“Switch-Off” of Respiratory Sinus Arrhythmia May Be Associated With the Activation of an Oscillatory Source (Pacemaker) in the Brain Stem by Gert Pfurtscheller, Gert Pfurtscheller, Beate Rassler, Andreas R. Schwerdtfeger, Andreas R. Schwerdtfeger, Wolfgang Klimesch, Alexandre Andrade, Gerhard Schwarz, Julian F. Thayer

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Towards Personalised Mood Prediction and Explanation for Depression from Biophysical Data by Sobhan Chatterjee, Jyoti Mishra, Frederick Sundram, Partha Roop

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Molecular Crosstalk Between Circadian Rhythmicity and the Development of Neurodegenerative Disorders by Arastu Sharma, Sehyun Lee, Hoonseo Kim, Hargsoon Yoon, Shinwon Ha, Sung Ung Kang

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Toward a Biologically Plausible Model of LGN-V1 Pathways Based on Efficient Coding by Yanbo Lian, David B. Grayden, David B. Grayden, Tatiana Kameneva, Tatiana Kameneva, Hamish Meffin, Hamish Meffin, Anthony N. Burkitt

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Spatiotemporal phase slip patterns for visual evoked potentials, covert object naming tasks, and insight moments extracted from 256 channel EEG recordings by Ceon Ramon, Ceon Ramon, Uwe Graichen, Paolo Gargiulo, Paolo Gargiulo, Frank Zanow, Thomas R. Knösche, Jens Haueisen

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Classification of Motor Imagery Based on Multi-Scale Feature Extraction and the Channel-Temporal Attention Module by Runze Wu, Jing Jin, Ian Daly, Xingyu Wang, Andrzej Cichocki

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Verification of a Central Pacemaker in Brain Stem by Phase-Coupling Analysis Between HR Interval- and BOLD-Oscillations in the 0.10–0.15 Hz Frequency Band by Gert Pfurtscheller, Gert Pfurtscheller, Andreas R. Schwerdtfeger, Andreas R. Schwerdtfeger, Beate Rassler, Alexandre Andrade, Gerhard Schwarz, Gerhard Schwarz, Wolfgang Klimesch

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The NEF-SPA Approach as a Framework for Developing a Neurobiologically Inspired Spiking Neural Network Model for Speech Production by Bernd J. Kröger

“…Methods: Our neural model of speech production was developed within the Neural Engineering Framework (NEF), incorporating the concept of Semantic Pointer Architecture (SPA), which allows the construction of large-scale neural models of the functioning brain based on only a few essential and neurobiologically well-grounded modeling or construction elements (i.e., single spiking neuron elements, neural connections, neuron ensembles, state buffers, associative memories, modules for binding and unbinding of states, modules for time scale generation (oscillators) and ramp signal generation (integrators), modules for input signal processing, modules for action selection, etc.). …”
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Less Is More: Brain Functional Connectivity Empowered Generalizable Intention Classification With Task-Relevant Channel Selection by Haowei Lou, Zesheng Ye, Lina Yao, Yu Zhang

“…Electroencephalography (EEG) signals are gaining popularity in Brain-Computer Interface (BCI)-based rehabilitation and neural engineering applications thanks to their portability and availability. …”
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Bio-Inspired Adaptive Locomotion Control System for Online Adaptation of a Walking Robot on Complex Terrains by Potiwat Ngamkajornwiwat, Jettanan Homchanthanakul, Pitiwut Teerakittikul, Poramate Manoonpong

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First‐Principle Study of Bandgap Engineering and Optical Properties of Monolayer WSe2 in Second Near‐Infrared Windows by Ruoli Zhao, Ling Liu, Jiahui Pei, Changlong Liu, Tianyu Liu, Xiao‐Dong Zhang

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Segregated Dynamical Networks for Biological Motion Perception in the Mu and Beta Range Underlie Social Deficits in Autism by Julia Siemann, Anne Kroeger, Stephan Bender, Muthuraman Muthuraman, Michael Siniatchkin

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Engineered extracellular matrices facilitate brain organoids from human pluripotent stem cells by Ayşe J. Muñiz, Tuğba Topal, Michael D. Brooks, Angela Sze, Do Hoon Kim, Jacob Jordahl, Joe Nguyen, Paul H. Krebsbach, Masha G. Savelieff, Eva L. Feldman, Joerg Lahann

“…Interpretation Engineered EECM matrices represent a major advancement in neural engineering as they have the potential to significantly enhance the structural, cellular, and functional diversity that can be achieved in advanced brain models.…”
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Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration by Daqing Guo, Fengru Guo, Yangsong Zhang, Yangsong Zhang, Fali Li, Yang Xia, Peng Xu, Dezhong Yao

“…Owing to its superior characteristics, the SSVEP has been widely used in neural engineering and cognitive neuroscience studies. However, the underlying mechanisms of the SSVEP are not well understood. …”
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Generation of RAB39B knockout isogenic human embryonic stem cell lines to model RAB39B-mediated Parkinson's disease by Yujing Gao, Gabrielle R. Wilson, Kiymet Bozaoglu, Andrew G. Elefanty, Edouard G. Stanley, Mirella Dottori, Paul J. Lockhart

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Diagnostic value of cavernous sinus swelling and extrusion sign in cavernous sinus hemangioma by Guoqing Han, Zhifa Huang, Huanhuan Qiao, Wei Zhu, Xuejiang Yan, Ke Pu, Qingguo Li, Xiaoguang Tong

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Hallmarks of neurodegenerative disease: A systems pharmacology perspective by Peter Bloomingdale, Tatiana Karelina, Vidya Ramakrishnan, Suruchi Bakshi, Florence Véronneau‐Veilleux, Matthew Moye, Kazutaka Sekiguchi, Guy Meno‐Tetang, Aparna Mohan, R. Maithreye, Veena A. Thomas, Frank Gibbons, Antonio Cabal, Jean‐Marie Bouteiller, Hugo Geerts

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CT and MRI assessment and characterization using segmentation and 3D modeling techniques: applications to muscle, bone and brain by Paolo Gargiulo, Thordur Helgason, Ceon Ramon, Halldór Jónsson jr, Ugo Carraro

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Robust and reusable self-organized locomotion of legged robots under adaptive physical and neural communications by Tao Sun, Tao Sun, Zhendong Dai, Poramate Manoonpong, Poramate Manoonpong

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Efficient EEG frequency band selection techniques for a robust motor imagery based brain-computer interface by Kavitha P. Thomas

“…Recently, Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) have become a hot topic in the study of neural engineering, rehabilitation and brain science. BCIs translate human intentions into control signals to establish a direct communication channel between the human brain and output devices bypassing brain’s normal output pathway of nerves and muscles. …”
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