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ORCID11th Brain Informatics 2018: Arlington, TX, USA
- Shouyi Wang, Vicky Yamamoto, Jianzhong Su, Yang Yang, Erick Jones, Leon D. Iasemidis, Tom M. Mitchell:
Brain Informatics - International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings. Lecture Notes in Computer Science 11309, Springer 2018, ISBN 978-3-030-05586-8
Cognitive and Computational Foundations of Brain Science
- Jie-Lin Qiu
, Xin-Yi Qiu, Kai Hu:
Emotion Recognition Based on Gramian Encoding Visualization. 3-12 - Pablo Andrés Muñoz-Gutiérrez, Juan David Martínez-Vargas, Sergio García-Vega, Eduardo Giraldo, Germán Castellanos-Domínguez:
EEG Based Brain Mapping by Using Frequency-Spatio-Temporal Constraints. 13-21 - Jianzhuo Yan, Sinuo Deng:
An EEG-Based Emotion Recognition Model with Rhythm and Time Characteristics. 22-31 - Ernesto Cuartas-Morales, Yohan Ricardo Céspedes Villar, Héctor Fabio Torres Cardona, Carlos Daniel Acosta, Germán Castellanos-Domínguez:
Influence of Realistic Head Modeling on EEG Forward Problem. 32-40 - Fawad Taj, Michel C. A. Klein, Aart van Halteren:
Computational Model for Reward-Based Generation and Maintenance of Motivation. 41-51 - Jing Qin, Yushan Wang, Wentai Liu:
Current Design with Minimum Error in Transcranial Direct Current Stimulation. 52-62 - Juan David Martínez-Vargas, Daniel Alexis Nieto-Mora, Pablo Andrés Muñoz-Gutiérrez, Y. R. Céspedes-Villar, Eduardo Giraldo, Germán Castellanos-Domínguez:
Assessment of Source Connectivity for Emotional States Discrimination. 63-73 - Denggui Fan, Jianzhong Su, Ariel Bowman:
Rich Dynamics Induced by Synchronization Varieties in the Coupled Thalamocortical Circuitry Model. 74-84
Human Information Processing Systems
- John L. Pfaltz:
Humans Have a Distributed, Molecular Long-Term Memory. 87-98 - Juana Valeria Hurtado-Rincón, Francia Restrepo, Jorge Ivan Padilla, Héctor Fabio Torres, Germán Castellanos-Domínguez:
Functional Connectivity Analysis Using the Oddball Auditory Paradigm for Attention Tasks. 99-108 - Christoforos Christoforou, Adamantini Hatzipanayioti, Marios N. Avraamides:
Perspective Taking vs Mental Rotation: CSP-Based Single-Trial Analysis for Cognitive Process Disambiguation. 109-118 - Myriam Alanis-Espinosa, David Gutiérrez:
Using the Partial Directed Coherence to Understand Brain Functional Connectivity During Movement Imagery Tasks. 119-128 - Nora E. Aguirre-Celis, Risto Miikkulainen:
Combining fMRI Data and Neural Networks to Quantify Contextual Effects in the Brain. 129-140 - Xiaofei Zhang, Yang Yang, Ming-Hui Zhang, Ning Zhong:
Network Analysis of Brain Functional Connectivity in Mental Arithmetic Using Task-Evoked fMRI. 141-152 - Ioannis Polykretis, Vladimir A. Ivanov, Konstantinos P. Michmizos:
The Astrocytic Microdomain as a Generative Mechanism for Local Plasticity. 153-162 - Debadatta Dash, Paul Ferrari, Saleem Malik, Albert Montillo, Joseph A. Maldjian, Jun Wang:
Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective. 163-172
Brain Big Data Analytics, Curation and Management
- Konrad A. Ciecierski:
Use of Temporal Attributes in Detection of Functional Areas in Basal Ganglia. 175-185 - Jorge Ivan Padilla-Buriticá, Héctor Fabio Torres, Ernesto Pereda, A. Correa, Germán Castellanos-Domínguez:
Influence of Time-Series Extraction on Binge Drinking Interpretability Using Functional Connectivity Analysis. 186-194 - Andrés Felipe Soler, Pablo Andrés Muñoz-Gutiérrez, Eduardo Giraldo:
Regularized State Observers for Source Activity Estimation. 195-204 - Jiating Zhu, Jiannong Cao:
Distributional Representation for Resting-State Functional Brain Connectivity Analysis. 205-215 - Konstantinos Patlatzoglou, Srivas Chennu, Mélanie Boly, Quentin Noirhomme, Vincent Bonhomme, Jean-François Brichant, Olivia Gosseries, Steven Laureys:
Deep Neural Networks for Automatic Classification of Anesthetic-Induced Unconsciousness. 216-225 - Murat Seçkin Ayhan, Vijay Raghavan:
Efficient and Automatic Subspace Relevance Determination via Multiple Kernel Learning for High-Dimensional Neuroimaging Data. 226-238 - Matthias Sebastian Treder:
Improving SNR and Reducing Training Time of Classifiers in Large Datasets via Kernel Averaging. 239-248 - Debadatta Dash, Bharat B. Biswal, Anil Kumar Sao, Jun Wang:
Automatic Recognition of Resting State fMRI Networks with Dictionary Learning. 249-259 - Badar Almarri, Chun-Hsi Huang:
Simultaneous EEG Analysis and Feature Extraction Selection Based on Unsupervised Learning. 260-269 - Rahilsadat Hosseini, Feng Liu, Shouyi Wang:
Construction of Sparse Weighted Directed Network (SWDN) from the Multivariate Time-Series. 270-281 - Christina Schweikert, Louis Gobin, Shuxiao Xie, Shinsuke Shimojo, D. Frank Hsu:
Preference Prediction Based on Eye Movement Using Multi-layer Combinatorial Fusion. 282-293 - Rohit Bose, Kumar Ashutosh, Junhua Li, Andrei Dragomir, Nitish V. Thakor, Anastasios Bezerianos:
A Multilayer Network Approach for Studying Creative Ideation from EEG. 294-303 - Feng Liu, Shouyi Wang, Jing Qin, Yifei Lou, Jay M. Rosenberger:
Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization. 304-316
Informatics Paradigms for Brain and Mental Health Research
- Maximiliano Bueno-López, Pablo Andrés Muñoz-Gutiérrez, Eduardo Giraldo, Marta Molinas:
Analysis of Epileptic Activity Based on Brain Mapping of EEG Adaptive Time-Frequency Decomposition. 319-328 - Wandeng Mao, Jing Zhu, Xiaowei Li, Xin Zhang, Shuting Sun:
Resting State EEG Based Depression Recognition Research Using Deep Learning Method. 329-338 - Shah Muhammad Hamdi, Yubao Wu, Soukaina Filali Boubrahimi, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris:
Tensor Decomposition for Neurodevelopmental Disorder Prediction. 339-348 - Marzieh Mousavian, Jianhua Chen, Steven G. Greening:
Feature Selection and Imbalanced Data Handling for Depression Detection. 349-358 - Jyoti Islam, Yanqing Zhang:
Deep Convolutional Neural Networks for Automated Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment Using 3D Brain MRI. 359-369 - Filip Dabek, Peter Hoover, Jesus Caban:
Evaluating Mental Health Encounters in mTBI: Identifying Patient Subgroups and Recommending Personalized Treatments. 370-380 - Filip Dabek, Peter Hoover, Jesus Caban:
DeepDx: A Deep Learning Approach for Predicting the Likelihood and Severity of Symptoms Post Concussion. 381-391 - Maritza Mera, Diego M. López, Rubiel Vargas-Cañas, María Miño:
Automatic Detection of Epileptic Spike in EEGs of Children Using Matched Filter. 392-402 - Anjum Ismail Sumi, Most. Fatematuz Zohora, Maliha Mahjabeen, Tasnova Jahan Faria, Mufti Mahmud, M. Shamim Kaiser:
fASSERT: A Fuzzy Assistive System for Children with Autism Using Internet of Things. 403-412 - Tajim Md. Niamat Ullah Akhund, Md. Julkar Nayeen Mahi, A. N. M. Hasnat Tanvir, Mufti Mahmud, M. Shamim Kaiser:
ADEPTNESS: Alzheimer's Disease Patient Management System Using Pervasive Sensors - Early Prototype and Preliminary Results. 413-422 - Kin Ming Puk, Wei Xiang, Shouyi Wang, Cao (Danica) Xiao, W. Art Chaovalitwongse, Tara M. Madhyastha, Thomas J. Grabowski:
Uncovering Dynamic Functional Connectivity of Parkinson's Disease Using Topological Features and Sparse Group Lasso. 423-434
Brain-Machine Intelligence and Brain-Inspired Computing
- Dor Mizrahi, Ilan Laufer, Inon Zuckerman, Tielin Zhang:
The Effect of Culture and Social Orientation on Player's Performances in Tacit Coordination Games. 437-447 - Oscar Chang:
Self-programming Robots Boosted by Neural Agents. 448-457 - Luis Alfredo Moctezuma, Marta Molinas:
EEG-Based Subjects Identification Based on Biometrics of Imagined Speech Using EMD. 458-467 - Matthew Shonman, Xiangyang Li, Haoruo Zhang, Anton Dahbura:
Simulating Phishing Email Processing with Instance-Based Learning and Cognitive Chunk Activation. 468-478 - Zigen Song, Melinda Baxter, Mingwu Jin, Jian-Xiong Wang, Ren-Cang Li, Talon Johnson, Jianzhong Su:
Sparse Sampling and Fully-3D Fast Total Variation Based Imaging Reconstruction for Chemical Shift Imaging in Magnetic Resonance Spectroscopy. 479-485 - Yi Huang, Peng Wen, Bo Song, Yan Li:
An Auto TCD Probe Design and Visualization. 486-495
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