AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 571 to 580 of 816 articles

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...
Databases, Factual Memory, Short-Term Memory, Long-Term Neural Networks, Computer
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Selection and Optimization of Temporal Spike Encoding Methods for Spiking Neural Networks.

IEEE transactions on neural networks and learning systems Apr 12, 2019
Spiking neural networks (SNNs) receive trains of spiking events as inputs. In order to design efficient SNN systems, real-valued signals must be optimally encoded into spike trains so that the task-relevant information is retained. This paper provide...
Signal-To-Noise Ratio Signal Processing, Computer-Assisted Neural Networks, Computer Models, Neurological Reproducibility of Results Algorithms Action Potentials
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Metacognitive Octonion-Valued Neural Networks as They Relate to Time Series Analysis.

IEEE transactions on neural networks and learning systems Apr 12, 2019
In this paper, a metacognitive octonion-valued neural network (Mc-OVNN) learning algorithm and its application to diverse time series prediction are presented. The Mc-OVNN is comprised of two components: the octonion-valued neural network that repres...
Renewable Energy Humans Cognition Economics Artificial Intelligence Petroleum Machine Learning Algorithms Neural Networks, Computer Forecasting
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Hidden Bursting Firings and Bifurcation Mechanisms in Memristive Neuron Model With Threshold Electromagnetic Induction.

IEEE transactions on neural networks and learning systems Apr 11, 2019
Memristors can be employed to mimic biological neural synapses or to describe electromagnetic induction effects. To exhibit the threshold effect of electromagnetic induction, this paper presents a threshold flux-controlled memristor and examines its ...
Electromagnetic Fields Electrophysiological Phenomena Neurons Synapses Neural Networks, Computer Computer Simulation Models, Neurological Algorithms
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PCNN Mechanism and its Parameter Settings.

IEEE transactions on neural networks and learning systems Apr 11, 2019
The pulse-coupled neural network (PCNN) model is a third-generation artificial neural network without training that uses the synchronous pulse bursts of neurons to process digital images, but the lack of in-depth theoretical research limits its exten...
Neural Networks, Computer Models, Neurological Neurons Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Models, Theoretical Algorithms Electrophysiological Phenomena
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Information Transmitted From Bioinspired Neuron-Astrocyte Network Improves Cortical Spiking Network's Pattern Recognition Performance.

IEEE transactions on neural networks and learning systems Apr 11, 2019
We trained two spiking neural networks (SNNs), the cortical spiking network (CSN) and the cortical neuron-astrocyte network (CNAN), using a spike-based unsupervised method, on the MNIST and alpha-digit data sets and achieve an accuracy of 96.1% and 7...
Alpha Rhythm Cerebral Cortex Electroencephalography Phase Synchronization Computer Simulation Action Potentials Machine Learning Neurons Neural Networks, Computer Astrocytes Algorithms Humans Pattern Recognition, Automated
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Natural Language Statistical Features of LSTM-Generated Texts.

IEEE transactions on neural networks and learning systems Apr 3, 2019
Long short-term memory (LSTM) networks have recently shown remarkable performance in several tasks that are dealing with natural language generation, such as image captioning or poetry composition. Yet, only few works have analyzed text generated by ...
Humans Neural Networks, Computer Markov Chains Natural Language Processing
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Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons.

IEEE transactions on neural networks and learning systems Mar 18, 2019
Multicompartment emulation is an essential step to enhance the biological realism of neuromorphic systems and to further understand the computational power of neurons. In this paper, we present a hardware efficient, scalable, and real-time computing ...
Computers Models, Neurological Neural Networks, Computer Computer Simulation Neurons Algorithms Computer Systems
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Augmenting Recurrent Neural Networks Resilience by Dropout.

IEEE transactions on neural networks and learning systems Mar 18, 2019
This brief discusses the simple idea that dropout regularization can be used to efficiently induce resiliency to missing inputs at prediction time in a generic neural network. We show how the approach can be effective on tasks where imputation strate...
Algorithms Humans Data Interpretation, Statistical Neural Networks, Computer Deep Learning Reproducibility of Results Activities of Daily Living
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Automatic Sleep Staging Employing Convolutional Neural Networks and Cortical Connectivity Images.

IEEE transactions on neural networks and learning systems Mar 15, 2019
Understanding of the neuroscientific sleep mechanisms is associated with mental/cognitive and physical well-being and pathological conditions. A prerequisite for further analysis is the identification of the sleep macroarchitecture through manual sle...
Electroencephalography Phase Synchronization Adult Neural Networks, Computer Male Wavelet Analysis Middle Aged Algorithms Sleep Stages Humans Reproducibility of Results Deep Learning Young Adult Automation Signal Processing, Computer-Assisted Electroencephalography Cerebral Cortex
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