About this Journal Submit a Manuscript Table of Contents

Citations to this Journal [4,225 citations: 101–200 of 3,667 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 4,225 times. The following is a list of the 3,667 articles that have cited the articles published in Computational Intelligence and Neuroscience.

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • L. Storzer, M. Butz, J. Hirschmann, O. Abbasi, M. Gratkowski, D. Saupe, A. Schnitzler, and S.S. Dalal, “EP 60. Bicycling suppresses beta power more strongly than walking in the subthalamic nucleus of Parkinsonian patients,” Clinical Neurophysiology, vol. 127, no. 9, pp. e200, 2016. View at Publisher · View at Google Scholar
  • Mihai Popescu, John D. Hughes, Elena-Anda Popescu, Gerard Riedy, and Thomas J. DeGraba, “Reduced prefrontal MEG alpha-band power in mild traumatic brain injury with associated posttraumatic stress disorder symptoms,” Clinical Neurophysiology, 2016. View at Publisher · View at Google Scholar
  • Robert Bauer, Mathias Vukelić, and Alireza Gharabaghi, “What is the optimal task difficulty for reinforcement learning of brain self-regulation?,” Clinical Neurophysiology, 2016. View at Publisher · View at Google Scholar
  • Robert Bauer, Meike Fels, Vladislav Royter, Valerio Raco, and Alireza Gharabaghi, “Closed-loop adaptation of neurofeedback based on mental effort facilitates reinforcement learning of brain self-regulation,” 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
  • 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
  • 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
  • Oyebade K. Oyedotun, and Adnan Khashman, “Banknote recognition: investigating processing and cognition framework using competitive neural network,” Cognitive Neurodynamics, 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
  • Carolin Dudschig, Ian Grant Mackenzie, Jessica Strozyk, Barbara Kaup, and Hartmut Leuthold, “The Sounds of Sentences: Differentiating the Influence of Physical Sound, Sound Imagery, and Linguistically Implied Sounds on Physical Sound Processing,” Cognitive, Affective, & Behavioral Neuroscience, 2016. View at Publisher · View at Google Scholar
  • Maurizio Codispoti, Andrea De Cesarei, Simone Biondi, and Vera Ferrari, “The fate of unattended stimuli and emotional habituation: Behavioral interference and cortical changes,” Cognitive, Affective, & Behavioral Neuroscience, 2016. View at Publisher · View at Google Scholar
  • Gwilym Lockwood, Peter Hagoort, and Mark Dingemanse, “How Iconicity Helps People Learn New Words: Neural Correlates and Individual Differences in Sound-Symbolic Bootstrapping,” Collabra, vol. 2, no. 1, pp. 7, 2016. View at Publisher · View at Google Scholar
  • Jianzhang Wu, Xiao Yu, and Wei Gao, “Disequilibrium Multi-dividing Ontology Learning Algorithm,” Communications in Statistics - Theory and Methods, pp. 0–0, 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
  • Bo Yu, Lin Ma, Haifeng Li, Lun Zhao, Hongjian Bo, and Xunda Wang, “Biological Computation Indexes of Brain Oscillations in Unattended Facial Expression Processing Based on Event-Related Synchronization/Desynchronization,” Computational and Mathematical Methods in Medicine, vol. 2016, pp. 1–17, 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
  • Chunyuan Zhang, Qingxin Zhu, and Xinzheng Niu, “Kernel Recursive Least-Squares Temporal Difference Algorithms with Sparsification and Regularization,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–11, 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
  • Yang Liu, Weizhe Jing, and Lixiong Xu, “Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–11, 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
  • Ju-Chi Liu, Hung-Chyun Chou, Chien-Hsiu Chen, Yi-Tseng Lin, and Chung-Hsien Kuo, “Time-Shift Correlation Algorithm for P300 Event Related Potential Brain-Computer Interface Implementation,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–22, 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
  • Chao Tan, Rongxin Xu, Zhongbin Wang, Lei Si, and Xinhua Liu, “An Improved Genetic Fuzzy Logic Control Method to Reduce the Enlargement of Coal Floor Deformation in Shearer Memory Cutting Process,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–14, 2016. View at Publisher · View at Google Scholar
  • Ana-Sofía Hincapié, Jan Kujala, Jérémie Mattout, Sebastien Daligault, Claude Delpuech, Domingo Mery, Diego Cosmelli, and Karim Jerbi, “MEG Connectivity and Power Detections with Minimum Norm Estimates Require Different Regularization Parameters,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–11, 2016. View at Publisher · View at Google Scholar
  • Valeria Mondini, Anna Lisa Mangia, and Angelo Cappello, “EEG-Based BCI System Using Adaptive Features Extraction and Classification Procedures,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–14, 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
  • Piotr Stawicki, Felix Gembler, and Ivan Volosyak, “Driving a Semiautonomous Mobile Robotic Car Controlled by an SSVEP-Based BCI,” 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
  • Jiaxi Wang, Boliang Lin, and Junchen Jin, “Optimizing the Shunting Schedule of Electric Multiple Units Depot Using an Enhanced Particle Swarm Optimization Algorithm,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–11, 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
  • Yipeng Yu, Zhaohui Wu, Kedi Xu, Yongyue Gong, Nenggan Zheng, Xiaoxiang Zheng, and Gang Pan, “Automatic Training of Rat Cyborgs for Navigation,” 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
  • Shinichi Tamura, Yoshi Nishitani, Chie Hosokawa, Tomomitsu Miyoshi, and Hajime Sawai, “Simulation of Code Spectrum and Code Flow of Cultured Neuronal Networks,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–12, 2016. View at Publisher · View at Google Scholar
  • S. O. Onyango, Y. Hamam, K. Djouani, B. Daachi, and N. Steyn, “A Driving Behaviour Model of Electrical Wheelchair Users,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–20, 2016. View at Publisher · View at Google Scholar
  • Shinichi Tamura, Yoshi Nishitani, Chie Hosokawa, Tomomitsu Miyoshi, Hajime Sawai, Takuya Kamimura, Yasushi Yagi, Yuko Mizuno-Matsumoto, and Yen-Wei Chen, “Spike Code Flow in Cultured Neuronal Networks,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–11, 2016. View at Publisher · View at Google Scholar
  • Niels Trusbak Haumann, Lauri Parkkonen, Marina Kliuchko, Peter Vuust, and Elvira Brattico, “Comparing the Performance of Popular MEG/EEG Artifact Correction Methods in an Evoked-Response Study,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–10, 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
  • Sarah N. McClung, and Ziho Kang, “Characterization of Visual Scanning Patterns in Air Traffic Control,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–17, 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
  • Giulia Regalia, Stefania Coelli, Emilia Biffi, Giancarlo Ferrigno, and Alessandra Pedrocchi, “A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off-Line and On-Line Microelectrode Arrays Data Analysis,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–19, 2016. View at Publisher · View at Google Scholar
  • Mauro Castelli, Luca Manzoni, and Aleš Popovič, “An Artificial Intelligence System to Predict Quality of Service in Banking Organizations,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–7, 2016. View at Publisher · View at Google Scholar
  • Hani Omar, Van Hai Hoang, and Duen-Ren Liu, “A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–9, 2016. View at Publisher · View at Google Scholar
  • Kenneth Ball, Nima Bigdely-Shamlo, Tim Mullen, and Kay Robbins, “PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–20, 2016. View at Publisher · View at Google Scholar
  • Wei Mao, Heng-you Lan, and Hao-ru Li, “A New Modified Artificial Bee Colony Algorithm with Exponential Function Adaptive Steps,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–13, 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
  • Tarik A. Rashid, and Hawraz A. Ahmad, “Lecturer performance system using neural network with Particle Swarm Optimization,” Computer Applications in Engineering Education, 2016. View at Publisher · View at Google Scholar
  • Banghua Yang, Huarong Li, Qian Wang, and Yunyuan Zhang, “Subject-based Feature Extraction by Using fisher WPD-CSP in Brain Computer Interfaces,” Computer Methods and Programs in Biomedicine, 2016. View at Publisher · View at Google Scholar
  • Z. Roshan Zamir, “Detection of epileptic seizure in EEG signals using linear least squares preprocessing,” Computer Methods and Programs in Biomedicine, 2016. View at Publisher · View at Google Scholar
  • Xiaohua Huang, Jukka Kortelainen, Guoying Zhao, Xiaobai Li, Antti Moilanen, Tapio Seppänen, and Matti Pietikäinen, “Multi-modal emotion analysis from facial expressions and electroencephalogram,” Computer Vision and Image Understanding, vol. 147, pp. 114–124, 2016. View at Publisher · View at Google Scholar
  • İlhan Umut, “PSGMiner: A modular software for polysomnographic analysis,” Computers in Biology and Medicine, 2016. View at Publisher · View at Google Scholar
  • Prescott Alexander, Alexander Schlegel, Walter Sinnott-Armstrong, Adina L. Roskies, Thalia Wheatley, and Peter Ulric Tse, “Readiness potentials driven by non-motoric processes,” Consciousness And Cognition, vol. 39, pp. 38–47, 2016. View at Publisher · View at Google Scholar
  • Tim Paris, Jeesun Kim, and Chris Davis, “Using EEG and stimulus context to probe the modelling of auditory-visual speech,” Cortex, vol. 75, pp. 220–230, 2016. View at Publisher · View at Google Scholar
  • Suresh D. Muthukumaraswamy, Bethany Routley, Wouter Droog, Krish D. Singh, and Khalid Hamandi, “The effects of AMPA blockade on the spectral profile of human early visual cortex recordings studied with non-invasive human recordings (MEG),” Cortex, 2016. View at Publisher · View at Google Scholar
  • Alina Leminen, Lilli Kimppa, Miika M. Leminen, Minna Lehtonen, Jyrki P. Mäkelä, and Yury Shtyrov, “Acquisition and consolidation of novel morphology in human neocortex: A neuromagnetic study,” Cortex, 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
  • Ivan Alekseichuk, Zsolt Turi, Gabriel Amador de Lara, Andrea Antal, and Walter Paulus, “Spatial Working Memory in Humans Depends on Theta and High Gamma Synchronization in the Prefrontal Cortex,” Current Biology, 2016. View at Publisher · View at Google Scholar
  • Perrine Brusini, Ghislaine Dehaene-Lambertz, Michel Dutat, François Goffinet, and Anne Christophe, “ERP evidence for on-line syntactic computations in 2-year-olds,” Developmental Cognitive Neuroscience, 2016. View at Publisher · View at Google Scholar
  • Varghese Peter, Marina Kalashnikova, and Denis Burnham, “Neural processing of amplitude and formant rise time in dyslexia,” Developmental Cognitive Neuroscience, vol. 19, pp. 152–163, 2016. View at Publisher · View at Google Scholar
  • Juanita Mathews, and Michael Levin, “Gap junctional signaling in pattern regulation: Physiological network connectivity instructs growth and form,” Developmental Neurobiology, 2016. View at Publisher · View at Google Scholar
  • Janny C. Stapel, Ilse van Wijk, Harold Bekkering, and Sabine Hunnius, “Eighteen-month-old infants show distinct electrophysiological responses to their own faces,” Developmental Science, 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
  • Maryamsadat Hejazi, S.A.R. Al-Haddad, Yashwant Prasad Singh, Shaiful Jahari Hashim, and Ahmad Fazli Abdul Aziz, “ECG biometric authentication based on non-fiducial approach using kernel methods,” Digital Signal Processing, vol. 52, pp. 72–86, 2016. View at Publisher · View at Google Scholar
  • Toan Duc Bui, Chunsoo Ahn, and Jitae Shin, “Unsupervised segmentation of noisy and inhomogeneous images using global region statistics with non-convex regularization,” Digital Signal Processing, 2016. View at Publisher · View at Google Scholar
  • M. Ilyas, N. Abbas, M. UbaidUllah, Waqas A. Imtiaz, M. A. Q. Shah, and K. Mahmood, “Control Law Design for Twin Rotor MIMO System with Nonlinear Control Strategy,” Discrete Dynamics in Nature and Society, vol. 2016, pp. 1–10, 2016. View at Publisher · View at Google Scholar
  • H. C. Choi, “Latent codebook regression for facial feature localisation,” Electronics Letters, vol. 52, no. 9, pp. 703–704, 2016. View at Publisher · View at Google Scholar
  • Hyojin Park, Christoph Kayser, Gregor Thut, and Joachim Gross, “Lip movements entrain the observers’ low-frequency brain oscillations to facilitate speech intelligibility,” eLife, vol. 5, 2016. View at Publisher · View at Google Scholar
  • Bernhard P Staresina, Sebastian Michelmann, Mathilde Bonnefond, Ole Jensen, Nikolai Axmacher, and Juergen Fell, “Hippocampal pattern completion is linked to gamma power increases and alpha power decreases during recollection,” eLife, vol. 5, 2016. View at Publisher · View at Google Scholar
  • Shuihua Wang, Ming Yang, Yin Zhang, Jianwu Li, Ling Zou, Siyuan Lu, Bin Liu, Jiquan Yang, and Yudong Zhang, “Detection of Left-Sided and Right-Sided Hearing Loss via Fractional Fourier Transform,” Entropy, vol. 18, no. 5, pp. 194, 2016. View at Publisher · View at Google Scholar
  • Chun-Sheng Liang, Feng-Kui Duan, Ke-Bin He, and Yong-Liang Ma, “Review on recent progress in observations, source identifications and countermeasures of PM2.5,” Environment International, vol. 86, pp. 150–170, 2016. View at Publisher · View at Google Scholar
  • Shahar Arzy, and Roey Schurr, ““God has sent me to you”: Right temporal epilepsy, left prefrontal psychosis,” Epilepsy & Behavior, vol. 60, pp. 7–10, 2016. View at Publisher · View at Google Scholar
  • Tingkai Cui, Peizhong Peter Wang, Shengxin Liu, and Xin Zhang, “P300 amplitude and latency in autism spectrum disorder: a meta-analysis,” European Child & Adolescent Psychiatry, 2016. View at Publisher · View at Google Scholar
  • Mengyuan Gong, Feitong Yang, and Sheng Li, “Reward association facilitates distractor suppression in human visual search,” European Journal of Neuroscience, vol. 43, no. 7, pp. 942–953, 2016. View at Publisher · View at Google Scholar
  • Michael De Pretto, Etienne Sallard, and Lucas Spierer, “State dependency of inhibitory control performance: an electrical neuroimaging study,” European Journal of Neuroscience, 2016. View at Publisher · View at Google Scholar
  • Zachary D. Langford, Ruth M. Krebs, Durk Talsma, Marty G. Woldorff, and C. N. Boehler, “Strategic down-regulation of attentional resources as a mechanism of proactive response inhibition,” European Journal of Neuroscience, vol. 44, no. 4, pp. 2095–2103, 2016. View at Publisher · View at Google Scholar