AIMC Topic: Attention

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Attention modeled as information in learning multisensory integration.

Neural networks : the official journal of the International Neural Network Society Feb 2, 2015
Top-down cognitive processes affect the way bottom-up cross-sensory stimuli are integrated. In this paper, we therefore extend a successful previous neural network model of learning multisensory integration in the superior colliculus (SC) by top-down...
Learning Animals Models, Neurological Attention Perception Humans Neural Networks, Computer
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Attentional Enhancement of Auditory Mismatch Responses: a DCM/MEG Study.

Cerebral cortex (New York, N.Y. : 1991) Jan 16, 2015
Despite similar behavioral effects, attention and expectation influence evoked responses differently: Attention typically enhances event-related responses, whereas expectation reduces them. This dissociation has been reconciled under predictive codin...
Magnetoencephalography Young Adult Evoked Potentials, Auditory Adult Auditory Perception Male Contingent Negative Variation Humans Nonlinear Dynamics Electroencephalography Neural Networks, Computer Acoustic Stimulation Attention Female Auditory Cortex Healthy Volunteers
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Enhancing realism in LiDAR scene generation with CSPA-DFN and linear cross-attention via Diffusion Transformer model.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Point cloud diffusion models have found extensive applications in autonomous driving and robotics. However, there is still a big gap between their generated LiDAR scene samples and real-world data in terms of visual quality. This discrepancy primaril...
Neural Networks, Computer Algorithms Robotics Remote Sensing Technology Humans Attention
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Urinary Metabolic Biomarkers of Attentional Control in Children With Attention-Deficit/Hyperactivity Disorder: A Dimensional Approach Through H NMR-Based Metabolomics.

NMR in biomedicine Aug 1, 2025
Enhancing the understanding of attention-deficit/hyperactivity disorder (ADHD) by linking biological processes with behavioral manifestations is a primary objective of the Research Domain Criteria (RDoC) framework, which aims to transcend traditional...
Child Female Attention Cluster Analysis Humans Proton Magnetic Resonance Spectroscopy Male Metabolomics Biomarkers Adolescent Attention Deficit Disorder with Hyperactivity
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MT-RCAF: A Multi-Task Residual Cross Attention Framework for EEG-based emotion recognition and mood disorder detection.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND AND OBJECTIVE: Prolonged abnormal emotions can gradually evolve into mood disorders such as anxiety and depression, making it critical to study the relationship between emotions and mood disorders to explore the causes of mood disorders. E...
Emotions Electroencephalography Attention Humans Algorithms Mood Disorders
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Enhanced Graph Attention Network by Integrating Transformer for Epileptic EEG Identification.

International journal of neural systems Aug 1, 2025
Electroencephalography signal classification is essential for the diagnosis and monitoring of neurological disorders, with significant implications for patient treatment. Despite the progress made, existing methods face challenges such as capturing t...
Signal Processing, Computer-Assisted Attention Brain Electroencephalography Epilepsy Neural Networks, Computer Algorithms Humans
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Artificial intelligence automated solution for hazard annotation and eye tracking in a simulated environment.

Accident; analysis and prevention Aug 1, 2025
High-fidelity simulators and sensors are commonly used in research to create immersive environments for studying real-world problems. This setup records detailed data, generating large datasets. In driving research, a full-scale car model repurposed ...
Male Eye-Tracking Technology Computer Simulation Humans Deep Learning Accidents, Traffic Female Artificial Intelligence Attention Adult Automobile Driving
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Unsupervised Accuracy Estimation for Brain-Computer Interfaces Based on Selective Auditory Attention Decoding.

IEEE transactions on bio-medical engineering Aug 1, 2025
OBJECTIVE: Selective auditory attention decoding (AAD) algorithms process brain data such as electroencephalography to decode to which of multiple competing sound sources a person attends. Example use cases are neuro-steered hearing aids or communica...
Young Adult Adult Male Attention Unsupervised Machine Learning Humans Brain-Computer Interfaces Electroencephalography Algorithms Auditory Perception Signal Processing, Computer-Assisted Female
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A novel STA-EEGNet combined with channel selection for classification of EEG evoked in 2D and 3D virtual reality.

Medical engineering & physics Jul 1, 2025
Virtual reality (VR), particularly through 3D presentations, significantly boosts user engagement and task efficiency in fields such as gaming, education, and healthcare, offering more immersive and interactive experiences than traditional 2D formats...
Electroencephalography Signal Processing, Computer-Assisted Attention Adult Male Virtual Reality Brain-Computer Interfaces Humans Neural Networks, Computer Female Young Adult
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Multi-level semantic-aware transformer for image captioning.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Effective visual representation is crucial for image captioning task. Among the existing methods, the grid-based visual encoding methods take fragmented features extracted from the entire image as input, lacking the fine-grained semantic information ...
Humans Attention Neural Networks, Computer Semantics Algorithms Image Processing, Computer-Assisted
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