AIMC Topic: Memory, Short-Term

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Geometry of neural computation unifies working memory and planning.

Proceedings of the National Academy of Sciences of the United States of America Sep 6, 2022
Real-world tasks require coordination of working memory, decision-making, and planning, yet these cognitive functions have disproportionately been studied as independent modular processes in the brain. Here, we propose that contingency representation...
Humans Neural Networks, Computer Models, Neurological Memory, Short-Term Computer Simulation Prefrontal Cortex
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Visual Monitoring Technology for Substation Vulnerable High-Voltage Electrical Equipment Based on ISSA-LSTM Deep Learning Model Coupling Video Overlay Algorithm.

Computational intelligence and neuroscience Aug 26, 2022
To enhance the visualization effect of substation high-voltage electrical equipment vulnerability, this study proposes an ISSA-LSTM coupled video overlay algorithm-based substation high-voltage electrical equipment vulnerability visualization and mon...
Electricity Algorithms Technology Deep Learning Memory, Short-Term
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Hospital Intelligent Power Operation and Maintenance Information Evaluation with the Long and Short Memory Neural Network.

BioMed research international Aug 23, 2022
The invention describes a deep learning-based technique for monitoring power grid information operation and maintenance. Based on the time series data information in the power grid information operation and maintenance monitoring system, this method ...
Memory, Short-Term Neural Networks, Computer Hospitals
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Prediction of Retail Price of Sporting Goods Based on LSTM Network.

Computational intelligence and neuroscience Jul 9, 2022
Commodity prices play a unique role as a lever to regulate the economy. Price forecasting is an important part of macrodecision-making and micromanagement. Because there are many factors affecting the price of goods, price prediction has become a dif...
Memory, Short-Term Neural Networks, Computer Algorithms Forecasting
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Pruning recurrent neural networks replicates adolescent changes in working memory and reinforcement learning.

Proceedings of the National Academy of Sciences of the United States of America May 27, 2022
Adolescent development is characterized by an improvement in multiple cognitive processes. While performance on cognitive operations improves during this period, the ability to learn new skills quickly, for example, a new language, decreases. During ...
Humans Reinforcement, Psychology Adolescent Development Neuronal Plasticity Models, Neurological Prefrontal Cortex Memory, Short-Term Neural Networks, Computer Adolescent Synapses
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Research on Disease Prediction Method Based on R-Lookahead-LSTM.

Computational intelligence and neuroscience Apr 13, 2022
Cardiovascular disease is one of the most serious diseases that threaten human health in the world today. Therefore, establishing a high-quality disease prediction model is of great significance for the prevention and treatment of cardiovascular dise...
Neural Networks, Computer Algorithms Humans Memory, Long-Term Cardiovascular Diseases Memory, Short-Term
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Decoding Color Visual Working Memory from EEG Signals Using Graph Convolutional Neural Networks.

International journal of neural systems Dec 11, 2021
Color has an important role in object recognition and visual working memory (VWM). Decoding color VWM in the human brain is helpful to understand the mechanism of visual cognitive process and evaluate memory ability. Recently, several studies showed ...
Humans Memory, Short-Term Neural Networks, Computer Brain Visual Perception Electroencephalography
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NeuroLISP: High-level symbolic programming with attractor neural networks.

Neural networks : the official journal of the International Neural Network Society Nov 18, 2021
Despite significant improvements in contemporary machine learning, symbolic methods currently outperform artificial neural networks on tasks that involve compositional reasoning, such as goal-directed planning and logical inference. This illustrates ...
Algorithms Memory, Short-Term Artificial Intelligence Machine Learning Neural Networks, Computer Humans
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Social Robots for Evaluating Attention State in Older Adults.

Sensors (Basel, Switzerland) Oct 28, 2021
Sustained attention is essential for older adults to maintain an active lifestyle, and the deficiency of this function is often associated with health-related risks such as falling and frailty. The present study examined whether the well-established ...
Robotics Social Interaction Memory, Short-Term Self Report Humans Task Performance and Analysis Aged
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Research on Volleyball Video Intelligent Description Technology Combining the Long-Term and Short-Term Memory Network and Attention Mechanism.

Computational intelligence and neuroscience Oct 14, 2021
With the development of computer technology, video description, which combines the key technologies in the field of natural language processing and computer vision, has attracted more and more researchers' attention. Among them, how to objectively an...
Natural Language Processing Memory, Short-Term Video Recording Humans Neural Networks, Computer Volleyball Technology
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