AIMC Topic: Brain

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Magnetoencephalography Decoding Transfer Approach: From Deep Learning Models to Intrinsically Interpretable Models.

IEEE journal of biomedical and health informatics May 6, 2024
When decoding neuroelectrophysiological signals represented by Magnetoencephalography (MEG), deep learning models generally achieve high predictive performance but lack the ability to interpret their predicted results. This limitation prevents them f...
Magnetoencephalography Brain Deep Learning Signal Processing, Computer-Assisted Humans Algorithms
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EEG-Based Mental Workload Classification Method Based on Hybrid Deep Learning Model Under IoT.

IEEE journal of biomedical and health informatics May 6, 2024
Automatically detecting human mental workload to prevent mental diseases is highly important. With the development of information technology, remote detection of mental workload is expected. The development of artificial intelligence and Internet of ...
Humans Algorithms Signal Processing, Computer-Assisted Workload Internet of Things Wavelet Analysis Brain Deep Learning Electroencephalography
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Bias-reduced neural networks for parameter estimation in quantitative MRI.

Magnetic resonance in medicine May 4, 2024
PURPOSE: To develop neural network (NN)-based quantitative MRI parameter estimators with minimal bias and a variance close to the Cramér-Rao bound.
Image Processing, Computer-Assisted Magnetic Resonance Imaging Bias Brain Computer Simulation Reproducibility of Results Least-Squares Analysis Neuroimaging Humans Neural Networks, Computer Algorithms
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The Contribution of Explainable Machine Learning Algorithms Using ROI-based Brain Surface Morphology Parameters in Distinguishing Early-onset Schizophrenia From Bipolar Disorder.

Academic radiology May 3, 2024
RATIONALE AND OBJECTIVES: To differentiate early-onset schizophrenia (EOS) from early-onset bipolar disorder (EBD) using surface-based morphometry measurements and brain volumes using machine learning (ML) algorithms.
Humans Bipolar Disorder Magnetic Resonance Imaging Diagnosis, Differential Female Schizophrenia Machine Learning Male Image Interpretation, Computer-Assisted Algorithms Adolescent Brain
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Assessing the effectiveness of spatial PCA on SVM-based decoding of EEG data.

NeuroImage May 3, 2024
Principal component analysis (PCA) has been widely employed for dimensionality reduction prior to multivariate pattern classification (decoding) in EEG research. The goal of the present study was to provide an evaluation of the effectiveness of PCA o...
Electroencephalography Signal Processing, Computer-Assisted Evoked Potentials Humans Male Brain Female Support Vector Machine Young Adult Principal Component Analysis Adult
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A causal perspective on brainwave modeling for brain-computer interfaces.

Journal of neural engineering May 3, 2024
. Machine learning (ML) models have opened up enormous opportunities in the field of brain-computer Interfaces (BCIs). Despite their great success, they usually face severe limitations when they are employed in real-life applications outside a contro...
Brain Humans Electroencephalography Brain-Computer Interfaces Machine Learning Brain Waves Algorithms
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A sparse quantized hopfield network for online-continual memory.

Nature communications May 2, 2024
An important difference between brains and deep neural networks is the way they learn. Nervous systems learn online where a stream of noisy data points are presented in a non-independent, identically distributed way. Further, synaptic plasticity in t...
Neural Networks, Computer Algorithms Brain Deep Learning Humans Neuronal Plasticity Models, Neurological Memory
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AI, ageing and brain-work productivity: Technological change in professional Japanese chess.

PloS one May 2, 2024
Using Japanese professional chess (Shogi) players' records in the setting where various external factors are controlled in deterministic and finite games, this paper examines how and the extent to which the emergence of technological changes influenc...
Humans East Asian People Artificial Intelligence Japan Brain Male Aging Middle Aged Efficiency Female Aged Adult
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Identifying ADHD-Related Abnormal Functional Connectivity with a Graph Convolutional Neural Network.

Neural plasticity Apr 30, 2024
Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that is characterized by inattention, hyperactivity, and impulsivity. The neural mechanisms underlying ADHD remain inadequately understood, and current approaches...
Male Neural Pathways Female Humans Nerve Net Adolescent Young Adult Neural Networks, Computer Magnetic Resonance Imaging Attention Deficit Disorder with Hyperactivity Child Adult Brain Brain Mapping Attention
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Multi-kernel Learning Fusion Algorithm Based on RNN and GRU for ASD Diagnosis and Pathogenic Brain Region Extraction.

Interdisciplinary sciences, computational life sciences Apr 29, 2024
Autism spectrum disorder (ASD) is a complex, severe disorder related to brain development. It impairs patient language communication and social behaviors. In recent years, ASD researches have focused on a single-modal neuroimaging data, neglecting th...
Autism Spectrum Disorder Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Neuroimaging Neural Networks, Computer Machine Learning Algorithms Humans
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