AIMC Topic: Memory, Long-Term

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A Study of Two-Way Short- and Long-Term Memory Network Intelligent Computing IoT Model-Assisted Home Education Attention Mechanism.

Computational intelligence and neuroscience Dec 21, 2021
This paper analyzes and collates the research on traditional homeschooling attention mechanism and homeschooling attention mechanism based on two-way short- and long-term memory network intelligent computing IoT model and finds the superiority of two...
Memory, Long-Term Recognition, Psychology Neural Networks, Computer Intelligence Humans
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Supervised Learning Algorithm for Multilayer Spiking Neural Networks with Long-Term Memory Spike Response Model.

Computational intelligence and neuroscience Nov 24, 2021
As a new brain-inspired computational model of artificial neural networks, spiking neural networks transmit and process information via precisely timed spike trains. Constructing efficient learning methods is a significant research field in spiking n...
Models, Neurological Supervised Machine Learning Memory, Long-Term Neural Networks, Computer Algorithms
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Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.

Journal of medical Internet research Sep 15, 2020
BACKGROUND: Reminiscence is the act of thinking or talking about personal experiences that occurred in the past. It is a central task of old age that is essential for healthy aging, and it serves multiple functions, such as decision-making and intros...
Aged Memory, Long-Term Humans Machine Learning Natural Language Processing Communication Algorithms
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An improved deep learning method for predicting DNA-binding proteins based on contextual features in amino acid sequences.

PloS one Nov 14, 2019
As the number of known proteins has expanded, how to accurately identify DNA binding proteins has become a significant biological challenge. At present, various computational methods have been proposed to recognize DNA-binding proteins from only amin...
Memory, Long-Term Algorithms Reproducibility of Results DNA-Binding Proteins Neural Networks, Computer Deep Learning Amino Acid Sequence
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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...
Models, Neurological Neurons Learning Neuronal Plasticity Homeostasis Nerve Net Memory Nonlinear Dynamics Synapses Neural Networks, Computer Algorithms Computer Simulation Software Memory, Long-Term
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Recurrent Neural Networks With External Addressable Long-Term and Working Memory for Learning Long-Term Dependences.

IEEE transactions on neural networks and learning systems May 3, 2019
Learning long-term dependences (LTDs) with recurrent neural networks (RNNs) is challenging due to their limited internal memories. In this paper, we propose a new external memory architecture for RNNs called an external addressable long-term and work...
Memory, Long-Term Databases, Factual Memory, Short-Term Neural Networks, Computer
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Perceptual Generalization and Context in a Network Memory Inspired Long-Term Memory for Artificial Cognition.

International journal of neural systems Nov 14, 2018
In the framework of open-ended learning cognitive architectures for robots, this paper deals with the design of a Long-Term Memory (LTM) structure that can accommodate the progressive acquisition of experience-based decision capabilities, or what dif...
Neural Networks, Computer Memory, Long-Term Artificial Intelligence Robotics Perception
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Mittag-Leffler synchronization of fractional neural networks with time-varying delays and reaction-diffusion terms using impulsive and linear controllers.

Neural networks : the official journal of the International Neural Network Society Sep 8, 2017
In this paper, we propose a fractional-order neural network system with time-varying delays and reaction-diffusion terms. We first develop a new Mittag-Leffler synchronization strategy for the controlled nodes via impulsive controllers. Using the fra...
Diffusion Linear Models Memory, Long-Term Time Factors Reaction Time Neural Networks, Computer Algorithms
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Optimizing NEURON Simulation Environment Using Remote Memory Access with Recursive Doubling on Distributed Memory Systems.

Computational intelligence and neuroscience Jun 20, 2016
Increase in complexity of neuronal network models escalated the efforts to make NEURON simulation environment efficient. The computational neuroscientists divided the equations into subnets amongst multiple processors for achieving better hardware pe...
Neural Networks, Computer Algorithms Humans Neurons Computer Communication Networks Computer Simulation Memory, Long-Term Models, Neurological
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Effects of long-term representations on free recall of unrelated words.

Learning & memory (Cold Spring Harbor, N.Y.) Jan 15, 2015
Human memory stores vast amounts of information. Yet recalling this information is often challenging when specific cues are lacking. Here we consider an associative model of retrieval where each recalled item triggers the recall of the next item base...
Memory, Long-Term Adolescent Models, Neurological Young Adult Neurons Humans Models, Statistical Mental Recall Adult Neural Networks, Computer
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