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Citations to this Journal [4,482 citations: 1–100 of 3,896 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 4,482 times. The following is a list of the 3,896 articles that have cited the articles published in Computational Intelligence and Neuroscience.

  • Marjolein van der Waal, Jason Farquhar, Luciano Fasotti, and Peter Desain, “Preserved and attenuated electrophysiological correlates of visual spatial attention in elderly subjects,” Behavioural Brain Research, vol. 317, pp. 415–423, 2017. View at Publisher · View at Google Scholar
  • Alireza Ghaemi, Esmat Rashedi, Ali Mohammad Pourrahimi, Mehdi Kamandar, and Farhad Rahdari, “Automatic channel selection in EEG signals for classification of left or right hand movement in Brain Computer Interfaces using improved binary gravitation search algorithm,” Biomedical Signal Processing and Control, vol. 33, pp. 109–118, 2017. View at Publisher · View at Google Scholar
  • Felicitas Ehlen, Isabelle Vonberg, Hannes O. Tiedt, Andreas Horn, Ortwin Fromm, Andrea A. Kühn, and Fabian Klostermann, “Thalamic deep brain stimulation decelerates automatic lexical activation,” Brain and Cognition, vol. 111, pp. 34–43, 2017. View at Publisher · View at Google Scholar
  • Yang Hu, Thomas Palmé, and Olga Fink, “Fault detection based on signal reconstruction with Auto-Associative Extreme Learning Machines,” Engineering Applications of Artificial Intelligence, vol. 57, pp. 105–117, 2017. View at Publisher · View at Google Scholar
  • Alexander Klein, and Wolfgang Skrandies, “Total variation for the analysis of event-related potentials,” Journal of Neuroscience Methods, vol. 275, pp. 33–44, 2017. View at Publisher · View at Google Scholar
  • Eva M. Janssen, Sanne H.G. van der Ven, Anne H. van Hoogmoed, and Paul P.M. Leseman, “The effect of anticipated achievement feedback on students' semantic processing as indicated by the N400 cloze effect,” Learning and Instruction, vol. 47, pp. 80–90, 2017. View at Publisher · View at Google Scholar
  • Sergi Valverde, Arnau Oliver, Eloy Roura, Sandra González-Villà, Deborah Pareto, Joan C. Vilanova, Lluís Ramió-Torrentà, Àlex Rovira, and Xavier Lladó, “Automated tissue segmentation of MR brain images in the presence of white matter lesions,” Medical Image Analysis, vol. 35, pp. 446–457, 2017. View at Publisher · View at Google Scholar
  • Jinhui Tang, Xiangbo Shu, Zechao Li, Guo-Jun Qi, and Jingdong Wang, “Generalized Deep Transfer Networks for Knowledge Propagation in Heterogeneous Domains,” ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 12, no. 4s, pp. 1–22, 2016. View at Publisher · View at Google Scholar
  • Noel Nuo Wi Tay, János Botzheim, and Naoyuki Kubota, “Weighted Constraint Satisfaction for Smart Home Automation and Optimization,” Advances in Artificial Intelligence, vol. 2016, pp. 1–15, 2016. View at Publisher · View at Google Scholar
  • 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
  • Hoang Anh Pham, “Truss optimization with frequency constraints using enhanced differential evolution based on adaptive directional mutation and nearest neighbor comparison,” Advances in Engineering Software, vol. 102, pp. 142–154, 2016. View at Publisher · View at Google Scholar
  • Jinxing Lai, Houquan Liu, Junling Qiu, Haobo Fan, Qian Zhang, Zhinan Hu, and Junbao Wang, “Stress Analysis of CFG Pile Composite Foundation in Consolidating Saturated Mine Tailings Dam,” Advances in Materials Science and Engineering, vol. 2016, pp. 1–12, 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
  • Raechelle M. Gibson, Srivas Chennu, Davinia Fernández-Espejo, Lorina Naci, Adrian M. Owen, and Damian Cruse, “Somatosensory attention identifies both overt and covert awareness in disorders of consciousness,” Annals of Neurology, 2016. View at Publisher · View at Google Scholar
  • Jan Claassen, Angela Velazquez, Emma Meyers, Jens Witsch, M. Cristina Falo, Soojin Park, Sachin Agarwal, J. Michael Schmidt, Nicholas D. Schiff, Jacobo D. Sitt, Lionel Naccache, E. Sander Connolly, and Hans-Peter Frey, “Bedside quantitative electroencephalography improves assessment of consciousness in comatose subarachnoid hemorrhage patients,” Annals of Neurology, 2016. View at Publisher · View at Google Scholar
  • Hai B. Huang, Ren X. Li, Xiao R. Huang, Teik C. Lim, and Wei P. Ding, “Identification of vehicle suspension shock absorber squeak and rattle noise based on wavelet packet transforms and a genetic algorithm-support vector machine,” Applied Acoustics, vol. 113, pp. 137–148, 2016. View at Publisher · View at Google Scholar
  • Quratulain Rajput, Sajjad Haider, and Sayeed Ghani, “Lexicon-Based Sentiment Analysis of Teachers’ Evaluation,” Applied Computational Intelligence and Soft Computing, vol. 2016, pp. 1–12, 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
  • Alexandra Koulouri, Ville Rimpilaeinen, Mike Brookes, and Jari P. Kaipio, “Compensation of domain modelling errors in the inverse source problem of the Poisson equation: Application in electroencephalographic imaging,” Applied Numerical Mathematics, vol. 106, pp. 24–36, 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
  • 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
  • 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
  • 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
  • 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
  • Pawel Badura, and Wojciech Wieclawek, “Calibrating Level Set Approach by Granular Computing in Computed Tomography Abdominal Organs Segmentation,” Applied Soft Computing, 2016. View at Publisher · View at Google Scholar
  • Wael K. M. Alhajyaseen, Nedal T. Ratrout, Khaled J. Assi, and Amjad Abu Hassan, “The Integration of Dynamic Lane Grouping Technique and Signal Timing Optimization for Improving the Mobility of Isolated Intersections,” Arabian Journal for Science and Engineering, 2016. View at Publisher · View at Google Scholar
  • Yuwei He, Xiaohan Zou, Xichun Li, Juan Chen, Liang Jin, Fan Zhang, Boyang Yu, and Zhengyu Cao, “Activation of sodium channels by α-scorpion toxin, BmK NT1, produced neurotoxicity in cerebellar granule cells: an association with intracellular Ca2+ overloading,” Archives of Toxicology, 2016. View at Publisher · View at Google Scholar
  • Farhan Hassan Khan, Usman Qamar, and Saba Bashir, “Lexicon based semantic detection of sentiments using expected likelihood estimate smoothed odds ratio,” Artificial Intelligence Review, 2016. View at Publisher · View at Google Scholar
  • Tim H. W. Cornelissen, and Melissa L.-H. Võ, “Stuck on semantics: Processing of irrelevant object-scene inconsistencies modulates ongoing gaze behavior,” Attention, Perception, & Psychophysics, 2016. View at Publisher · View at Google Scholar
  • Robert M. G. Reinhart, Josh D. Cosman, Keisuke Fukuda, and Geoffrey F. Woodman, “Using transcranial direct-current stimulation (tDCS) to understand cognitive processing,” Attention, Perception, & Psychophysics, 2016. View at Publisher · View at Google Scholar
  • Russell G. Port, William Gaetz, Luke Bloy, Dah-Jyuu Wang, Lisa Blaskey, Emily S. Kuschner, Susan E. Levy, Edward S. Brodkin, and Timothy P.L. Roberts, “Exploring the relationship between cortical GABA concentrations, auditory gamma-band responses and development in ASD: Evidence for an altered maturational trajectory in ASD,” Autism Research, 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
  • Laurie A. Miller, Monica Ricci, Frank J. van Schalkwijk, Armin Mohamed, and Ysbrand D. van der Werf, “Determining the Relationship Between Sleep Architecture, Seizure Variables and Memory in Patients With Focal Epilepsy,” Behavioral Neuroscience, vol. 130, no. 3, pp. 316–324, 2016. View at Publisher · View at Google Scholar
  • Ilse M. Verweij, Yoshiyuki Onuki, Eus J. W. Van Someren, and Ysbrand D. Van der Werf, “Sleep to the Beat: A Nap Favours Consolidation of Timing,” Behavioral Neuroscience, vol. 130, no. 3, pp. 298–304, 2016. View at Publisher · View at Google Scholar
  • Ghulam Muhammad, Muhammad Hussain, Muneer Al-Hammadi, Hatim Aboalsamh, Hassan Mathkour, and Amir Saeed Malik, “Short-term and long-term memory analysis of learning using 2D and 3D educational contents,” Behaviour & Information Technology, pp. 1–10, 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
  • Zsófia Kardos, Andrea Kóbor, Ádám Takács, Brigitta Tóth, Roland Boha, Bálint File, and Márk Molnár, “Age-related characteristics of risky decision-making and progressive expectation formation,” Behavioural Brain Research, 2016. View at Publisher · View at Google Scholar
  • Suriya-Prakash Muthukrishnan, Navdeep Ahuja, Nalin Mehta, and Ratna Sharma, “Functional brain microstate predicts the outcome in a visuospatial working memory task,” Behavioural Brain Research, vol. 314, pp. 134–142, 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
  • Dongyun Geng, Weidong Zhou, Yanli Zhang, and Shujuan Geng, “Epileptic seizure detection based on improved wavelet neural networks in long-term intracranial EEG,” Biocybernetics And Biomedical Engineering, vol. 36, no. 2, pp. 375–384, 2016. View at Publisher · View at Google Scholar
  • Mohamed Elgendi, “Eventogram: A Visual Representation of Main Events in Biomedical Signals,” Bioengineering, vol. 3, no. 4, pp. 22, 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
  • Hannah Schoch, Arati S. Kreibich, Sarah L. Ferri, Rachel S. White, Dominique Bohorquez, Anamika Banerjee, Russell G. Port, Holly C. Dow, Lucero Cordero, Ashley A. Pallathra, Hyong Kim, Hongzhe Li, Warren B. Bilker, Shinji Hirano, Robert T. Schultz, Karin Borgmann-Winter, Chang-Gyu Hahn, Dirk Feldmeyer, Gregory C. Carlson, Ted Abel, and Edward S. Brodkin, “Sociability Deficits and Altered Amygdala Circuits in Mice Lacking Pcdh10, an Autism Associated Gene,” 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
  • Dominique Kessel, María J. García-Rubio, E. Kirstin González, Manuel Tapia, Sara López-Martín, Francisco J. Román, Almudena Capilla, Kenia Martínez, Roberto Colom, and Luis Carretié, “Working Memory Of Emotional Stimuli: Electrophysiological Characterization,” Biological Psychology, 2016. View at Publisher · View at Google Scholar
  • Nathalie Giroud, Ulrike Lemke, Philip Reich, Katarina L. Matthes, and Martin Meyer, “Longitudinal auditory learning facilitates auditory cognition as revealed by microstate analysis,” Biological Psychology, 2016. View at Publisher · View at Google Scholar
  • Rahib H. Abiyev, Nurullah Akkaya, Ersin Aytac, Irfan Günsel, and Ahmet Çağman, “Brain-Computer Interface for Control of Wheelchair Using Fuzzy Neural Networks,” BioMed Research International, vol. 2016, pp. 1–9, 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
  • Luis M. Soria Morillo, Juan A. Alvarez-Garcia, Luis Gonzalez-Abril, and Juan A. Ortega Ramírez, “Discrete classification technique applied to TV advertisements liking recognition system based on low-cost EEG headsets,” BioMedical Engineering OnLine, vol. 15, no. S1, 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
  • Tolga Esat Özkurt, “Estimation of nonlinear neural source interactions via sliced bicoherence,” Biomedical Signal Processing and Control, vol. 30, pp. 43–52, 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
  • 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
  • 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
  • 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
  • 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
  • Svetlana Pinet, Anne-Sophie Dubarry, and F.-Xavier Alario, “Response retrieval and motor planning during typing,” Brain and Language, vol. 159, pp. 74–83, 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
  • Chrysa D. Papadaniil, Vasiliki E. Kosmidou, Anthoula Tsolaki, Magda Tsolaki, Ioannis (Yiannis) Kompatsiaris, and Leontios J. Hadjileontiadis, “Cognitive MMN and P300 in Mild Cognitive Impairment and Alzheimer's Disease: A High Density EEG-3D Vector Field Tomography Approach,” Brain Research, 2016. View at Publisher · View at Google Scholar
  • Ioanna Zioga, Caroline Di Bernardi Luft, and Joydeep Bhattacharya, “Musical training shapes neural responses to melodic and prosodic expectation,” Brain Research, vol. 1650, pp. 267–282, 2016. View at Publisher · View at Google Scholar
  • Miwako Hisagi, Valerie L. Shafer, Shigeru Miyagawa, Hadas Kotek, Ayaka Sugawara, and Dimitrios Pantazis, “Second-Language Learning Effects on Automaticity of Speech Processing of Japanese Phonetic Contrasts: An MEG study,” Brain Research, 2016. View at Publisher · View at Google Scholar
  • Alianna Maren, “The Cluster Variation Method: A Primer for Neuroscientists,” Brain Sciences, vol. 6, no. 4, pp. 44, 2016. View at Publisher · View at Google Scholar
  • George M Opie, Nigel C Rogasch, Mitchell R Goldsworthy, Michael C Ridding, and John G Semmler, “Investigating TMS-EEG Indices of Long-Interval Intracortical Inhibition at Different Interstimulus Intervals,” Brain Stimulation, 2016. View at Publisher · View at Google Scholar
  • Manuel R. Mercier, Sophie Schwartz, Laurent Spinelli, Christoph M. Michel, and Olaf Blanke, “Dorsal and ventral stream contributions to form-from-motion perception in a patient with form-from motion deficit: a case report,” Brain Structure and Function, 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
  • Ingrida Antonova, Claudia van Swam, Daniela Hubl, Thomas Dierks, Inga Griskova-Bulanova, and Thomas Koenig, “Reaction Time in a Visual 4-Choice Reaction Time Task: ERP Effects of Motor Preparation and Hemispheric Involvement,” Brain Topography, vol. 29, no. 4, pp. 491–505, 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Nawel Jmail, Martine Gavaret, F. Bartolomei, P. Chauvel, Jean-Michel Badier, and Christian-G. Bénar, “Comparison of Brain Networks During Interictal Oscillations and Spikes on Magnetoencephalography and Intracerebral EEG,” Brain Topography, 2016. View at Publisher · View at Google Scholar