AIMC Topic: Memory

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A neural model of schemas and memory encoding.

Biological cybernetics Nov 4, 2019
The ability to rapidly assimilate new information is essential for survival in a dynamic environment. This requires experiences to be encoded alongside the contextual schemas in which they occur. Tse et al. (Science 316(5821):76-82, 2007) showed that...
Artificial Intelligence Learning Animals Neural Networks, Computer Electronic Data Processing Memory Neurobiology Prefrontal Cortex Rats Hippocampus
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New approach to global Mittag-Leffler synchronization problem of fractional-order quaternion-valued BAM neural networks based on a new inequality.

Neural networks : the official journal of the International Neural Network Society Nov 4, 2019
In this paper, a novel kind of neural networks named fractional-order quaternion-valued bidirectional associative memory neural networks (FQVBAMNNs) is formulated. On one hand, applying Hamilton rules in quaternion multiplication which is essentially...
Association Neural Networks, Computer Algorithms Memory
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Stable memory with unstable synapses.

Nature communications Sep 30, 2019
What is the physiological basis of long-term memory? The prevailing view in Neuroscience attributes changes in synaptic efficacy to memory acquisition, implying that stable memories correspond to stable connectivity patterns. However, an increasing b...
Software Algorithms Computer Simulation Neural Networks, Computer Neurons Nonlinear Dynamics Synapses Learning Neuronal Plasticity Models, Neurological Memory Homeostasis Memory, Long-Term Nerve Net
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Rethinking the performance comparison between SNNS and ANNS.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2019
Artificial neural networks (ANNs), a popular path towards artificial intelligence, have experienced remarkable success via mature models, various benchmarks, open-source datasets, and powerful computing platforms. Spiking neural networks (SNNs), a ca...
Memory Algorithms Brain Action Potentials Neurons Pattern Recognition, Automated Humans Neural Networks, Computer Artificial Intelligence
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On the validity of memristor modeling in the neural network literature.

Neural networks : the official journal of the International Neural Network Society Sep 9, 2019
An analysis of the literature shows that there are two types of non-memristive models that have been widely used in the modeling of so-called "memristive" neural networks. Here, we demonstrate that such models have nothing in common with the concept ...
Reproducibility of Results Neural Networks, Computer Memory
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Transformed ℓ regularization for learning sparse deep neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 27, 2019
Deep Neural Networks (DNNs) have achieved extraordinary success in numerous areas. However, DNNs often carry a large number of weight parameters, leading to the challenge of heavy memory and computation costs. Overfitting is another challenge for DNN...
Memory Machine Learning Algorithms Neurons Neural Networks, Computer
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Robust computation with rhythmic spike patterns.

Proceedings of the National Academy of Sciences of the United States of America Aug 20, 2019
Information coding by precise timing of spikes can be faster and more energy efficient than traditional rate coding. However, spike-timing codes are often brittle, which has limited their use in theoretical neuroscience and computing applications. He...
Memory Interneurons Humans Models, Neurological Neural Networks, Computer Action Potentials Nerve Net
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Leveraging Contextual Sentences for Text Classification by Using a Neural Attention Model.

Computational intelligence and neuroscience Aug 1, 2019
We explored several approaches to incorporate context information in the deep learning framework for text classification, including designing different attention mechanisms based on different neural network and extracting some additional features fro...
Attention Algorithms Humans Data Collection Memory Language Neural Networks, Computer Deep Learning
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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...
Bayes Theorem Memory Mental Recall Models, Neurological Association Learning Humans Action Potentials Neural Networks, Computer
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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...
Memory Disorders Individuality Memory Recognition, Psychology Association Learning Middle Aged Adolescent Female Age Factors Aged Young Adult Humans Metacognition Aged, 80 and over Adult Neural Networks, Computer
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