AIMC Topic: Memory, Short-Term

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Memory flow-controlled knowledge tracing with three stages.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Knowledge Tracing (KT), as a pivotal technology in intelligent education systems, analyzes students' learning data to infer their knowledge acquisition and predict their future performance. Recent advancements in KT recognize the importance of memory...
Humans Neural Networks, Computer Memory, Long-Term Memory Knowledge Learning Memory, Short-Term
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The effects of the post-delay epochs on working memory error reduction.

PLoS computational biology May 1, 2025
Accurate retrieval of the maintained information is crucial for working memory. This process primarily occurs during post-delay epochs, when subjects receive cues and generate responses. However, the computational and neural mechanisms that underlie ...
Humans Computational Biology Models, Neurological Memory, Short-Term Neural Networks, Computer Male
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DDoS attack detection method based on improved convolutional long short-term memory and three-way decision in SDN.

PloS one Jan 1, 2025
Software Defined Networking (SDN) is an emerging network architecture and management method, whose core idea is to separate the network control plane from the data transmission plane. It is precisely because of this characteristic that SDN controller...
Computer Security Algorithms Memory, Short-Term Humans Neural Networks, Computer Software
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Convolutional neural networks uncover the dynamics of human visual memory representations over time.

Cerebral cortex (New York, N.Y. : 1991) Nov 5, 2024
The ability to accurately retrieve visual details of past events is a fundamental cognitive function relevant for daily life. While a visual stimulus contains an abundance of information, only some of it is later encoded into long-term memory represe...
Adult Male Female Young Adult Visual Perception Memory, Short-Term Photic Stimulation Humans Neural Networks, Computer
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Heterogeneous Forgetting Rates and Greedy Allocation in Slot-Based Memory Networks Promotes Signal Retention.

Neural computation Apr 23, 2024
A key question in the neuroscience of memory encoding pertains to the mechanisms by which afferent stimuli are allocated within memory networks. This issue is especially pronounced in the domain of working memory, where capacity is finite. Presumably...
Memory, Short-Term Memory Brain Models, Neurological Humans Neural Networks, Computer
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Linking task structure and neural network dynamics.

Nature neuroscience Jun 1, 2022
The solutions neural networks find to solve a task are often inscrutable. We have had little insight into why particular structure emerges in a network. By reverse-engineering neural networks from dynamical principles, Dubreuil & Valente et. al. reve...
Neural Networks, Computer Memory, Short-Term
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Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning.

Neural computation Aug 19, 2021
Generalization by learning is an essential cognitive competency for humans. For example, we can manipulate even unfamiliar objects and can generate mental images before enacting a preplan. How is this possible? Our study investigated this problem by ...
Robotics Humans Visual Perception Memory, Short-Term Cognition
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Oscillation-Driven Memory Encoding, Maintenance, and Recall in an Entorhinal-Hippocampal Circuit Model.

Cerebral cortex (New York, N.Y. : 1991) Mar 5, 2021
During the execution of working memory tasks, task-relevant information is processed by local circuits across multiple brain regions. How this multiarea computation is conducted by the brain remains largely unknown. To explore such mechanisms in spat...
Memory, Short-Term Hippocampus Mental Recall Entorhinal Cortex Animals Spatial Memory Rats Neural Networks, Computer Theta Rhythm
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Short-Term Memory Binding Distinguishing Amnestic Mild Cognitive Impairment from Healthy Aging: A Machine Learning Study.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Amnestic mild cognitive impairment (aMCI) is the most common preclinical stage of Alzheimer's disease (AD). A strategy to reduce the impact of AD is the early aMCI diagnosis and clinical intervention. Neuroimaging, neurobiological, and ge...
Neuropsychological Tests Healthy Aging Alzheimer Disease Early Diagnosis Male Cognitive Dysfunction Cognition Female Humans Memory, Short-Term Aged Machine Learning
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Domain adaptation for robust workload level alignment between sessions and subjects using fNIRS.

Journal of biomedical optics Jan 1, 2021
SIGNIFICANCE: We demonstrated the potential of using domain adaptation on functional near-infrared spectroscopy (fNIRS) data to classify different levels of n-back tasks that involve working memory.
Memory, Short-Term Spectroscopy, Near-Infrared Humans Support Vector Machine Neural Networks, Computer
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