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Citations to this Journal [3,826 citations: 101–200 of 3,312 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 3,826 times. The following is a list of the 3,312 articles that have cited the articles published in Computational Intelligence and Neuroscience.

  • Kevin Kern, Georgios Naros, Christoph Braun, Daniel Weiss, and Alireza Gharabaghi, “Detecting a Cortical Fingerprint of Parkinson's Disease for Closed-Loop Neuromodulation,” Frontiers in Neuroscience, vol. 10, 2016. View at Publisher · View at Google Scholar
  • Marco Aiello, Carlo Cavaliere, and Marco Salvatore, “Hybrid PET/MR Imaging and Brain Connectivity,” Frontiers in Neuroscience, vol. 10, 2016. View at Publisher · View at Google Scholar
  • Giovanni Pellegrino, Alexis Machado, Nicolas von Ellenrieder, Satsuki Watanabe, Jeffery A. Hall, Jean-Marc Lina, Eliane Kobayashi, and Christophe Grova, “Hemodynamic Response to Interictal Epileptiform Discharges Addressed by Personalized EEG-fNIRS Recordings,” Frontiers in Neuroscience, vol. 10, 2016. View at Publisher · View at Google Scholar
  • Nathaniel J. Killian, Varadraj N. Vernekar, Steve M. Potter, and Jelena Vukasinovic, “A Device for Long-Term Perfusion, Imaging, and Electrical Interfacing of Brain Tissue In vitro,” Frontiers in Neuroscience, vol. 10, 2016. View at Publisher · View at Google Scholar
  • Anja Baenninger, Laura Diaz Hernandez, Kathryn Rieger, Judith M. Ford, Mara Kottlow, and Thomas Koenig, “Inefficient Preparatory fMRI-BOLD Network Activations Predict Working Memory Dysfunctions in Patients with Schizophrenia,” Frontiers in Psychiatry, vol. 7, 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
  • Guy Cheron, Géraldine Petit, Julian Cheron, Axelle Leroy, Anita Cebolla, Carlos Cevallos, Mathieu Petieau, Thomas Hoellinger, David Zarka, Anne-Marie Clarinval, and Bernard Dan, “Brain Oscillations in Sport: Toward EEG Biomarkers of Performance,” Frontiers in Psychology, vol. 7, 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
  • 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
  • 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
  • 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
  • Chiara Baston, Martina Mancini, Laura Rocchi, and Fay Horak, “Effects of Levodopa on Postural Strategies in Parkinson's disease,” Gait & Posture, 2016. View at Publisher · View at Google Scholar
  • Matthew A. Albrecht, Gareth Roberts, Greg Price, Joseph Lee, Rajan Iyyalol, and Mathew T. Martin-Iverson, “The Effects of Dexamphetamine on the Resting-State Electroencephalogram and Functional Connectivity,” Human Brain Mapping, vol. 37, no. 2, pp. 570–588, 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
  • Naomi S. Kort, Pablo Cuesta, John F. Houde, and Srikantan S. Nagarajan, “Bihemispheric network dynamics coordinating vocal feedback control,” Human Brain Mapping, 2016. View at Publisher · View at Google Scholar
  • Christophe Grova, Maria Aiguabella, Rina Zelmann, Jean-Marc Lina, Jeffery A. Hall, and Eliane Kobayashi, “Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy,” Human Brain Mapping, 2016. View at Publisher · View at Google Scholar
  • Samuel A. Inverso, Xin-Lin Goh, Linda Henriksson, Simo Vanni, and Andrew C. James, “From evoked potentials to cortical currents: Resolving V1 and V2 components using retinotopy constrained source estimation without fMRI,” Human Brain Mapping, 2016. View at Publisher · View at Google Scholar
  • Giovanni Pellegrino, Tanguy Hedrich, Rasheda Chowdhury, Jeffery A. Hall, Jean-Marc Lina, Francois Dubeau, Eliane Kobayashi, and Christophe Grova, “Source localization of the seizure onset zone from ictal EEG/MEG data,” Human Brain Mapping, 2016. View at Publisher · View at Google Scholar
  • John W. Kelly, Daniel P. Siewiorek, Asim Smailagic, and Wei Wang, “An Adaptive Filter for the Removal of Drifting Sinusoidal Noise Without a Reference,” IEEE Journal of Biomedical and Health Informatics, vol. 20, no. 1, pp. 213–221, 2016. View at Publisher · View at Google Scholar
  • Musa Peker, Baha Sen, and Dursun Delen, “A Novel Method for Automated Diagnosis of Epilepsy Using Complex-Valued Classifiers,” IEEE Journal of Biomedical and Health Informatics, vol. 20, no. 1, pp. 108–118, 2016. View at Publisher · View at Google Scholar
  • Hanwook Chung, Eric Plourde, and Benoit Champagne, “Discriminative Training of NMF Model Based on Class Probabilities for Speech Enhancement,” IEEE Signal Processing Letters, vol. 23, no. 4, pp. 502–506, 2016. View at Publisher · View at Google Scholar
  • Yinchen Song, Rafael A. Torres, Sarahy Garcia, Yisel Frometa, Jihye Bae, Abhay Deshmukh, Wei-Chiang Lin, Ying Zheng, and Jorge J. Riera, “Dysfunction of Neurovascular/Metabolic Coupling in Chronic Focal Epilepsy,” Ieee Transactions On Biomedical Engineering, vol. 63, no. 1, pp. 97–110, 2016. View at Publisher · View at Google Scholar
  • Marijn van Vliet, Nikolay Chumerin, Simon De Deyne, Jan Roelf Wiersema, Wim Fias, Gerrit Storms, and Marc M. Van Hulle, “Single-Trial ERP Component Analysis Using a Spatiotemporal LCMV Beamformer,” Ieee Transactions On Biomedical Engineering, vol. 63, no. 1, pp. 55–66, 2016. View at Publisher · View at Google Scholar
  • Hubert Cecotti, “Single-Trial Detection With Magnetoencephalography During a Dual-Rapid Serial Visual Presentation Task,” Ieee Transactions On Biomedical Engineering, vol. 63, no. 1, pp. 220–227, 2016. View at Publisher · View at Google Scholar
  • Bradley J. Edelman, Bryan Baxter, and Bin He, “EEG Source Imaging Enhances the Decoding of Complex Right-Hand Motor Imagery Tasks,” Ieee Transactions On Biomedical Engineering, vol. 63, no. 1, pp. 4–14, 2016. View at Publisher · View at Google Scholar
  • Bin Gao, Wai Lok Woo, Gui Yun Tian, and Hong Zhang, “Unsupervised Diagnostic and Monitoring of Defects Using Waveguide Imaging With Adaptive Sparse Representation,” Ieee Transactions On Industrial Informatics, vol. 12, no. 1, pp. 405–416, 2016. View at Publisher · View at Google Scholar
  • Antitza Dantcheva, Petros Elia, and Arun Ross, “What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics,” Ieee Transactions On Information Forensics And Security, vol. 11, no. 3, pp. 441–467, 2016. View at Publisher · View at Google Scholar
  • Kan Li, and Jose C. Principe, “The Kernel Adaptive Autoregressive-Moving-Average Algorithm,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 2, pp. 334–346, 2016. View at Publisher · View at Google Scholar
  • Farhan Riaz, Ali Hassan, Saad Rehman, Imran Khan Niazi, and Kim Dremstrup, “EMD-Based Temporal and Spectral Features for the Classification of EEG Signals Using Supervised Learning,” Ieee Transactions On Neural Systems And Rehabilitation Engineering, vol. 24, no. 1, pp. 28–35, 2016. View at Publisher · View at Google Scholar
  • Timothy Zeyl, Erwei Yin, Michelle Keightley, and Tom Chau, “Adding Real-Time Bayesian Ranks to Error-Related Potential Scores Improves Error Detection and Auto-Correction in a P300 Speller,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, no. 1, pp. 46–56, 2016. View at Publisher · View at Google Scholar
  • Wei Chen, Chunqi Chang, and Yong Hu, “Single-Trial Extraction of Pure Somatosensory Evoked Potential Based on Expectation Maximization Approach,” Ieee Transactions On Neural Systems And Rehabilitation Engineering, vol. 24, no. 1, pp. 10–19, 2016. View at Publisher · View at Google Scholar
  • Rui Zhang, Yuanqing Li, Yongyong Yan, Hao Zhang, Shaoyu Wu, Tianyou Yu, and Zhenghui Gu, “Control of a Wheelchair in an Indoor Environment Based on a Brain-Computer Interface and Automated Navigation,” Ieee Transactions On Neural Systems And Rehabilitation Engineering, vol. 24, no. 1, pp. 128–139, 2016. View at Publisher · View at Google Scholar
  • Sheng-Hsiou Hsu, Tim R. Mullen, Tzyy-Ping Jung, and Gert Cauwenberghs, “Real-Time Adaptive EEG Source Separation Using Online Recursive Independent Component Analysis,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, no. 3, pp. 309–319, 2016. View at Publisher · View at Google Scholar
  • Amar R. Marathe, Vernon J. Lawhern, Dongrui Wu, David Slayback, and Brent J. Lance, “Improved Neural Signal Classification in a Rapid Serial Visual Presentation Task Using Active Learning,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, no. 3, pp. 333–343, 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
  • A.N. Jha, B.K. Panigrahi, and Sheila Mahapatra, “Hybrid technique for optimal location and cost sizing of thyristor controlled series compensator to upgrade voltage stability,” IET Generation, Transmission & Distribution, 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
  • Vandana Sakhre, Uday Pratap Singh, and Sanjeev Jain, “FCPN Approach for Uncertain Nonlinear Dynamical System with Unknown Disturbance,” International Journal of Fuzzy Systems, 2016. View at Publisher · View at Google Scholar
  • Munsif Ali Jatoi, Nidal Kamel, Aamir Saeed Malik, Ibrahima Faye, Jose M. Bornot, and Tahamina Begum, “EEG-based brain source localization using visual stimuli,” International Journal of Imaging Systems and Technology, vol. 26, no. 1, pp. 55–64, 2016. View at Publisher · View at Google Scholar
  • Yaqub Jonmohamadi, Govinda R. Poudel, Carrie C. R. H. Innes, and Richard D. Jones, “Microsleeps are Associated with Stage-2 Sleep Spindles from Hippocampal-Temporal Network,” International Journal of Neural Systems, pp. 1650015, 2016. View at Publisher · View at Google Scholar
  • Erwei Yin, Timothy Zeyl, Rami Saab, Dewen Hu, Zongtan Zhou, and Tom Chau, “An Auditory-Tactile Visual Saccade-Independent P300 Brain-Computer Interface,” International Journal Of Neural Systems, vol. 26, no. 1, 2016. View at Publisher · View at Google Scholar
  • Dingguo Zhang, Fei Xu, Heng Xu, Peter B. Shull, and Xiangyang Zhu, “Quantifying Different Tactile Sensations Evoked by Cutaneous Electrical Stimulation Using Electroencephalography Features,” International Journal Of Neural Systems, vol. 26, no. 2, 2016. View at Publisher · View at Google Scholar
  • Yang Liu, Lixiong Xu, and Maozhen Li, “The Parallelization of Back Propagation Neural Network in MapReduce and Spark,” International Journal of Parallel Programming, 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
  • Warren Pettey, Damon Toth, Andrew Redd, Marjorie E. Carter, Matthew H. Samore, and Adi V. Gundlapalli, “Using Network Projections to Explore Co-incidence and Context in Large Clinical Datasets: Application to Homelessness Among U.S. Veterans,” Journal of Biomedical Informatics, 2016. View at Publisher · View at Google Scholar
  • Stephen A. Thompson, Balu Krishnan, Jorge Gonzalez-Martinez, Juan Bulacio, Lara Jehi, John Mosher, Andreas Alexopoulos, and Richard C. Burgess, “Interictal Infraslow Activity in Stereoelectroencephalography,” Journal of Clinical Neurophysiology, vol. 33, no. 2, pp. 141–148, 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
  • Bo-Cheng Kuo, Anna Christina Nobre, Gaia Scerif, and Duncan E. Astle, “Top–Down Activation of Spatiotopic Sensory Codes in Perceptual and Working Memory Search,” Journal of Cognitive Neuroscience, pp. 1–14, 2016. View at Publisher · View at Google Scholar
  • Hongye Wang, Anthony R. McIntosh, Natasa Kovacevic, Maria Karachalios, and Andrea B. Protzner, “Age-related Multiscale Changes in Brain Signal Variability in Pretask versus Posttask Resting-state EEG,” Journal of Cognitive Neuroscience, pp. 1–14, 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
  • J. Z. Wu, X. Yu, and W. Gao, “Distance computation of ontology vector for ontology similarity measuring and ontology mapping,” Journal of Difference Equations and Applications, pp. 1–12, 2016. View at Publisher · View at Google Scholar
  • Yuanliang Yan, Zhijie Xu, Shuang Dai, Long Qian, Lunquan Sun, and Zhicheng Gong, “Targeting autophagy to sensitive glioma to temozolomide treatment,” Journal Of Experimental & Clinical Cancer Research, vol. 35, 2016. View at Publisher · View at Google Scholar
  • Shriram Jagannathan, and Diego A. Donzis, “Reynolds and Mach number scaling in solenoidally-forced compressible turbulence using high-resolution direct numerical simulations,” Journal Of Fluid Mechanics, vol. 789, pp. 669–707, 2016. View at Publisher · View at Google Scholar
  • Chihua Ma, Angus G. Forbes, Daniel A. Llano, Tanya Berger-Wolf, and Robert V. Kenyon, “SwordPlots: Exploring Neuron Behavior within Dynamic Communities of Brain Networks,” Journal Of Imaging Science And Technology, vol. 60, no. 1, 2016. View at Publisher · View at Google Scholar
  • Bingkun Wang, Yongfeng Huang, Zhigang Yuan, and Xing Li, “A multi-granularity fuzzy computing model for sentiment classification of Chinese reviews,” Journal Of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1445–1460, 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
  • David A. Wood, “Hybrid bat flight optimization algorithm applied to complex wellbore trajectories highlights the relative contributions of metaheuristic components,” Journal of Natural Gas Science and Engineering, 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
  • Timothy Zeyl, Erwei Yin, Michelle Keightley, and Tom Chau, “Partially supervised P300 speller adaptation for eventual stimulus timing optimization: target confidence is superior to error-related potential score as an uncertain label,” Journal of Neural Engineering, vol. 13, no. 2, pp. 026008, 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
  • 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
  • Yvonne Blokland, Jason Farquhar, Jos Lerou, Jo Mourisse, Gert Jan Scheffer, Geert-Jan van Geffen, Loukianos Spyrou, and Jörgen Bruhn, “Decoding motor responses from the EEG during altered states of consciousness induced by propofol,” Journal of Neural Engineering, vol. 13, no. 2, pp. 026014, 2016. View at Publisher · View at Google Scholar
  • Carolina Migliorelli, Joan F Alonso, Sergio Romero, Miguel A Mañanas, Rafał Nowak, and Antonio Russi, “Influence of metallic artifact filtering on MEG signals for source localization during interictal epileptiform activity,” Journal of Neural Engineering, vol. 13, no. 2, pp. 026029, 2016. View at Publisher · View at Google Scholar
  • Sara Basso Moro, Marika Carrieri, Danilo Avola, Sabrina Brigadoi, Stefania Lancia, Andrea Petracca, Matteo Spezialetti, Marco Ferrari, Giuseppe Placidi, and Valentina Quaresima, “A novel semi-immersive virtual reality visuo-motor task activates ventrolateral prefrontal cortex: a functional near-infrared spectroscopy study,” Journal of Neural Engineering, vol. 13, no. 3, pp. 036002, 2016. View at Publisher · View at Google Scholar
  • Barbara Schorr, Winfried Schlee, Marion Arndt, and Andreas Bender, “Coherence in resting-state EEG as a predictor for the recovery from unresponsive wakefulness syndrome,” Journal of Neurology, 2016. View at Publisher · View at Google Scholar
  • Xiaojing Fang, Yuanchao Zhang, Yue Wang, Yuling Zhang, Jun Hu, Jian Wang, Jiuquan Zhang, and Tianzi Jiang, “Disrupted effective connectivity of the sensorimotor network in amyotrophic lateral sclerosis,” Journal Of Neurology, vol. 263, no. 3, pp. 508–516, 2016. View at Publisher · View at Google Scholar
  • Tabish A. Saifee, Mark J. Edwards, Panagiotis Kassavetis, and Tom Gilbertson, “Estimation of the phase response curve from Parkinsonian tremor,” Journal Of Neurophysiology, vol. 115, no. 1, pp. 310–323, 2016. View at Publisher · View at Google Scholar
  • Marco Cambiaghi, Anna Grosso, Ekaterina Likhtik, Raffaele Mazziotti, Giulia Concina, Annamaria Renna, Tiziana Sacco, Joshua A. Gordon, and Benedetto Sacchetti, “Higher-Order Sensory Cortex Drives Basolateral Amygdala Activity during the Recall of Remote, but Not Recently Learned Fearful Memories,” Journal Of Neuroscience, vol. 36, no. 5, pp. 1647–1659, 2016. View at Publisher · View at Google Scholar
  • Gerd T. Waldhauser, Verena Braun, and Simon Hanslmayr, “Episodic Memory Retrieval Functionally Relies on Very Rapid Reactivation of Sensory Information,” Journal Of Neuroscience, vol. 36, no. 1, pp. 251–260, 2016. View at Publisher · View at Google Scholar
  • MaryAnn P. Noonan, Nika Adamian, Alexandra Pike, Frida Printzlau, Ben M. Crittenden, and Mark G. Stokes, “Distinct Mechanisms for Distractor Suppression and Target Facilitation,” Journal Of Neuroscience, vol. 36, no. 6, pp. 1797–1807, 2016. View at Publisher · View at Google Scholar
  • Enea Francesco Pavone, Gaetano Tieri, Giulia Rizza, Emmanuele Tidoni, Luigi Grisoni, and Salvatore Maria Aglioti, “Embodying Others in Immersive Virtual Reality: Electro-Cortical Signatures of Monitoring the Errors in the Actions of an Avatar Seen from a First-Pers,” Journal Of Neuroscience, vol. 36, no. 2, pp. 268–279, 2016. View at Publisher · View at Google Scholar
  • Klaus Wimmer, Marc Ramon, Tatiana Pasternak, and Albert Compte, “Transitions between Multiband Oscillatory Patterns Characterize Memory-Guided Perceptual Decisions in Prefrontal Circuits,” Journal Of Neuroscience, vol. 36, no. 2, pp. 489–505, 2016. View at Publisher · View at Google Scholar
  • Molly J. Henry, Bjoern Herrmann, and Jonas Obleser, “Neural Microstates Govern Perception of Auditory Input without Rhythmic Structure,” Journal Of Neuroscience, vol. 36, no. 3, pp. 860–871, 2016. View at Publisher · View at Google Scholar
  • Nora A. Herweg, Thore Apitz, Gregor Leicht, Christioph Mulert, Lluis Fuentemilla, and Nico Bunzeck, “Theta-Alpha Oscillations Bind the Hippocampus, Prefrontal Cortex, and Striatum during Recollection: Evidence from Simultaneous EEG-fMRI,” Journal Of Neuroscience, vol. 36, no. 12, pp. 3579–3587, 2016. View at Publisher · View at Google Scholar
  • Gilles van Luijtelaar, Annika Luttjohann, Vladimir V. Makarov, Vladimir A. Maksimenko, Alexei A. Koronovskii, and Alexander E. Hramov, “Methods of automated absence seizure detection, interference by stimulation, and possibilities for prediction in genetic absence models,” Journal Of Neuroscience Methods, vol. 260, pp. 144–158, 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
  • Lena Trebaul, David Rudrauf, Anne-Sophie Job, Mihai Dragos Maliia, Irina Popa, Andrei Barborica, Lorella Minotti, Ioana Mîndruţă, Philippe Kahane, and Olivier David, “Stimulation artifact correction methodfor estimation of early cortico-cortical evoked potentials,” Journal of Neuroscience Methods, 2016. View at Publisher · View at Google Scholar
  • Tynan Stevens, Tim Bardouille, Gerhard Stroink, Shaun Boe, Steve Patterson, and Steven Beyea, “Fully Automated Quality Assurance and Localization of Volumetric MEG for Single-Subject Mapping,” Journal of Neuroscience Methods, 2016. View at Publisher · View at Google Scholar
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  • Rita Pasion, Tiago O. Paiva, Paulo Pedrosa, Hugo Gaspar, Beatriz Vasconcelos, Ana. C. Martins, Maria H. Amaral, João M. Nóbrega, Ricardo Páscoa, Carlos Fonseca, and Fernando Barbosa, “Assessing a novel polymer-wick based electrode for EEG neurophysiological research,” Journal of Neuroscience Methods, 2016. View at Publisher · View at Google Scholar
  • Chun-Hsien Hsu, Chia-Ying Lee, and Wei-Kuang Liang, “An improved method for measuring mismatch negativity using ensemble empirical mode decomposition,” Journal of Neuroscience Methods, vol. 264, pp. 78–85, 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
  • Emigdio Z-Flores, Leonardo Trujillo, Arturo Sotelo, Pierrick Legrand, and Luis N. Coria, “Regularity and Matching Pursuit Feature Extraction for the Detection of Epileptic Seizures,” Journal of Neuroscience Methods, 2016. View at Publisher · View at Google Scholar
  • Dorothee Coppieters 't Wallant, Vincenzo Muto, Giulia Gaggioni, Mathieu Jaspar, Sarah L. Chellappa, Christelle Meyer, Gilles Vandewalle, Pierre Maquet, and Christophe Phillips, “Automatic artifacts and arousals detection in whole-night sleep EEG recordings,” Journal Of Neuroscience Methods, vol. 258, pp. 124–133, 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
  • Lucas Sedeno, Blas Couto, Indira Garcia-Cordero, Margherita Melloni, Sandra Baez, Juan Pablo Morales Sepulveda, Daniel Fraiman, David Huepe, Esteban Hurtado, Diana Matallana, Rodrigo Kuljis, Teresa Torralva, Dante Chialvo, Mariano Sigman, Olivier Piguet, Facundo Manes, and Agustin Ibanez, “Brain Network Organization and Social Executive Performance in Frontotemporal Dementia,” Journal Of The International Neuropsychological Society, vol. 22, no. 2, pp. 250–262, 2016. View at Publisher · View at Google Scholar
  • Farhan Hassan Khan, Usman Qamar, and Saba Bashir, “SWIMS: Semi-Supervised Subjective Feature Weighting and Intelligent Model Selection for Sentiment Analysis,” Knowledge-Based Systems, 2016. View at Publisher · View at Google Scholar
  • Kevin J. Y. Lam, Marcel C. M. Bastiaansen, Ton Dijkstra, and Shirley-Ann Rueschemeyer, “Making sense: motor activation and action plausibility during sentence processing,” Language, Cognition and Neuroscience, pp. 1–11, 2016. View at Publisher · View at Google Scholar
  • M. Benbouriche, P. Renaud, J.-F. Pelletier, and P. De Loor, “Applications de la réalité virtuelle en psychiatrie légale : la perspective de l’autorégulation comme cadre théorique,” L'Encéphale, 2016. View at Publisher · View at Google Scholar
  • Ulises H. Rodriguez-Marmolejo, Miguel Mora-Gonzalez, Jesus Muñoz-Maciel, and Tania A. Ramirez-delreal, “FSD-HSO Optimization Algorithm for Closed Fringes Interferogram Demodulation,” Mathematical Problems in Engineering, vol. 2016, pp. 1–11, 2016. View at Publisher · View at Google Scholar
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