AIMC Topic: Association Learning

Clear Filters Showing 1 to 10 of 24 articles

Design and Implementation of Pavlovian Associative Memory Based on DNA Neurons.

IEEE transactions on neural networks and learning systems Apr 4, 2025
In the field of biocomputing and neural networks, deoxyribonucleic acid (DNA) strand displacement (DSD) technology performs well in computation, programming, and information processing. In this article, the multiplication gate, addition gate, and thr...
Humans Neural Networks, Computer Neurons Memory Conditioning, Classical Association Learning Computer Simulation Animals DNA
View on PubMed DOI

Machine learning analysis of cortical activity in visual associative learning tasks with differing stimulus complexity.

Physiology international Feb 27, 2025
Associative learning tests are cognitive assessments that evaluate the ability of individuals to learn and remember relationships between pairs of stimuli. The Rutgers Acquired Equivalence Test (RAET) is an associative learning test that utilizes ima...
Association Learning Cerebral Cortex Female Humans Male Young Adult Machine Learning Photic Stimulation Brain Mapping Adult Visual Perception Electroencephalography
View on PubMed DOI

Concurrent Associative Memories With Synaptic Delays.

IEEE transactions on neural networks and learning systems Aug 3, 2021
This article presents concurrent associative memories with synaptic delays useful for processing sequences of real vectors. Associative memories with synaptic delays were introduced by the authors for symbolic sequential inputs and demonstrated sever...
Databases, Factual Deep Learning Models, Neurological Humans Neural Networks, Computer Algorithms Association Learning Synapses Speech Recognition Software Memory
View on PubMed DOI

Living systems are smarter bots: Slime mold semiosis versus AI symbol manipulation.

Bio Systems Apr 20, 2021
Although machines may be good at mimicking, they are not currently able, as organisms are, to act creatively. We offer an understanding of the emergent qualities of biological sign processing in terms of generalization, association, and encryption. W...
Deep Learning Association Learning Physarum polycephalum Artificial Intelligence Algorithms Animals Humans
View on PubMed DOI

Associated Learning: Decomposing End-to-End Backpropagation Based on Autoencoders and Target Propagation.

Neural computation Oct 20, 2020
Backpropagation (BP) is the cornerstone of today's deep learning algorithms, but it is inefficient partially because of backward locking, which means updating the weights of one layer locks the weight updates in the other layers. Consequently, it is ...
Humans Neural Networks, Computer Algorithms Deep Learning Association Learning
View on PubMed DOI

Probing the neural dynamics of mnemonic representations after the initial consolidation.

NeuroImage Jul 31, 2020
Memories are not stored as static engrams, but as dynamic representations affected by processes occurring after initial encoding. Previous studies revealed changes in activity and mnemonic representations in visual processing areas, parietal lobe, an...
Spatial Memory Humans Association Learning Memory Consolidation Memory, Episodic Mental Recall Magnetic Resonance Imaging Pattern Recognition, Visual Brain Mapping Male Female Cues Adolescent Image Interpretation, Computer-Assisted Young Adult Support Vector Machine Hippocampus Adult Cerebral Cortex
View on PubMed DOI

Sparse coding with a somato-dendritic rule.

Neural networks : the official journal of the International Neural Network Society Jun 26, 2020
Cortical neurons are silent most of the time: sparse activity enables low-energy computation in the brain, and promises to do the same in neuromorphic hardware. Beyond power efficiency, sparse codes have favourable properties for associative learning...
Machine Learning Feedback Neuronal Plasticity Dendrites Association Learning Humans Neural Networks, Computer
View on PubMed DOI

Probabilistic associative learning suffices for learning the temporal structure of multiple sequences.

PloS one Aug 1, 2019
From memorizing a musical tune to navigating a well known route, many of our underlying behaviors have a strong temporal component. While the mechanisms behind the sequential nature of the underlying brain activity are likely multifarious and multi-s...
Mental Recall Association Learning Humans Action Potentials Neural Networks, Computer Bayes Theorem Models, Neurological Memory
View on PubMed DOI

Artificial neural networks reveal individual differences in metacognitive monitoring of memory.

PloS one Jul 31, 2019
Previous work supports an age-specific impairment for recognition memory of pairs of words and other stimuli. The present study tested the generalization of an associative deficit across word, name, and nonword stimulus types in younger and older adu...
Middle Aged Adolescent Age Factors Aged, 80 and over Young Adult Humans Adult Neural Networks, Computer Recognition, Psychology Female Association Learning Memory Disorders Aged Metacognition Individuality Memory
View on PubMed DOI

Nonmonotonic Plasticity: How Memory Retrieval Drives Learning.

Trends in cognitive sciences Jul 26, 2019
What are the principles that govern whether neural representations move apart (differentiate) or together (integrate) as a function of learning? According to supervised learning models that are trained to predict outcomes in the world, integration sh...
Association Learning Humans Machine Learning Mental Recall
View on PubMed DOI
Popular Topics
Recent Journals