AIMC Topic: Memory, Short-Term

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Influence of cognitive networks and task performance on fMRI-based state classification using DNN models.

Scientific reports Jul 3, 2025
Deep neural networks (DNNs) excel at extracting insights from complex data across various fields, however, their application in cognitive neuroscience remains limited, largely due to the lack of approaches with interpretability. Here, we employ two d...
Brain Female Young Adult Humans Neural Networks, Computer Magnetic Resonance Imaging Memory, Short-Term Task Performance and Analysis Adult Male Cognition
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Modeling visual working memory using recurrent on-center off-surround neural network with distance dependent inhibition.

Scientific reports Jul 2, 2025
This paper presents a computational model of visual working memory (VWM) that simulates the processing of spatially distributed objects and their features. The model emphasizes the prioritization of object-related information before feature-related p...
Models, Neurological Memory, Short-Term Visual Perception Humans Neural Networks, Computer Computer Simulation
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Super-resolution of 3D medical images by generative adversarial networks with long and short-term memory and attention.

Scientific reports Jul 1, 2025
Since 3D medical imaging data is a string of sequential images, there is a strong correlation between consecutive images. Deep convolutional networks perform well in extracting spatial features, but are less capable for processing sequence data compa...
Memory, Short-Term Attention Generative Adversarial Networks Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Enhanced role of the entorhinal cortex in adapting to increased working memory load.

Nature communications Jul 1, 2025
In daily life, we frequently encounter varying demands on working memory (WM), yet how the brain adapts to high WM load remains unclear. To address this question, we recorded intracranial EEG from hippocampus, entorhinal cortex (EC), and lateral temp...
Male Electroencephalography Memory, Short-Term Hippocampus Entorhinal Cortex Temporal Lobe Female Humans Young Adult Machine Learning Adult
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Shear wave velocity prediction using Long Short-Term Memory Network with generative adversarial mechanism.

PloS one Jun 24, 2025
Shear wave velocity (Vs) serves as a crucial petrophysical parameter for subsurface characterization, yet its acquisition remains challenging. While long short-term memory (LSTM) networks have emerged as the predominant solution for Vs prediction by ...
Algorithms China Memory, Short-Term Neural Networks, Computer
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Enhanced separation of long-term memory from short-term memory on top of LSTM: Neural network-based stock index forecasting.

PloS one Jun 2, 2025
LSTM (Long Short-Term Memory Network) is currently extensively utilized for forecasting financial time series, primarily due to its distinct advantages in separating the long-term from the short-term memory information within a sequence. However, the...
Humans Memory, Long-Term Memory, Short-Term Neural Networks, Computer Investments Forecasting
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Cortical-subcortical neural networks for motor learning and storing sequence memory.

Neural networks : the official journal of the International Neural Network Society May 7, 2025
Motor sequence learning relies on the synergistic collaboration of multiple brain regions. However, most existing models for motor sequence learning primarily focus on functional-level analyses of sequence memory mechanisms, providing limited neuroph...
Learning Prefrontal Cortex Models, Neurological Memory, Short-Term Neurons Cerebral Cortex Humans Neural Networks, Computer Neural Pathways Memory Nerve Net Thalamus
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Use of posterior probabilities from a long short-term memory network for characterizing dance behavior with multiple accelerometers.

Journal of Alzheimer's disease : JAD May 4, 2025
BackgroundDancing may be protective for cognitive health among adults with mild cognitive impairment, Alzheimer's disease or dementia; however, additional methods are needed to characterize motor behavior quality in studies of dance.ObjectiveTo deter...
Dancing Memory, Long-Term Memory, Short-Term Accelerometry Female Reproducibility of Results Aged Adult Male Middle Aged Humans
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A dual-path convolutional neural network combined with an attention-based bidirectional long short-term memory network for stock price prediction.

PloS one Apr 22, 2025
The complexities of stock price data, characterized by its nonlinearity, non-stationarity, and intricate spatiotemporal patterns, make accurate prediction a substantial challenge. To address this, we propose the DCA-BiLSTM model, which combines dual-...
Models, Economic Algorithms Commerce Humans Convolutional Neural Networks Investments Neural Networks, Computer Memory, Short-Term
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Forecasting motion trajectories of elbow and knee joints during infant crawling based on long-short-term memory (LSTM) networks.

Biomedical engineering online Apr 2, 2025
BACKGROUND: Hands-and-knees crawling is a promising rehabilitation intervention for infants with motor impairments, while research on assistive crawling devices for rehabilitation training was still in its early stages. In particular, precisely gener...
Male Infant Elbow Joint Humans Female Neural Networks, Computer Biomechanical Phenomena Memory, Short-Term Forecasting Knee Joint Movement
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