AIMC Topic: Memory, Short-Term

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A hybrid long short-term memory-convolutional neural network multi-stream deep learning model with Convolutional Block Attention Module incorporated for monkeypox detection.

Science progress Mar 28, 2025
BackgroundMonkeypox (mpox) is a zoonotic infectious disease caused by the mpox virus and characterized by painful body lesions, fever, headaches, and exhaustion. Since the report of the first human case of mpox in Africa, there have been multiple out...
Mpox, Monkeypox Monkeypox virus Animals Deep Learning Memory, Short-Term Humans Neural Networks, Computer
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Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection.

Scientific reports Mar 27, 2025
The Guided Imagery technique is reported to be used by therapists all over the world in order to increase the comfort of patients suffering from a variety of disorders from mental to oncology ones and proved to be successful in numerous of ways. Poss...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Memory, Short-Term Female Imagery, Psychotherapy Workload Male Young Adult Deep Learning Adult Electroencephalography
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Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks.

Nature neuroscience Mar 24, 2025
The temporal order of a sequence of events has been thought to be reflected in the ordered firing of neurons at different phases of theta oscillations. Here we assess this by measuring single neuron activity (1,420 neurons) and local field potentials...
Male Action Potentials Epilepsy Female Humans Young Adult Neural Networks, Computer Adult Memory, Short-Term Temporal Lobe Neurons Theta Rhythm Nerve Net Recurrent Neural Networks
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Forecasting stock prices using long short-term memory involving attention approach: An application of stock exchange industry.

PloS one Mar 18, 2025
The Stability of the economy is always a great challenge across the world, especially in under developed countries. Many researchers have contributed to forecasting the Stock Market and controlling the situation to ensure economic stability over the ...
Investments Humans Neural Networks, Computer Memory, Short-Term Forecasting Models, Economic Deep Learning Commerce
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Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City.

Scientific reports Feb 25, 2025
Ozone pollution affects food production, human health, and the lives of individuals. Due to rapid industrialization and urbanization, Liaocheng has experienced increasing of ozone concentration over several years. Therefore, ozone has become a major ...
Memory, Short-Term China Cities Environmental Monitoring Air Pollutants Air Pollution Ozone Humans Neural Networks, Computer
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Convolutional long short-term memory neural network integrated with classifier in classifying type of asynchrony breathing in mechanically ventilated patients.

Computer methods and programs in biomedicine Feb 19, 2025
BACKGROUND AND OBJECTIVE: Asynchronous breathing (AB) occurs when a mechanically ventilated patient's breathing does not align with the mechanical ventilator (MV). Asynchrony can negatively impact recovery and outcome, and/or hinder MV management. A ...
Algorithms Intensive Care Units Respiration, Artificial Humans Neural Networks, Computer Respiration Logistic Models Support Vector Machine Memory, Short-Term
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Recurrent neural networks with transient trajectory explain working memory encoding mechanisms.

Communications biology Jan 28, 2025
Whether working memory (WM) is encoded by persistent activity using attractors or by dynamic activity using transient trajectories has been debated for decades in both experimental and modeling studies, and a consensus has not been reached. Even thou...
Humans Neural Networks, Computer Nerve Net Animals Recurrent Neural Networks Models, Neurological Memory, Short-Term
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Development of compositionality through interactive learning of language and action of robots.

Science robotics Jan 22, 2025
Humans excel at applying learned behavior to unlearned situations. A crucial component of this generalization behavior is our ability to compose/decompose a whole into reusable parts, an attribute known as compositionality. One of the fundamental que...
Robotics Memory, Short-Term Linguistics Proprioception Humans Computer Simulation Language Learning Neural Networks, Computer Brain
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Random noise promotes slow heterogeneous synaptic dynamics important for robust working memory computation.

Proceedings of the National Academy of Sciences of the United States of America Jan 16, 2025
Recurrent neural networks (RNNs) based on model neurons that communicate via continuous signals have been widely used to study how cortical neural circuits perform cognitive tasks. Training such networks to perform tasks that require information main...
Nerve Net Neurons Synapses Neural Networks, Computer Animals Prefrontal Cortex Cognition Models, Neurological Memory, Short-Term Humans
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Working-memory load decoding model inspired by brain cognition based on cross-frequency coupling.

Brain research bulletin Jan 15, 2025
Working memory, a fundamental cognitive function of the brain, necessitates the evaluation of cognitive load intensity due to limited cognitive resources. Optimizing cognitive load can enhance task performance efficiency by preventing resource waste ...
Humans Neural Networks, Computer Electroencephalography Memory, Short-Term Brain Cognition Models, Neurological
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