AIMC Topic: Attention

Clear Filters Showing 121 to 130 of 573 articles

Preparatory activity of anterior insula predicts conflict errors: integrating convolutional neural networks and neural mass models.

Scientific reports Jul 19, 2024
Preparatory brain activity is a cornerstone of proactive cognitive control, a top-down process optimizing attention, perception, and inhibition, fostering cognitive flexibility and adaptive attention control in the human brain. In this study, we prop...
Insular Cortex Models, Neurological Brain Mapping Attention Conflict, Psychological Electroencephalography Adult Male Cognition Female Humans Young Adult Neural Networks, Computer
View on PubMed DOI

Pre-gating and contextual attention gate - A new fusion method for multi-modal data tasks.

Neural networks : the official journal of the International Neural Network Society Jul 17, 2024
Multi-modal representation learning has received significant attention across diverse research domains due to its ability to model a scenario comprehensively. Learning the cross-modal interactions is essential to combining multi-modal data into a joi...
Algorithms Deep Learning Neural Networks, Computer Attention Humans
View on PubMed DOI

Cognitive and behavioral markers for human detection error in AI-assisted bridge inspection.

Applied ergonomics Jul 16, 2024
Integrating Artificial Intelligence (AI) and drone technology into bridge inspections offers numerous advantages, including increased efficiency and enhanced safety. However, it is essential to recognize that this integration changes the cognitive er...
Artificial Intelligence Female Young Adult Humans Cognition Attention Task Performance and Analysis Adult Male Ergonomics Man-Machine Systems
View on PubMed DOI

LGGNet: Learning From Local-Global-Graph Representations for Brain-Computer Interface.

IEEE transactions on neural networks and learning systems Jul 8, 2024
Neuropsychological studies suggest that co-operative activities among different brain functional areas drive high-level cognitive processes. To learn the brain activities within and among different functional areas of the brain, we propose local-glob...
Neural Networks, Computer Machine Learning Algorithms Electroencephalography Humans Cognition Brain Emotions Attention Brain-Computer Interfaces
View on PubMed DOI

Temporal-spatial cross attention network for recognizing imagined characters.

Scientific reports Jul 4, 2024
Previous research has primarily employed deep learning models such as Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs) for decoding imagined character signals. These approaches have treated the temporal and spatial features ...
Imagination Deep Learning Electroencephalography Attention Brain-Computer Interfaces Signal Processing, Computer-Assisted Humans Neural Networks, Computer Brain
View on PubMed DOI

AutoAMS: Automated attention-based multi-modal graph learning architecture search.

Neural networks : the official journal of the International Neural Network Society Jun 22, 2024
Multi-modal attention mechanisms have been successfully used in multi-modal graph learning for various tasks. However, existing attention-based multi-modal graph learning (AMGL) architectures heavily rely on manual design, requiring huge effort and e...
Humans Neural Networks, Computer Machine Learning Algorithms Attention
View on PubMed DOI

Attention Analysis in Robotic-Assistive Therapy for Children With Autism.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 19, 2024
Children with Autism Spectrum Disorder (ASD) show severe attention deficits, hindering their capacity to acquire new skills. The automatic assessment of their attention response would provide the therapists with an important biomarker to better quant...
Autistic Disorder Male Autism Spectrum Disorder Robotics Eye-Tracking Technology Fixation, Ocular Child Female Attention Humans Reproducibility of Results Algorithms
View on PubMed DOI

Omnidirectional image super-resolution via position attention network.

Neural networks : the official journal of the International Neural Network Society Jun 15, 2024
For convenient transmission, omnidirectional images (ODIs) usually follow the equirectangular projection (ERP) format and are low-resolution. To provide better immersive experience, omnidirectional image super resolution (ODISR) is essential. However...
Image Processing, Computer-Assisted Attention Humans Neural Networks, Computer Algorithms
View on PubMed DOI

GRAM: An interpretable approach for graph anomaly detection using gradient attention maps.

Neural networks : the official journal of the International Neural Network Society Jun 14, 2024
Detecting unusual patterns in graph data is a crucial task in data mining. However, existing methods face challenges in consistently achieving satisfactory performance and often lack interpretability, which hinders our understanding of anomaly detect...
Data Mining Attention Humans Neural Networks, Computer Algorithms
View on PubMed DOI

The attentive reconstruction of objects facilitates robust object recognition.

PLoS computational biology Jun 13, 2024
Humans are extremely robust in our ability to perceive and recognize objects-we see faces in tea stains and can recognize friends on dark streets. Yet, neurocomputational models of primate object recognition have focused on the initial feed-forward p...
Neural Networks, Computer Computational Biology Humans Pattern Recognition, Visual Models, Neurological Recognition, Psychology Attention
View on PubMed DOI
Popular Topics
Recent Journals