Electroencephalography

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Biosignal processing and computational methods to enhance sensory motor neuroprosthetics by Jose L. Pons

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The Role of Primary Motor Cortex as a Marker for and Modulator of Pain Control and Emotional-Affective Processing by Felipe Fregni

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Sleep Spindles: Breaking the Methodological Wall by Christian O'Reilly

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Biomechatronics: Harmonizing Mechatronic Systems with Human Beings

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Bridging the gap before and after birth: Methods and technologies to explore the functional neural development in humans by Marika Berchicci

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Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications

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Advances in Neuroimaging Data Processing

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Artificial Neural Networks for IoT-Enabled Smart Applications

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Neuroimaging Neurobiology, Multimodal and Network Applications

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Cognitive and Brain Plasticity Induced by Physical Exercise, Cognitive Training, Video Games and Combined Interventions by Claudia Voelcker-Rehage

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New Frontiers in Brain Computer Interfaces

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The cognitive and neural organisation of speech processing by Patti Adank

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Facing the Other: Novel Theories and Methods in Face Perception Research by Mark A. Williams

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Manipulative approaches to human brain dynamics by Takashi Hanakawa

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Machine Learning for Brain Disorders

Table of Contents: “…A Non-Technical Introduction to Machine Learning -- Classic Machine Learning Methods -- Deep Learning: Basics and Convolutional Neural Networks (CNN) -- Recurrent Neural Networks (RNN) - Architectures, Training Tricks, and Introduction to Influential Research -- Generative Adversarial Networks and Other Generative Models -- Transformers and Visual Transformers -- Clinical Assessment of Brain Disorders -- Neuroimaging in Machine Learning for Brain Disorders -- Electroencephalography and Magnetoencephalography -- Working with Omics Data, An Interdisciplinary Challenge at the Crossroads of Biology and Computer Science -- Electronic Health Records as Source of Research Data -- Mobile Devices, Connected Objects, and Sensors -- Medical Image Segmentation using Deep Learning -- Image Registration: Fundamentals and Recent Advances Based on Deep Learning -- Computer-Aided Diagnosis and Prediction in Brain Disorders -- Subtyping Brain Diseases from Imaging Data -- Data-Driven Disease Progression Modelling -- Computational Pathology for Brain Disorders -- Integration of Multimodal Data -- Evaluating Machine Learning Models and their Diagnostic Value -- Reproducibility in Machine Learning for Medical Imaging -- Interpretability of Machine Learning Methods Applied to Neuroimaging -- A Regulatory Science Perspective on Performance Assessment of Machine Learning Algorithms in Imaging -- Main Existing Datasets for Open Brain Research on Humans -- Machine Learning for Alzheimer's Disease and Related Dementias -- Machine Learning for Parkinson's Disease and Related Disorders -- Machine Learning in Neuroimaging of Epilepsy -- Machine Learning in Multiple Sclerosis -- Machine Learning for Cerebrovascular Disorders -- The Role of Artificial Intelligence in Neuro-Oncology Imaging -- Machine Learning for Neurodevelopmental Disorders -- Machine Learning and BrainImaging for Psychiatric Disorders: New Perspectives.…”
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Brain Networks in Aging: Reorganization and Modulation by Interventions by Junfeng Sun

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Magnetoencephalography: an emerging neuroimaging tool for studying normal and abnormal human brain development by Patricia Ellen Grant

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Towards a New Cognitive Neuroscience: Modeling Natural Brain Dynamics by Klaus Gramann

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Trends in Neuroergonomics: A Comprehensive Overview by Thorsten O. Zander

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