AIMC Topic: Association Learning

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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...
Individuality Memory Recognition, Psychology Adolescent Age Factors Memory Disorders Association Learning Metacognition Female Aged Aged, 80 and over Young Adult Adult Middle Aged Humans Neural Networks, Computer
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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
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Robust Associative Learning Is Sufficient to Explain the Structural and Dynamical Properties of Local Cortical Circuits.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 3, 2019
The ability of neural networks to associate successive states of network activity lies at the basis of many cognitive functions. Hence, we hypothesized that many ubiquitous structural and dynamical properties of local cortical networks result from as...
Neural Networks, Computer Models, Neurological Memory Conditioning, Classical Association Learning Action Potentials Neurons Synapses
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A neural network architecture for learning word-referent associations in multiple contexts.

Neural networks : the official journal of the International Neural Network Society May 27, 2019
This article proposes a biologically inspired neurocomputational architecture which learns associations between words and referents in different contexts, considering evidence collected from the literature of Psycholinguistics and Neurolinguistics. T...
Humans Machine Learning Linguistics Association Learning
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Deep associative neural network for associative memory based on unsupervised representation learning.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2019
This paper presents a deep associative neural network (DANN) based on unsupervised representation learning for associative memory. In brain, the knowledge is learnt by associating different types of sensory data, such as image and voice. The associat...
Pattern Recognition, Automated Association Learning Algorithms Models, Statistical Unsupervised Machine Learning Humans Neural Networks, Computer
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Clone-Based Encoded Neural Networks to Design Efficient Associative Memories.

IEEE transactions on neural networks and learning systems Jan 28, 2019
In this paper, we introduce a neural network (NN) model named clone-based neural network (CbNN) to design associative memories. Neurons in CbNN can be cloned statically or dynamically which allows to increase the number of data that can be stored and...
Neural Networks, Computer Humans Memory Association Learning
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Deep(er) Learning.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 13, 2018
Animals successfully thrive in noisy environments with finite resources. The necessity to function with resource constraints has led evolution to design animal brains (and bodies) to be optimal in their use of computational power while being adaptabl...
Animals Deep Learning Models, Neurological Reward Neuropil Odorants Mushroom Bodies Synapses Olfactory Receptor Neurons Conditioning, Classical Avoidance Learning Association Learning Signal Detection, Psychological Conditioning, Operant Afferent Pathways Nerve Net Environment Signal-To-Noise Ratio Reinforcement, Psychology Drosophila melanogaster Olfactory Perception
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Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data.

Neuron Jun 14, 2018
The attractor neural network scenario is a popular scenario for memory storage in the association cortex, but there is still a large gap between models based on this scenario and experimental data. We study a recurrent network model in which both lea...
Memory Temporal Lobe Association Learning Animals Neuronal Plasticity Neural Networks, Computer Learning
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Associative Learning Should Go Deep.

Trends in cognitive sciences Jun 28, 2017
Conditioning, how animals learn to associate two or more events, is one of the most influential paradigms in learning theory. It is nevertheless unclear how current models of associative learning can accommodate complex phenomena without ad hoc repre...
Association Learning Humans Neural Networks, Computer Animals
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Multivoxel Object Representations in Adult Human Visual Cortex Are Flexible: An Associative Learning Study.

Journal of cognitive neuroscience Feb 2, 2016
Learning associations between co-occurring events enables us to extract structure from our environment. Medial-temporal lobe structures are critical for associative learning. However, the role of the ventral visual pathway (VVP) in associative learni...
Visual Cortex Association Learning Support Vector Machine Young Adult Repetition Priming Photic Stimulation Adult Humans Linear Models Magnetic Resonance Imaging Pattern Recognition, Visual Female Multivariate Analysis Male Brain Mapping Neuropsychological Tests
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