geosciences, 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
  • Junjia Yuan, Hao Meng, Qidan Zhu, and Jiajia Zhou, “Course Control of Underactuated Ship Based on Nonlinear Robust Neural Network Backstepping Method,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–11, 2016. View at Publisher · View at Google Scholar
  • Jie Wang, Jun Wang, Wen Fang, and Hongli Niu, “Financial Time Series Prediction Using Elman Recurrent Random Neural Networks,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–14, 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
  • Binglian Zhu, Wenyong Zhu, Zijuan Liu, Qingyan Duan, and Long Cao, “A Novel Quantum-Behaved Bat Algorithm with Mean Best Position Directed for Numerical Optimization,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–17, 2016. View at Publisher · View at Google Scholar