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Citations to this Journal [7,217 citations: 1–100 of 6,294 articles]

Articles published in Computational Intelligence and Neuroscience have been cited 7,217 times. The following is a list of the 6,294 articles that have cited the articles published in Computational Intelligence and Neuroscience.

  • Eliahu Khalastchi, and Meir Kalech, “On Fault Detection and Diagnosis in Robotic Systems,” ACM Computing Surveys, vol. 51, no. 1, pp. 1–24, 2018. View at Publisher · View at Google Scholar
  • Davi Silva Rodrigues, Márcio Eduardo Delamaro, Cléber Gimenez Corrêa, and Fátima L. S. Nunes, “Using Genetic Algorithms in Test Data Generation,” ACM Computing Surveys, vol. 51, no. 2, pp. 1–23, 2018. View at Publisher · View at Google Scholar
  • Yahya H. Yassin, Francky Catthoor, Fabian Kloosterman, Jyh-Jang Sun, JoãO Couto, Per Gunnar Kjeldsberg, and Nick Van Helleputte, “Algorithm/Architecture Co-optimisation Technique for Automatic Data Reduction of Wireless Read-Out in High-Density Electrode Arrays,” ACM Transactions on Embedded Computing Systems, vol. 17, no. 3, pp. 1–19, 2018. View at Publisher · View at Google Scholar
  • Guangyong Chen, Fengyuan Zhu, and Pheng Ann Heng, “Large-Scale Bayesian Probabilistic Matrix Factorization with Memo-Free Distributed Variational Inference,” ACM Transactions on Knowledge Discovery from Data, vol. 12, no. 3, pp. 1–24, 2018. View at Publisher · View at Google Scholar
  • Maryam Kiani, Aylin Barzegar, and Seid H. Pourtakdoust, “Entropy-based adaptive attitude estimation,” Acta Astronautica, 2018. View at Publisher · View at Google Scholar
  • Jianwei Ren, Chunhua Chen, Hao Xu, and Qingqing Zhao, “An optimization model for the operations of a pallet pool with both radio-frequency identification–tagged pallets and non-tagged pallets,” Advances in Mechanical Engineering, vol. 10, no. 1, pp. 168781401774801, 2018. View at Publisher · View at Google Scholar
  • Ji-Hun Ha, Yong-Hyuk Kim, Hyo-Hyuc Im, Na-Young Kim, Sangjin Sim, and Yourim Yoon, “Error Correction of Meteorological Data Obtained with Mini-AWSs Based on Machine Learning,” Advances in Meteorology, vol. 2018, pp. 1–8, 2018. View at Publisher · View at Google Scholar
  • Rifqi O. Affan, Siyuan Huang, Stephen M. Cruz, Lee A. Holcomb, Edward Nguyen, and Ksenija Marinkovic, “High-intensity binge drinking is associated with alterations in spontaneous neural oscillations in young adults,” Alcohol, 2018. View at Publisher · View at Google Scholar
  • Yasser Al Hajjar, Abd El Salam Al Hajjar, Bassam Daya, and Pierre Chauvet, “Determinant characteristics in EEG signal based on bursts amplitude segmentation for predicting pathological outcomes of a premature newborn, with validation using ANN,” Analog Integrated Circuits and Signal Processing, 2018. View at Publisher · View at Google Scholar
  • Mahsa Malekmohammadi, Nicholas AuYong, Collin M. Price, Evangelia Tsolaki, Andrew E. Hudson, and Nader Pouratian, “Propofol-induced Changes in α-β Sensorimotor Cortical Connectivity,” Anesthesiology, vol. 128, no. 2, pp. 305–316, 2018. View at Publisher · View at Google Scholar
  • Clément Huneau, Marion Houot, Anne Joutel, Benoit Béranger, Christian Giroux, Habib Benali, and Hugues Chabriat, “Altered dynamics of neurovascular coupling in CADASIL,” Annals of Clinical and Translational Neurology, 2018. View at Publisher · View at Google Scholar
  • Wei Li, Luyao Zhu, Kun Guo, Yong Shi, and Yuanchun Zheng, “Build a Tourism-Specific Sentiment Lexicon Via Word2vec,” Annals of Data Science, 2018. View at Publisher · View at Google Scholar
  • Sonja Suntrup-Krueger, Corinna Ringmaier, Paul Muhle, Andreas Wollbrink, Andre Kemmling, Uta Hanning, Inga Claus, Tobias Warnecke, Inga Teismann, Christo Pantev, and Rainer Dziewas, “Randomized trial of transcranial direct current stimulation for poststroke dysphagia,” Annals of Neurology, 2018. View at Publisher · View at Google Scholar
  • Alessandro Lenci, “Distributional Models of Word Meaning,” Annual Review of Linguistics, vol. 4, no. 1, pp. 151–171, 2018. View at Publisher · View at Google Scholar
  • Przemysław Dolata, Mariusz Mrzygłód, and Jacek Reiner, “Double-stream Convolutional Neural Networks for Machine Vision Inspection of Natural Products,” Applied Artificial Intelligence, pp. 1–17, 2018. View at Publisher · View at Google Scholar
  • Bin Li, and Hong Fu, “Real Time Eye Detector with Cascaded Convolutional Neural Networks,” Applied Computational Intelligence and Soft Computing, vol. 2018, pp. 1–8, 2018. View at Publisher · View at Google Scholar
  • Mohamed El Mohadab, Belaid Bouikhalene, and Said Safi, “Predicting rank for scientific research papers using supervised learning,” Applied Computing and Informatics, 2018. View at Publisher · View at Google Scholar
  • Mohamed A. Tawhid, and Kevin B. Dsouza, “Hybrid Binary Bat Enhanced Particle Swarm Optimization Algorithm for solving feature selection problems,” Applied Computing and Informatics, 2018. View at Publisher · View at Google Scholar
  • P.M.R. Bento, J.A.N. Pombo, M.R.A. Calado, and S.J.P.S. Mariano, “A bat optimized neural network and wavelet transform approach for short-term price forecasting,” Applied Energy, vol. 210, pp. 88–97, 2018. View at Publisher · View at Google Scholar
  • Xu Chen, Bin Xu, Congli Mei, Yuhan Ding, and Kangji Li, “Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation,” Applied Energy, vol. 212, pp. 1578–1588, 2018. View at Publisher · View at Google Scholar
  • Zhen Zhu, Long Chen, Chaochun Yuan, and Changgao Xia, “Global replacement-based differential evolution with neighbor-based memory for dynamic optimization,” Applied Intelligence, 2018. View at Publisher · View at Google Scholar
  • Yinquan Zeng, Junmin Li, Simon Yang, and Erwei Ren, “A Bio-Inspired Control Strategy for Locomotion of a Quadruped Robot,” Applied Sciences, vol. 8, no. 1, pp. 56, 2018. View at Publisher · View at Google Scholar
  • Jason Ongpeng, Andres Oreta, and Sohichi Hirose, “Investigation on the Sensitivity of Ultrasonic Test Applied to Reinforced Concrete Beams Using Neural Network,” Applied Sciences, vol. 8, no. 3, pp. 405, 2018. View at Publisher · View at Google Scholar
  • Lianpeng Li, Lun Xie, Weize Li, Zhenzong Liu, and Zhiliang Wang, “Improved Deep Belief Networks (IDBN) Dynamic Model-Based Detection and Mitigation for Targeted Attacks on Heavy-Duty Robots,” Applied Sciences, vol. 8, no. 5, pp. 676, 2018. View at Publisher · View at Google Scholar
  • Chia-Hui Liu, Cheng-Jyun Lin, Ya-Han Hu, and Zi-Hung You, “Predicting the Failure of Dental Implants Using Supervised Learning Techniques,” Applied Sciences, vol. 8, no. 5, pp. 698, 2018. View at Publisher · View at Google Scholar
  • Niels Haumann, Marina Kliuchko, Peter Vuust, and Elvira Brattico, “Applying Acoustical and Musicological Analysis to Detect Brain Responses to Realistic Music: A Case Study,” Applied Sciences, vol. 8, no. 5, pp. 716, 2018. View at Publisher · View at Google Scholar
  • Xinming Zhang, Qiang Kang, Jinfeng Cheng, and Xia Wang, “A Novel Hybrid Algorithm Based on Biogeography-Based Optimization and Grey Wolf Optimizer,” Applied Soft Computing, 2018. View at Publisher · View at Google Scholar
  • R. Salazar-Varas, and Roberto A. Vazquez, “Evaluating Spiking Neural Models in the Classification of Motor Imagery EEG Signals using Short Calibration Sessions,” Applied Soft Computing, 2018. View at Publisher · View at Google Scholar
  • Samrat Hore, Aditya Chatterjee, and Anup Dewanji, “Improving variable neighborhood search to solve the traveling salesman problem,” Applied Soft Computing, 2018. View at Publisher · View at Google Scholar
  • Akash Saxena, Bhanu Pratap Soni, Rajesh Kumar, and Vikas Gupta, “Intelligent Grey Wolf Optimizer - Development and Application for Strategic Bidding in Uniform Price Spot Energy Market,” Applied Soft Computing, 2018. View at Publisher · View at Google Scholar
  • Amr Mossad, and A. A. Alazba, “Determination and prediction of standardized precipitation index (SPI) using TRMM data in arid ecosystems,” Arabian Journal of Geosciences, vol. 11, no. 6, 2018. View at Publisher · View at Google Scholar
  • Sukhvir Kaur, Shreelekha Pandey, and Shivani Goel, “Plants Disease Identification and Classification Through Leaf Images: A Survey,” Archives of Computational Methods in Engineering, 2018. View at Publisher · View at Google Scholar
  • Kashif Hussain, Mohd Najib Mohd Salleh, Shi Cheng, and Yuhui Shi, “Metaheuristic research: a comprehensive survey,” Artificial Intelligence Review, 2018. View at Publisher · View at Google Scholar
  • Fenny S. Zwart, Constance Th.W.M. Vissers, Roy P.C. Kessels, and Joseph H.R. Maes, “Implicit learning seems to come naturally for children with autism, but not for children with specific language impairment: Evidence from behavioral and ERP data,” Autism Research, 2018. View at Publisher · View at Google Scholar
  • Allan Campopiano, Stefon J.R. van Noordt, and Sidney J. Segalowitz, “STATSLAB: An open-source EEG toolbox for computing single-subject effects using robust statistics,” Behavioural Brain Research, 2018. View at Publisher · View at Google Scholar
  • Helene Gudi-Mindermann, Johanna M. Rimmele, Guido Nolte, Patrick Bruns, Andreas K. Engel, and Brigitte Röder, “Working memory training in congenitally blind individuals results in an integration of occipital cortex in functional networks,” Behavioural Brain Research, 2018. View at Publisher · View at Google Scholar
  • Paul Bosch, Mauricio Herrera, Julio López, and Sebastián Maldonado, “Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies,” Behavioural Neurology, vol. 2018, pp. 1–15, 2018. View at Publisher · View at Google Scholar
  • Saba Ajami, Amin Mahnam, and Vahid Abootalebi, “Development of a practical high frequency brain–computer interface based on steady-state visual evoked potentials using a single channel of EEG,” Biocybernetics and Biomedical Engineering, vol. 38, no. 1, pp. 106–114, 2018. View at Publisher · View at Google Scholar
  • Pietro Quaglio, Vahid Rostami, Emiliano Torre, and Sonja Grün, “Methods for identification of spike patterns in massively parallel spike trains,” Biological Cybernetics, 2018. View at Publisher · View at Google Scholar
  • Matthias J. Wieser, Anna Hambach, and Mathias Weymar, “Neurophysiological correlates of attentional bias for emotional faces in socially anxious individuals – Evidence from a visual search task and N2pc,” Biological Psychology, vol. 132, pp. 192–201, 2018. View at Publisher · View at Google Scholar
  • Robert D. Melara, Lesia M. Ruglass, Eric A. Fertuck, and Denise A. Hien, “Regulation of Threat in Post-traumatic Stress Disorder: Associations between Inhibitory Control and Dissociative Symptoms,” Biological Psychology, 2018. View at Publisher · View at Google Scholar
  • Melle J.W. van der Molen, Anita Harrewijn, and P. Michiel Westenberg, “Will they like me? Neural and behavioral responses to social-evaluative peer feedback in socially and non-socially anxious females,” Biological Psychology, vol. 135, pp. 18–28, 2018. View at Publisher · View at Google Scholar
  • Tomasz S. Ligeza, Marcin Maciejczyk, Patrycja Kałamała, Zbigniew Szygula, and Miroslaw Wyczesany, “Moderate-intensity exercise boosts the N2 neural inhibition marker: a randomized and counterbalanced ERP study with precisely controlled exercise intensity,” Biological Psychology, 2018. View at Publisher · View at Google Scholar
  • Nasir Rashid, Javaid Iqbal, Amna Javed, Mohsin I. Tiwana, and Umar Shahbaz Khan, “Design of Embedded System for Multivariate Classification of Finger and Thumb Movements Using EEG Signals for Control of Upper Limb Prosthesis,” BioMed Research International, vol. 2018, pp. 1–11, 2018. View at Publisher · View at Google Scholar
  • Usman Ghani, Muhammad Wasim, Umar Shahbaz Khan, Muhammad Mubasher Saleem, Ali Hassan, Nasir Rashid, Mohsin Islam Tiwana, Amir Hamza, and Amir Kashif, “Efficient FIR Filter Implementations for Multichannel BCIs Using Xilinx System Generator,” BioMed Research International, vol. 2018, pp. 1–9, 2018. View at Publisher · View at Google Scholar
  • Rajesh Singla, “Hybrid Brain–Computer Interface Paradigm — A Study,” Biomedical Engineering: Applications, Basis and Communications, pp. 1850022, 2018. View at Publisher · View at Google Scholar
  • M Fraschini, M Lai, M Demuru, M Puligheddu, G Floris, G Borghero, and F Marrosu, “Functional brain connectivity analysis in amyotrophic lateral sclerosis: an EEG source-space study,” Biomedical Physics & Engineering Express, vol. 4, no. 3, pp. 037004, 2018. View at Publisher · View at Google Scholar
  • Yaqub Jonmohamadi, and Suresh D Muthukumaraswamy, “Multi-band component analysis for EEG artifact removal and source reconstruction with application to gamma-band activity,” Biomedical Physics & Engineering Express, vol. 4, no. 3, pp. 035007, 2018. View at Publisher · View at Google Scholar
  • Mariana P Branco, Zachary V Freudenburg, Erik J Aarnoutse, Mariska J Vansteensel, and Nick F Ramsey, “Optimization of sampling rate and smoothing improves classification of high frequency power in electrocorticographic brain signals,” Biomedical Physics & Engineering Express, vol. 4, no. 4, pp. 045012, 2018. View at Publisher · View at Google Scholar
  • Mads Jochumsen, Imran Khan Niazi, Rasmus Wiberg Nedergaard, Muhammad Samran Navid, and Kim Dremstrup, “Effect of subject training on a movement-related cortical potential-based brain-computer interface,” Biomedical Signal Processing and Control, vol. 41, pp. 63–68, 2018. View at Publisher · View at Google Scholar
  • Kandala N.V.P.S. Rajesh, and Ravindra Dhuli, “Classification of imbalanced ECG beats using re-sampling techniques and AdaBoost ensemble classifier,” Biomedical Signal Processing and Control, vol. 41, pp. 242–254, 2018. View at Publisher · View at Google Scholar
  • Hüseyin Göksu, “EEG based epileptiform pattern recognition inside and outside the seizure states,” Biomedical Signal Processing and Control, vol. 43, pp. 204–215, 2018. View at Publisher · View at Google Scholar
  • Martin Schmidt, Mathias Baumert, Hagen Malberg, and Sebastian Zaunseder, “Iterative two-dimensional signal warping—Towards a generalized approach for adaption of one-dimensional signals,” Biomedical Signal Processing and Control, vol. 43, pp. 311–319, 2018. View at Publisher · View at Google Scholar
  • Ajayrama Kumaraswamy, Kazuki Kai, Hiroyuki Ai, Hidetoshi Ikeno, and Thomas Wachtler, “Spatial registration of neuron morphologies based on maximization of volume overlap,” BMC Bioinformatics, vol. 19, no. 1, 2018. View at Publisher · View at Google Scholar
  • Akinori Nakamura, Pablo Cuesta, Alberto Fernández, Yutaka Arahata, Kaori Iwata, Izumi Kuratsubo, Masahiko Bundo, Hideyuki Hattori, Takashi Sakurai, Koji Fukuda, Yukihiko Washimi, Hidetoshi Endo, Akinori Takeda, Kersten Diers, Ricardo Bajo, Fernando Maestú, Kengo Ito, and Takashi Kato, “Electromagnetic signatures of the preclinical and prodromal stages of Alzheimer’s disease,” Brain, 2018. View at Publisher · View at Google Scholar
  • Weixiang Zhao, Ruhong Wu, Suhong Wang, Haihui Qi, Yitao Qian, and Suinuan Wang, “Behavioral and neurophysiological abnormalities during cued continuous performance tasks in patients with mild traumatic brain injury,” Brain and Behavior, pp. e00966, 2018. View at Publisher · View at Google Scholar
  • Anne E. Keller, Margot J. Taylor, Evdokia Anagnostou, Elizabeth W. Pang, Alexandra Mogadam, and Jason P. Lerch, “Mental flexibility: An MEG investigation in typically developing children,” Brain and Cognition, vol. 120, pp. 58–66, 2018. View at Publisher · View at Google Scholar
  • Jana Klaus, and Dennis J.L.G. Schutter, “Non-invasive brain stimulation to investigate language production in healthy speakers: A meta-analysis,” Brain and Cognition, vol. 123, pp. 10–22, 2018. View at Publisher · View at Google Scholar
  • France Simard, and Geneviève Cadoret, “Neural correlates of active controlled retrieval development: An exploratory ERP study,” Brain and Cognition, vol. 124, pp. 20–28, 2018. View at Publisher · View at Google Scholar
  • Ayda Ghahremani, Jan R. Wessel, Kaviraja Udupa, Bogdan Neagu, Ping Zhuang, Utpal Saha, Suneil K. Kalia, Mojgan Hodaie, Andres M. Lozano, Adam R. Aron, and Robert Chen, “Stopping and slowing manual and spoken responses: Similar oscillatory signatures recorded from the subthalamic nucleus,” Brain and Language, vol. 176, pp. 1–10, 2018. View at Publisher · View at Google Scholar
  • Linda Drijvers, and Asli Özyürek, “Native language status of the listener modulates the neural integration of speech and iconic gestures in clear and adverse listening conditions,” Brain and Language, vol. 177-178, pp. 7–17, 2018. View at Publisher · View at Google Scholar
  • Laura Bechtold, Marta Ghio, Joachim Lange, and Christian Bellebaum, “Event-related desynchronization of mu and beta oscillations during the processing of novel tool names,” Brain and Language, vol. 177-178, pp. 44–55, 2018. View at Publisher · View at Google Scholar
  • Sophia Uddin, Shannon L.M. Heald, Stephen C. Van Hedger, and Howard C. Nusbaum, “Hearing sounds as words: Neural responses to environmental sounds in the context of fluent speech,” Brain and Language, vol. 179, pp. 51–61, 2018. View at Publisher · View at Google Scholar
  • Ao Chen, Varghese Peter, Frank Wijnen, Hugo Schnack, and Denis Burnham, “Are lexical tones musical? Native language’s influence on neural response to pitch in different domains,” Brain and Language, vol. 180-182, pp. 31–41, 2018. View at Publisher · View at Google Scholar
  • Susana Silva, Vasiliki Folia, Filomena Inácio, São Luís Castro, and Karl Magnus Petersson, “Modality effects in implicit Artificial Grammar Learning: an EEG study,” Brain Research, 2018. View at Publisher · View at Google Scholar
  • Juan Lei, Nadine Conradi, Cornelius Abel, Stefan Frisch, Alla Brodski-Guerniero, Marcel Hildner, Christian A. Kell, Jochen Kaiser, and Maren Schmidt-Kassow, “Cognitive effects of rhythmic auditory stimulation in Parkinson’s disease: A P300 study,” Brain Research, 2018. View at Publisher · View at Google Scholar
  • Rui Li, Xiaodong Zhang, Hanzhe Li, Liming Zhang, Zhufeng Lu, and Jiangcheng Chen, “An Approach for Brain-Controlled Prostheses Based on Scene Graph Steady-State Visual Evoked Potentials,” Brain Research, 2018. View at Publisher · View at Google Scholar
  • Aya Rezeika, Mihaly Benda, Piotr Stawicki, Felix Gembler, Abdul Saboor, and Ivan Volosyak, “Brain–Computer Interface Spellers: A Review,” Brain Sciences, vol. 8, no. 4, pp. 57, 2018. View at Publisher · View at Google Scholar
  • Sung Wook Chung, Nigel C. Rogasch, Kate E. Hoy, and Paul B. Fitzgerald, “The effect of single and repeated prefrontal intermittent theta burst stimulation on cortical reactivity and working memory,” Brain Stimulation, 2018. View at Publisher · View at Google Scholar
  • Stevan Nikolin, Donel Martin, Colleen K. Loo, and Tjeerd W. Boonstra, “Effects of TDCS dosage on working memory in healthy participants,” Brain Stimulation, 2018. View at Publisher · View at Google Scholar
  • Isabella Premoli, Julia Király, Florian Müller-Dahlhaus, Carl M. Zipser, Pierre Rossini, Christoph Zrenner, Ulf Ziemann, and Paolo Belardinelli, “Short-interval and long-interval intracortical inhibition of TMS-evoked EEG potentials,” Brain Stimulation, 2018. View at Publisher · View at Google Scholar
  • Christina Artemenko, Mojtaba Soltanlou, Thomas Dresler, Ann-Christine Ehlis, and Hans-Christoph Nuerk, “The neural correlates of arithmetic difficulty depend on mathematical ability: evidence from combined fNIRS and ERP,” Brain Structure and Function, 2018. View at Publisher · View at Google Scholar
  • Parvaneh Adibpour, Jessica Dubois, Marie-Laure Moutard, and Ghislaine Dehaene-Lambertz, “Early asymmetric inter-hemispheric transfer in the auditory network: insights from infants with corpus callosum agenesis,” Brain Structure and Function, 2018. View at Publisher · View at Google Scholar
  • Yifei He, Miriam Steines, Jens Sommer, Helge Gebhardt, Arne Nagels, Gebhard Sammer, Tilo Kircher, and Benjamin Straube, “Spatial–temporal dynamics of gesture–speech integration: a simultaneous EEG-fMRI study,” Brain Structure and Function, 2018. View at Publisher · View at Google Scholar
  • Konstantina Kalogianni, Andreas Daffertshofer, Frans C. T. van der Helm, Alfred C. Schouten, and Jan C. de Munck, “Disentangling Somatosensory Evoked Potentials of the Fingers: Limitations and Clinical Potential,” Brain Topography, 2018. View at Publisher · View at Google Scholar
  • Chiara Todaro, Laura Marzetti, Pedro A. Valdés Sosa, Pedro A. Valdés-Hernandez, and Vittorio Pizzella, “Mapping Brain Activity with Electrocorticography: Resolution Properties and Robustness of Inverse Solutions,” Brain Topography, 2018. View at Publisher · View at Google Scholar
  • Anthony T. Herdman, Alexander Moiseev, and Urs Ribary, “Localizing Event-Related Potentials Using Multi-source Minimum Variance Beamformers: A Validation Study,” Brain Topography, 2018. View at Publisher · View at Google Scholar
  • Jose M. Sanchez Bornot, KongFatt Wong-Lin, Alwani Liyana Ahmad, and Girijesh Prasad, “Robust EEG/MEG Based Functional Connectivity with the Envelope of the Imaginary Coherence: Sensor Space Analysis,” Brain Topography, 2018. View at Publisher · View at Google Scholar
  • Alireza Talesh Jafadideh, and Babak Mohammadzadeh Asl, “Spatio-temporal Reconstruction of Neural Sources Using Indirect Dominant Mode Rejection,” Brain Topography, 2018. View at Publisher · View at Google Scholar
  • Yiwen Li Hegner, Justus Marquetand, Adham Elshahabi, Silke Klamer, Holger Lerche, Christoph Braun, and Niels K. Focke, “Increased Functional MEG Connectivity as a Hallmark of MRI-Negative Focal and Generalized Epilepsy,” Brain Topography, 2018. View at Publisher · View at Google Scholar
  • Zdeněk Stachoň, Čeněk Šašinka, Jiří Čeněk, Zbyněk Štěrba, Stephan Angsuesser, Sara Irina Fabrikant, Radim Štampach, and Kamil Morong, “Cross-cultural differences in figure–ground perception of cartographic stimuli,” Cartography and Geographic Information Science, pp. 1–13, 2018. View at Publisher · View at Google Scholar
  • Stephen A. Allsop, Romy Wichmann, Fergil Mills, Anthony Burgos-Robles, Chia-Jung Chang, Ada C. Felix-Ortiz, Alienor Vienne, Anna Beyeler, Ehsan M. Izadmehr, Gordon Glober, Meghan I. Cum, Johanna Stergiadou, Kavitha K. Anandalingam, Kathryn Farris, Praneeth Namburi, Christopher A. Leppla, Javier C. Weddington, Edward H. Nieh, Anne C. Smith, Demba Ba, Emery N. Brown, and Kay M. Tye, “Corticoamygdala Transfer of Socially Derived Information Gates Observational Learning,” Cell, 2018. View at Publisher · View at Google Scholar
  • M.A. DeRousseau, J.R. Kasprzyk, and W.V. Srubar, “Computational design optimization of concrete mixtures: A review,” Cement and Concrete Research, vol. 109, pp. 42–53, 2018. View at Publisher · View at Google Scholar
  • Anton Tokariev, Susanna Stjerna, J Matias Palva, and Sampsa Vanhatalo, “Preterm Birth Changes Networks of Newborn Cortical Activity,” Cerebral Cortex, 2018. View at Publisher · View at Google Scholar
  • Fatemeh Khademi, Vladimir Royter, and Alireza Gharabaghi, “Distinct Beta-band Oscillatory Circuits Underlie Corticospinal Gain Modulation,” Cerebral Cortex, 2018. View at Publisher · View at Google Scholar
  • Anahid H Saradjian, Normand Teasdale, Jean Blouin, and Laurence Mouchnino, “Independent Early and Late Sensory Processes for Proprioceptive Integration When Planning a Step,” Cerebral Cortex, 2018. View at Publisher · View at Google Scholar
  • Angela I Renton, David R Painter, and Jason B Mattingley, “Differential Deployment of Visual Attention During Interactive Approach and Avoidance Behavior,” Cerebral Cortex, 2018. View at Publisher · View at Google Scholar
  • Felix Fischer, Florian Pieper, Edgar Galindo-Leon, Gerhard Engler, Claus C Hilgetag, and Andreas K Engel, “Intrinsic Functional Connectivity Resembles Cortical Architecture at Various Levels of Isoflurane Anesthesia,” Cerebral Cortex, 2018. View at Publisher · View at Google Scholar
  • Abbas Babajani-Feremi, Christen M. Holder, Shalini Narayana, Stephen P. Fulton, Asim F. Choudhri, Frederick A. Boop, and James W. Wheless, “Predicting postoperative language outcome using presurgical fMRI, MEG, TMS, and high gamma ECoG,” Clinical Neurophysiology, 2018. View at Publisher · View at Google Scholar
  • Rodolfo Abreu, Alberto Leal, Fernando Lopes da Silva, and Patrícia Figueiredo, “EEG synchronization measures predict epilepsy-related BOLD-fMRI fluctuations better than commonly used univariate metrics,” Clinical Neurophysiology, 2018. View at Publisher · View at Google Scholar
  • Sarah Schnitzler, Christian Johannes Hartmann, Stefan Jun Groiss, Lars Wojtecki, Alfons Schnitzler, Jan Vesper, and Jan Hirschmann, “Occurrence of Thalamic High Frequency Oscillations in Patients with Different Tremor Syndromes,” Clinical Neurophysiology, 2018. View at Publisher · View at Google Scholar
  • Danilo Bernardo, Hiroki Nariai, Shaun A. Hussain, Raman Sankar, Noriko Salamon, Darcy A. Krueger, Mustafa Sahin, Hope Northrup, E. Martina Bebin, and Joyce Y. Wu, “Visual and Semi-automatic Non-invasive Detection of Interictal Fast Ripples: A Potential Biomarker of Epilepsy in Children with Tuberous Sclerosis Complex,” Clinical Neurophysiology, 2018. View at Publisher · View at Google Scholar
  • Malcolm Proudfoot, Freek van Ede, Andrew Quinn, Giles L. Colclough, Joanne Wuu, Kevin Talbot, Michael Benatar, Mark W. Woolrich, Anna C. Nobre, and Martin R. Turner, “Impaired corticomuscular and interhemispheric cortical beta oscillation coupling in amyotrophic lateral sclerosis,” Clinical Neurophysiology, 2018. View at Publisher · View at Google Scholar
  • Stephan Meesters, Pauly Ossenblok, Albert Colon, Louis Wagner, Olaf Schijns, Paul Boon, Luc Florack, and Andrea Fuster, “Modeling of intracerebral interictal epileptic discharges: evidence for network interactions,” Clinical Neurophysiology, 2018. View at Publisher · View at Google Scholar
  • Riitta Hari, Sylvain Baillet, Gareth Barnes, Richard Burgess, Nina Forss, Joachim Gross, Matti Hämäläinen, Ole Jensen, Ryusuke Kakigi, François Mauguière, Nobukatzu Nakasato, Aina Puce, Gian-Luca Romani, Alfons Schnitzler, and Samu Taulu, “IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG),” Clinical Neurophysiology, 2018. View at Publisher · View at Google Scholar
  • G. Bhuvaneswari, and G. Manikandan, “An intelligent intrusion detection system for secure wireless communication using IPSO and negative selection classifier,” Cluster Computing, 2018. View at Publisher · View at Google Scholar
  • K. Ilamathi, and P. Rangarajan, “Intelligent computation techniques for optimization of the shortest path in an asynchronous network-on-chip,” Cluster Computing, 2018. View at Publisher · View at Google Scholar
  • S. Kayalvili, and M. Selvam, “Hybrid SFLA-GA algorithm for an optimal resource allocation in cloud,” Cluster Computing, 2018. View at Publisher · View at Google Scholar
  • Jie Xu, and Yang Liu, “CET-4 score analysis based on data mining technology,” Cluster Computing, 2018. View at Publisher · View at Google Scholar
  • Rajagopal Venkatesan, Balakrishnan Srinivasan, and Periyasamy Rajendiran, “Tiger hash based AdaBoost machine learning classifier for secured multicasting in mobile healthcare system,” Cluster Computing, 2018. View at Publisher · View at Google Scholar