Brain Informatics: 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings (Lecture Notes in Artificial Intelligence Book 12241)

This book constitutes the refereed proceedings of the 13th International Conference on Brain Informatics, BI 2020, held in Padua, Italy, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 33 full papers were carefully reviewed and selected from 57 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; investigations of human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing. Front Matter ....Pages I-XIV Front Matter ....Pages 1-1 An Adaptive Computational Fear-Avoidance Model Applied to Genito-Pelvic Pain/Penetration Disorder (Sophie van’t Hof, Arja Rydin, Jan Treur, Paul Enzlin)....Pages 3-15 Are We Producing Narci-nials? An Adaptive Agent Model for Parental Influence (Fakhra Jabeen, Charlotte Gerritsen, Jan Treur)....Pages 16-28 A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data (Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi)....Pages 29-40 The Effect of Loss-Aversion on Strategic Behaviour of Players in Divergent Interest Tacit Coordination Games (Dor Mizrahi, Ilan Laufer, Inon Zuckerman)....Pages 41-49 Effect of the Gamma Entrainment Frequency in Pertinence to Mood, Memory and Cognition (Ryan Sharpe, Mufti Mahmud)....Pages 50-61 Front Matter ....Pages 63-63 Temporal-Spatial-Spectral Investigation of Brain Network Dynamics in Human Speech Perception (Bin Zhao, Gaoyan Zhang, Jianwu Dang)....Pages 65-74 Precise Estimation of Resting State Functional Connectivity Using Empirical Mode Decomposition (Sukesh Das, Anil K. Sao, Bharat Biswal)....Pages 75-84 3D DenseNet Ensemble in 4-Way Classification of Alzheimer’s Disease (Juan Ruiz, Mufti Mahmud, Md Modasshir, M. Shamim Kaiser, for the Alzheimer’s Disease Neuroimaging Initiative)....Pages 85-96 Dynamic Functional Connectivity Captures Individuals’ Unique Brain Signatures (Rohan Gandhi, Arun Garimella, Petri Toiviainen, Vinoo Alluri)....Pages 97-106 Differential Effects of Trait Empathy on Functional Network Centrality (Vishnu Moorthigari, Emily Carlson, Petri Toiviainen, Elvira Brattico, Vinoo Alluri)....Pages 107-117 Classification of PTSD and Non-PTSD Using Cortical Structural Measures in Machine Learning Analyses—Preliminary Study of ENIGMA-Psychiatric Genomics Consortium PTSD Workgroup (Brian O’Leary, Chia-Hao Shih, Tian Chen, Hong Xie, Andrew S. Cotton, Kevin S. Xu et al.)....Pages 118-127 Segmentation of Brain Tumor Tissues in Multi-channel MRI Using Convolutional Neural Networks (C. Naveena, S. Poornachandra, V. N. Manjunath Aradhya)....Pages 128-137 Front Matter ....Pages 139-139 Resolving Neuroscience Questions Using Ontologies and Templates (Aref Eshghishargh, Kathleen Gray, Scott C. Kolbe)....Pages 141-150 Machine Learning in Analysing Invasively Recorded Neuronal Signals: Available Open Access Data Sources (Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi)....Pages 151-162 Automatic Detection of Epileptic Waves in Electroencephalograms Using Bag of Visual Words and Machine Learning (Marlen Sofía Muñoz, Camilo Ernesto Sarmiento Torres, Diego M. López, Ricardo Salazar-Cabrera, Rubiel Vargas-Cañas)....Pages 163-172 UPDRS Label Assignment by Analyzing Accelerometer Sensor Data Collected from Conventional Smartphones (Md. Sakibur Rahman Sajal, Md. Tanvir Ehsan, Ravi Vaidyanathan, Shouyan Wang, Tipu Aziz, Khondaker A. Mamun)....Pages 173-182 Effectiveness of Employing Multimodal Signals in Removing Artifacts from Neuronal Signals: An Empirical Analysis (Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi)....Pages 183-193 A Machine Learning Based Fall Detection for Elderly People with Neurodegenerative Disorders (Nazmun Nahar, Mohammad Shahadat Hossain, Karl Andersson)....Pages 194-203 Machine Learning Based Early Fall Detection for Elderly People with Neurological Disorder Using Multimodal Data Fusion (Md. Nahiduzzaman, Moumitu Tasnim, Nishat Tasnim Newaz, M. Shamim Kaiser, Mufti Mahmud)....Pages 204-214 Front Matter ....Pages 215-215 A Computational Model for Simultaneous Employment of Multiple Emotion Regulation Strategies (Bas Chatel, Atke Visser, Nimat Ullah)....Pages 217-226 Deep LSTM Recurrent Neural Network for Anxiety Classification from EEG in Adolescents with Autism (Brian Penchina, Avirath Sundaresan, Sean Cheong, Adrien Martel)....Pages 227-238 Improving Alcoholism Diagnosis: Comparing Instance-Based Classifiers Against Neural Networks for Classifying EEG Signal (Shelia Rahman, Tanusree Sharma, Mufti Mahmud)....Pages 239-250 A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence (Md. Hasan Al Banna, Tapotosh Ghosh, Kazi Abu Taher, M. Shamim Kaiser, Mufti Mahmud)....Pages 251-262 Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19 (Sabrina Jesmin, M. Shamim Kaiser, Mufti Mahmud)....Pages 263-274 Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder (M. Jaber Al Nahian, Tapotosh Ghosh, Mohammed Nasir Uddin, Md. Maynul Islam, Mufti Mahmud, M. Shamim Kaiser)....Pages 275-286 Speech Emotion Recognition in Neurological Disorders Using Convolutional Neural Network (Sharif Noor Zisad, Mohammad Shahadat Hossain, Karl Andersson)....Pages 287-296 Towards Improved Detection of Cognitive Performance Using Bidirectional Multilayer Long-Short Term Memory Neural Network (Md. Shahriare Satu, Shelia Rahman, Md. Imran Khan, Mohammad Zoynul Abedin, M. Shamim Kaiser, Mufti Mahmud)....Pages 297-306 Front Matter ....Pages 307-307 Comparative Study of Wet and Dry Systems on EEG-Based Cognitive Tasks (Taweesak Emsawas, Tsukasa Kimura, Ken-ichi Fukui, Masayuki Numao)....Pages 309-318 Recall Performance Improvement in a Bio-Inspired Model of the Mammalian Hippocampus (Nikolaos Andreakos, Shigang Yue, Vassilis Cutsuridis)....Pages 319-328 Canonical Retina-to-Cortex Vision Model Ready for Automatic Differentiation (Qiang Li, Jesus Malo)....Pages 329-337 An Optimized Self-adjusting Model for EEG Data Analysis in Online Education Processes (Hao Lan Zhang, Sanghyuk Lee, Jing He)....Pages 338-348 Sequence Learning in Associative Neuronal-Astrocytic Networks (Leo Kozachkov, Konstantinos P. Michmizos)....Pages 349-360 EEG Based Sleep-Wake Classification Using JOPS Algorithm (Abdullah Al-Mamun Bulbul, Md. Abdul Awal, Kumar Debjit)....Pages 361-371 Back Matter ....Pages 373-378