AIMC Topic: Attention

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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...
Brain Animals Male Image Processing, Computer-Assisted Mice Mice, Inbred C57BL Wakefulness Neural Networks, Computer Sleep Sleep Stages Electroencephalography Calcium Attention
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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...
Attention Anxiety Adolescent Cognition Humans Young Adult Machine Learning Adult Female Male
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Convolutional neural networks can identify brain interactions involved in decoding spatial auditory attention.

PLoS computational biology Aug 8, 2024
Human listeners have the ability to direct their attention to a single speaker in a multi-talker environment. The neural correlates of selective attention can be decoded from a single trial of electroencephalography (EEG) data. In this study, leverag...
Acoustic Stimulation Auditory Perception Brain Mapping Electroencephalography Attention Brain Female Young Adult Adult Male Computational Biology Humans Neural Networks, Computer
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Development of an eye-tracking system based on a deep learning model to assess executive function in patients with mental illnesses.

Scientific reports Aug 6, 2024
Patients with mental illnesses, particularly psychosis and obsessive‒compulsive disorder (OCD), frequently exhibit deficits in executive function and visuospatial memory. Traditional assessments, such as the Rey‒Osterrieth Complex Figure Test (RCFT),...
Humans Young Adult Adult Male Neural Networks, Computer Mental Disorders Female Neuropsychological Tests Obsessive-Compulsive Disorder Executive Function Eye-Tracking Technology Deep Learning Adolescent Eye Movements Psychotic Disorders Attention
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CBAM VGG16: An efficient driver distraction classification using CBAM embedded VGG16 architecture.

Computers in biology and medicine Aug 1, 2024
Driver monitoring systems (DMS) are crucial in autonomous driving systems (ADS) when users are concerned about driver/vehicle safety. In DMS, the significant influencing factor of driver/vehicle safety is the classification of driver distractions or ...
Attention Automobile Driving Distracted Driving Humans Neural Networks, Computer Deep Learning
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Determinantal point process attention over grid cell code supports out of distribution generalization.

eLife Aug 1, 2024
Deep neural networks have made tremendous gains in emulating human-like intelligence, and have been used increasingly as ways of understanding how the brain may solve the complex computational problems on which this relies. However, these still fall ...
Humans Attention Brain Entorhinal Cortex Animals Neural Networks, Computer Models, Neurological Grid Cells Algorithms
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An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment.

Neural networks : the official journal of the International Neural Network Society Jul 27, 2024
Entity alignment is a crucial task in knowledge graphs, aiming to match corresponding entities from different knowledge graphs. Due to the scarcity of pre-aligned entities in real-world scenarios, research focused on unsupervised entity alignment has...
Semantics Algorithms Humans Unsupervised Machine Learning Neural Networks, Computer Attention
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DGSD: Dynamical graph self-distillation for EEG-based auditory spatial attention detection.

Neural networks : the official journal of the International Neural Network Society Jul 26, 2024
Auditory Attention Detection (AAD) aims to detect the target speaker from brain signals in a multi-speaker environment. Although EEG-based AAD methods have shown promising results in recent years, current approaches primarily rely on traditional conv...
Attention Humans Acoustic Stimulation Neural Networks, Computer Algorithms Auditory Perception Brain Electroencephalography
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A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning.

Neural networks : the official journal of the International Neural Network Society Jul 20, 2024
Fine-grained visual categorization in zero-shot setting is a challenging problem in the computer vision community. It requires algorithms to accurately identify fine-grained categories that do not appear during the training phase and have high visual...
Humans Neural Networks, Computer Machine Learning Algorithms Attention Visual Perception
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Robust visual question answering via polarity enhancement and contrast.

Neural networks : the official journal of the International Neural Network Society Jul 20, 2024
The Visual Question Answering (VQA) task is an important research direction in the field of artificial intelligence, which requires a model that can simultaneously understand visual images and natural language questions, and answer questions related ...
Attention Visual Perception Humans Algorithms Neural Networks, Computer Language Artificial Intelligence Natural Language Processing
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