AIMC Topic: Nerve Net

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Brain networks and intelligence: A graph neural network based approach to resting state fMRI data.

Medical image analysis Dec 16, 2024
Resting-state functional magnetic resonance imaging (rsfMRI) is a powerful tool for investigating the relationship between brain function and cognitive processes as it allows for the functional organization of the brain to be captured without relying...
Male Adolescent Humans Intelligence Magnetic Resonance Imaging Neural Networks, Computer Nerve Net Brain Mapping Brain Graph Neural Networks Female
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An Artificial Neural Network for Image Classification Inspired by the Aversive Olfactory Learning Neural Circuit in Caenorhabditis elegans.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Dec 16, 2024
This study introduces an artificial neural network (ANN) for image classification task, inspired by the aversive olfactory learning neural circuit in Caenorhabditis elegans (C. elegans). Although artificial neural networks (ANNs) have demonstrated re...
Nerve Net Caenorhabditis elegans Neural Networks, Computer Learning Animals Smell
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Damage explains function in spiking neural networks representing central pattern generator.

Journal of neural engineering Dec 16, 2024
Complex biological systems have evolved to control movement dynamics despite noisy and unpredictable inputs and processing delays that necessitate forward predictions. The staple example in vertebrates is the locomotor control emerging from interacti...
Locomotion Nerve Net Central Pattern Generators Models, Neurological Action Potentials Cats Computer Simulation Animals Neural Networks, Computer
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Adapting to time: Why nature may have evolved a diverse set of neurons.

PLoS computational biology Dec 13, 2024
Brains have evolved diverse neurons with varying morphologies and dynamics that impact temporal information processing. In contrast, most neural network models use homogeneous units that vary only in spatial parameters (weights and biases). To explor...
Computational Biology Models, Neurological Action Potentials Adaptation, Physiological Biological Evolution Neurons Nerve Net Neural Networks, Computer Brain Animals Humans
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Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization.

PLoS computational biology Dec 13, 2024
Neurons in the brain have rich and adaptive input-output properties. Features such as heterogeneous f-I curves and spike frequency adaptation are known to place single neurons in optimal coding regimes when facing changing stimuli. Yet, it is still u...
Models, Neurological Action Potentials Neurons Nerve Net Adaptation, Physiological Brain Computer Simulation Animals Computational Biology Humans Neural Networks, Computer Algorithms
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Time-Frequency functional connectivity alterations in Alzheimer's disease and frontotemporal dementia: An EEG analysis using machine learning.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Dec 12, 2024
OBJECTIVE: Alzheimer's disease (AD) and frontotemporal dementia (FTD) are prevalent neurodegenerative diseases characterized by altered brain functional connectivity (FC), affecting over 100 million people worldwide. This study aims to identify disti...
Middle Aged Female Humans Aged Nerve Net Support Vector Machine Alzheimer Disease Male Machine Learning Electroencephalography Frontotemporal Dementia Brain
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Signed Curvature Graph Representation Learning of Brain Networks for Brain Age Estimation.

IEEE journal of biomedical and health informatics Dec 5, 2024
Graph Neural Networks (GNNs) play a pivotal role in learning representations of brain networks for estimating brain age. However, the over-squashing impedes interactions between long-range nodes, hindering the ability of message-passing mechanism-bas...
Humans Female Aged Aged, 80 and over Young Adult Neural Networks, Computer Algorithms Brain Nerve Net Middle Aged Adolescent Adult Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Aging
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A Machine learning classification framework using fused fractal property feature vectors for Alzheimer's disease diagnosis.

Brain research Dec 3, 2024
Alzheimer's disease (AD) profoundly affects brain tissue and network structures. Analyzing the topological properties of these networks helps to understand the progression of the disease. Most studies focus on single-scale brain networks, but few add...
Alzheimer Disease Gray Matter Nerve Net Fractals Aged, 80 and over Male Magnetic Resonance Imaging Brain Female Aged Humans Machine Learning
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LCGNet: Local Sequential Feature Coupling Global Representation Learning for Functional Connectivity Network Analysis With fMRI.

IEEE transactions on medical imaging Dec 2, 2024
Analysis of functional connectivity networks (FCNs) derived from resting-state functional magnetic resonance imaging (rs-fMRI) has greatly advanced our understanding of brain diseases, including Alzheimer's disease (AD) and attention deficit hyperact...
Alzheimer Disease Nerve Net Attention Deficit Disorder with Hyperactivity Humans Male Neural Networks, Computer Female Image Processing, Computer-Assisted Machine Learning Adult Magnetic Resonance Imaging Brain
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Brain Network Classification for Accurate Detection of Alzheimer's Disease via Manifold Harmonic Discriminant Analysis.

IEEE transactions on neural networks and learning systems Dec 2, 2024
Mounting evidence shows that Alzheimer's disease (AD) manifests the dysfunction of the brain network much earlier before the onset of clinical symptoms, making its early diagnosis possible. Current brain network analyses treat high-dimensional networ...
Humans Aged Discriminant Analysis Alzheimer Disease Nerve Net Neural Networks, Computer Algorithms Brain
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