AIMC Topic: Attention

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A Generalized Attention Mechanism to Enhance the Accuracy Performance of Neural Networks.

International journal of neural systems Aug 31, 2024
In many modern machine learning (ML) models, attention mechanisms (AMs) play a crucial role in processing data and identifying significant parts of the inputs, whether these are text or images. This selective focus enables subsequent stages of the mo...
Machine Learning Attention Humans Neural Networks, Computer
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Integration of multi-level semantics in PTMs with an attention model for question matching.

PloS one Aug 29, 2024
The task of question matching/retrieval focuses on determining whether two questions are semantically equivalent. It has garnered significant attention in the field of natural language processing (NLP) due to its commercial value. While neural networ...
Natural Language Processing Attention Humans Semantics Neural Networks, Computer
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Inter-participant transfer learning with attention based domain adversarial training for P300 detection.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
A Brain-computer interface (BCI) system establishes a novel communication channel between the human brain and a computer. Most event related potential-based BCI applications make use of decoding models, which requires training. This training process ...
Event-Related Potentials, P300 Attention Brain-Computer Interfaces Neural Networks, Computer Deep Learning Electroencephalography Humans
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Attention-based stackable graph convolutional network for multi-view learning.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
In multi-view learning, graph-based methods like Graph Convolutional Network (GCN) are extensively researched due to effective graph processing capabilities. However, most GCN-based methods often require complex preliminary operations such as sparsif...
Humans Neural Networks, Computer Algorithms Deep Learning Attention
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DiagSWin: A multi-scale vision transformer with diagonal-shaped windows for object detection and segmentation.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
Recently, Vision Transformer and its variants have demonstrated remarkable performance on various computer vision tasks, thanks to its competence in capturing global visual dependencies through self-attention. However, global self-attention suffers f...
Attention Visual Perception Humans Neural Networks, Computer Algorithms
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SFT-SGAT: A semi-supervised fine-tuning self-supervised graph attention network for emotion recognition and consciousness detection.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
Emotional recognition is highly important in the field of brain-computer interfaces (BCIs). However, due to the individual variability in electroencephalogram (EEG) signals and the challenges in obtaining accurate emotional labels, traditional method...
Consciousness Brain-Computer Interfaces Electroencephalography Supervised Machine Learning Attention Humans Male Neural Networks, Computer Emotions Female Adult
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Infants' psychophysiological responses to eye contact with a human and with a humanoid robot.

Biological psychology Aug 17, 2024
Eye contact with a human and with a humanoid robot elicits attention- and affect-related psychophysiological responses. However, these responses have mostly been studied in adults, leaving their developmental origin poorly understood. In this study, ...
Electromyography Attention Heart Rate Infant Robotics Fixation, Ocular Facial Muscles Photic Stimulation Arousal Galvanic Skin Response Humans Female Male
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Subject-independent auditory spatial attention detection based on brain topology modeling and feature distribution alignment.

Hearing research Aug 14, 2024
Auditory spatial attention detection (ASAD) seeks to determine which speaker in a surround sound field a listener is focusing on based on the one's brain biosignals. Although existing studies have achieved ASAD from a single-trial electroencephalogra...
Acoustic Stimulation Auditory Pathways Humans Brain Waves Brain Neural Networks, Computer Signal Processing, Computer-Assisted Attention Sound Localization Models, Neurological Auditory Perception Electroencephalography
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Attention-based CNN-BiLSTM for sleep state classification of spatiotemporal wide-field calcium imaging data.

Journal of neuroscience methods Aug 14, 2024
BACKGROUND: Wide-field calcium imaging (WFCI) with genetically encoded calcium indicators allows for spatiotemporal recordings of neuronal activity in mice. When applied to the study of sleep, WFCI data are manually scored into the sleep states of wa...
Neural Networks, Computer Sleep Stages Mice, Inbred C57BL Electroencephalography Calcium Attention Wakefulness Sleep Male Brain Image Processing, Computer-Assisted Animals Mice
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Predictive roles of cognitive biases in health anxiety: A machine learning approach.

Stress and health : journal of the International Society for the Investigation of Stress Aug 10, 2024
Prior work suggests that cognitive biases may contribute to health anxiety. Yet there is little research investigating how biased attention, interpretation, and memory for health threats are collectively associated with health anxiety, as well as the...
Machine Learning Female Young Adult Humans Adolescent Adult Cognition Male Attention Anxiety
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