AIMC Topic: Memory

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Artificial Sensory Memory.

Advanced materials (Deerfield Beach, Fla.) Jul 30, 2019
Sensory memory, formed at the beginning while perceiving and interacting with the environment, is considered a primary source of intelligence. Transferring such biological concepts into electronic implementation aims at achieving perceptual intellige...
Semiconductors Artificial Organs Synapses Memory Artificial Intelligence Robotics Neurons
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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...
Synapses Memory Conditioning, Classical Association Learning Neural Networks, Computer Models, Neurological Action Potentials Neurons
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A diversity of interneurons and Hebbian plasticity facilitate rapid compressible learning in the hippocampus.

Nature neuroscience Jun 24, 2019
The hippocampus is able to rapidly learn incoming information, even if that information is only observed once. Furthermore, this information can be replayed in a compressed format in either forward or reverse modes during sharp wave-ripples (SPW-Rs)....
Learning Time Factors Neuronal Plasticity Memory CA3 Region, Hippocampal Interneurons Septal Nuclei Neural Networks, Computer Computer Simulation
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Short-term synaptic plasticity expands the operational range of long-term synaptic changes in neural networks.

Neural networks : the official journal of the International Neural Network Society Jun 18, 2019
The brain is highly plastic, with synaptic weights changing across a wide range of time scales, from hundreds of milliseconds to days. Changes occurring at different temporal scales are believed to serve different purposes, with long-term changes for...
Humans Neural Networks, Computer Brain Computer Simulation Synapses Memory Learning Time Factors Neuronal Plasticity
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Defining Image Memorability Using the Visual Memory Schema.

IEEE transactions on pattern analysis and machine intelligence May 2, 2019
Memorability of an image is a characteristic determined by the human observers' ability to remember images they have seen. Yet recent work on image memorability defines it as an intrinsic property that can be obtained independent of the observer. The...
Middle Aged Deep Learning Image Processing, Computer-Assisted Models, Neurological Aged, 80 and over Young Adult Adult Memory Visual Perception Fixation, Ocular Humans Artificial Intelligence Algorithms Aged
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A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices.

Computational intelligence and neuroscience Apr 28, 2019
Recently, machine learning, especially deep learning, has been a core algorithm to be widely used in many fields such as natural language processing, speech recognition, object recognition, and so on. At the same time, another trend is that more and ...
Neural Networks, Computer Deep Learning Machine Learning Algorithms Natural Language Processing Memory
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Influence of New Technologies on Post-Stroke Rehabilitation: A Comparison of Armeo Spring to the Kinect System.

Medicina (Kaunas, Lithuania) Apr 9, 2019
BACKGROUND: New technologies to improve post-stroke rehabilitation outcomes are of great interest and have a positive impact on functional, motor, and cognitive recovery. Identifying the most effective rehabilitation intervention is a recognized prio...
Upper Extremity Stroke Rehabilitation Spatial Navigation Range of Motion, Articular Middle Aged Analysis of Variance Double-Blind Method Anxiety Memory Exercise Therapy Cognition Virtual Reality Exposure Therapy Attention Treatment Outcome Female Humans Aged Hand Strength Prospective Studies Recovery of Function Biomechanical Phenomena Robotics Male
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Emotional arousal amplifies competitions across goal-relevant representation: A neurocomputational framework.

Cognition Mar 8, 2019
Emotional arousal often facilitates memory for some aspects of an event while impairing memory for other aspects of the same event. Across three experiments, we found that emotional arousal amplifies competition among goal-relevant representations, s...
Memory, Short-Term Models, Biological Attention Goals Memory Facial Recognition Pattern Recognition, Visual Adult Male Emotions Norepinephrine Humans Neural Networks, Computer Female Young Adult Conditioning, Classical
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Modelling PTSD diagnosis using sleep, memory, and adrenergic metabolites: An exploratory machine-learning study.

Human psychopharmacology Feb 22, 2019
OBJECTIVE: Features of posttraumatic stress disorder (PTSD) typically include sleep disturbances, impaired declarative memory, and hyperarousal. This study evaluated whether these combined features may accurately delineate pathophysiological changes ...
Epinephrine Machine Learning Memory Female Sleep Wake Disorders Young Adult Norepinephrine Humans Adult Sleep Cross-Sectional Studies Memory Disorders Cohort Studies Stress Disorders, Post-Traumatic
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Gated Orthogonal Recurrent Units: On Learning to Forget.

Neural computation Feb 14, 2019
We present a novel recurrent neural network (RNN)-based model that combines the remembering ability of unitary evolution RNNs with the ability of gated RNNs to effectively forget redundant or irrelevant information in its memory. We achieve this by e...
Humans Learning Logic Memory Neural Networks, Computer Computer Simulation Language
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