AIMC Topic: Memory

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Reinforced Odor Representations in the Anterior Olfactory Nucleus Can Serve as Memory Traces for Conspecifics.

eNeuro Jul 28, 2025
Recognition of conspecific individuals in mammals is an important skill, thought to be mediated by a distributed array of neural networks, including those processing olfactory cues. Recent data from our groups have shown that social memory can be sup...
Memory Reinforcement, Psychology Olfactory Pathways Smell Olfactory Perception Recognition, Psychology Computer Simulation Animals Oxytocin Odorants Models, Neurological
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Large language models' knowledge of children's memory and suggestibility: Evaluating model predictions of prior experimental results.

Acta psychologica Jul 9, 2025
BACKGROUND: Accurately predicting children's memory and suggestibility in forensic contexts, such as child sexual abuse (CSA) investigations, remains challenging for human professionals. Large Language Model (LLM), as an advanced natural language pro...
Female Male Child Humans Large Language Models Child Abuse, Sexual Suggestion Natural Language Processing Memory
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Uncovering memorization effect in the presence of spurious correlations.

Nature communications Jul 1, 2025
Machine learning models often rely on simple spurious features - patterns in training data that correlate with targets but are not causally related to them, like image backgrounds in foreground classification. This reliance typically leads to imbalan...
Neurons Memory Neural Networks, Computer Machine Learning Humans
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Neuro-symbolic procedural semantics for explainable visual dialogue.

PloS one May 27, 2025
This paper introduces a novel approach to visual dialogue that is based on neuro-symbolic procedural semantics. The approach builds further on earlier work on procedural semantics for visual question answering and expands it with neuro-symbolic mecha...
Artificial Intelligence Communication Memory Semantics Humans
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Neuron-astrocyte associative memory.

Proceedings of the National Academy of Sciences of the United States of America May 23, 2025
Astrocytes, the most abundant type of glial cell, play a fundamental role in memory. Despite most hippocampal synapses being contacted by an astrocyte, there are no current theories that explain how neurons, synapses, and astrocytes might collectivel...
Humans Models, Neurological Astrocytes Animals Hippocampus Memory Neurons Synapses
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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...
Thalamus Nerve Net Memory Humans Cerebral Cortex Neural Networks, Computer Neural Pathways Models, Neurological Memory, Short-Term Learning Neurons Prefrontal Cortex
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Neural Network Circuits for Bionic Associative Memory and Temporal Order Memory Based on DNA Strand Displacement.

IEEE transactions on neural networks and learning systems May 2, 2025
Pavlovian associative memory plays an important role in our daily life and work. The realization of Pavlovian associative memory at the deoxyribonucleic acid (DNA) molecular level will promote the development of biological computing and broaden the a...
Bionics DNA Memory Neural Networks, Computer Computer Simulation Humans
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Generalization and differentiation of affective associative memory circuit based on memristive neural network with emotion transfer.

Neural networks : the official journal of the International Neural Network Society Apr 26, 2025
Most existing research on affective associative memory neural network circuits has predominantly concentrated on reinforcement and extinction, with insufficient attention given to the integration of emotion transfer alongside the principles of genera...
Transfer, Psychology Generalization, Psychological Association Learning Humans Neural Networks, Computer Emotions Memory Computer Simulation
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Research on memory failure prediction based on ensemble learning.

PloS one Apr 23, 2025
Timely prediction of memory failures is crucial for the stable operation of data centers. However, existing methods often rely on a single classifier, which can lead to inaccurate or unstable predictions. To address this, we propose a new ensemble mo...
Memory Algorithms Humans Ensemble Learning Models, Theoretical Machine Learning
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On robust learning of memory attractors with noisy deep associative memory networks.

Neural networks : the official journal of the International Neural Network Society Apr 21, 2025
Developing the computational mechanism for memory systems is a long-standing focus in machine learning and neuroscience. Recent studies have shown that overparameterized autoencoders (OAEs) implement associative memory (AM) by encoding training data ...
Humans Neural Networks, Computer Deep Learning Memory Association Learning Machine Learning Algorithms
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