AIMC Topic: Memory

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A deep neural network model for multi-view human activity recognition.

PloS one Jan 7, 2022
Multiple cameras are used to resolve occlusion problem that often occur in single-view human activity recognition. Based on the success of learning representation with deep neural networks (DNNs), recent works have proposed DNNs models to estimate hu...
Humans Memory Human Activities Recognition, Psychology Neural Networks, Computer Learning Attention
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Measuring context dependency in birdsong using artificial neural networks.

PLoS computational biology Dec 28, 2021
Context dependency is a key feature in sequential structures of human language, which requires reference between words far apart in the produced sequence. Assessing how long the past context has an effect on the current status provides crucial inform...
Cluster Analysis Neural Networks, Computer Animals Vocalization, Animal Memory Algorithms Finches Male Computational Biology
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Retrospective memory integration accompanies reconfiguration of neural cell assemblies.

Hippocampus Dec 21, 2021
Memory is a dynamic process that is based on and can be altered by experiences. Integrating memories of multiple experiences (memory integration) is the basis of flexible and complex decision-making. However, the mechanism of memory integration in ne...
Neuronal Plasticity Memory Artificial Intelligence Retrospective Studies Neural Networks, Computer
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Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning.

Scientific reports Nov 9, 2021
The ability to forecast seizures minutes to hours in advance of an event has been verified using invasive EEG devices, but has not been previously demonstrated using noninvasive wearable devices over long durations in an ambulatory setting. In this s...
Male Middle Aged Deep Learning Young Adult Adult Seizures Wrist Memory Wearable Electronic Devices Cohort Studies Electroencephalography Humans Forecasting Female
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Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging.

Nature communications Sep 28, 2021
Medical imaging is a central part of clinical diagnosis and treatment guidance. Machine learning has increasingly gained relevance because it captures features of disease and treatment response that are relevant for therapeutic decision-making. In cl...
Diagnostic Imaging Memory Tomography, X-Ray Computed Learning Lung Neural Networks, Computer Machine Learning Humans
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Multiscale representations of community structures in attractor neural networks.

PLoS computational biology Aug 23, 2021
Our cognition relies on the ability of the brain to segment hierarchically structured events on multiple scales. Recent evidence suggests that the brain performs this event segmentation based on the structure of state-transition graphs behind sequent...
Hippocampus Humans Neural Networks, Computer Memory Models, Neurological Theta Rhythm
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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...
Models, Neurological Humans Neural Networks, Computer Algorithms Databases, Factual Deep Learning Memory Association Learning Synapses Speech Recognition Software
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Dual Memory LSTM with Dual Attention Neural Network for Spatiotemporal Prediction.

Sensors (Basel, Switzerland) Jun 21, 2021
Spatiotemporal prediction is challenging due to extracting representations being inefficient and the lack of rich contextual dependences. A novel approach is proposed for spatiotemporal prediction using a dual memory LSTM with dual attention neural n...
Memory Neural Networks, Computer
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Digital electronics in fibres enable fabric-based machine-learning inference.

Nature communications Jun 3, 2021
Digital devices are the essential building blocks of any modern electronic system. Fibres containing digital devices could enable fabrics with digital system capabilities for applications in physiological monitoring, human-computer interfaces, and on...
Memory Textiles Digital Technology Body Temperature Humans Neural Networks, Computer Machine Learning Monitoring, Physiologic Wearable Electronic Devices User-Computer Interface Remote Sensing Technology Electronics
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Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization.

IEEE transactions on neural networks and learning systems Apr 2, 2021
The Bayesian method is capable of capturing real-world uncertainties/incompleteness and properly addressing the overfitting issue faced by deep neural networks. In recent years, Bayesian neural networks (BNNs) have drawn tremendous attention to artif...
Software Validation Computers Deep Learning Computer Systems Bayes Theorem Memory Humans Artificial Intelligence Software Algorithms Neural Networks, Computer
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