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A Survey of Memristive Threshold Logic Circuits
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A Survey of Memristive Threshold Logic Circuits

Maan, Akshay Kumar ; Jayadevi, Deepthi Anirudhan ; James, Alex Pappachen

IEEE transaction on neural networks and learning systems, 2017-08, Vol.28 (8), p.1734-1746

United States: IEEE

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How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase
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How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase

Todri-Sanial, Aida ; Carapezzi, Stefania ; Delacour, Corentin ; Abernot, Madeleine ; Gil, Thierry ; Corti, Elisabetta ; Karg, Siegfried F. ; Nunez, Juan ; Jimenez, Manuel ; Avedillo, Maria J. ; Linares-Barranco, Bernabe

IEEE transaction on neural networks and learning systems, 2022-05, Vol.33 (5), p.1996-2009

United States: IEEE

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Variable Binding for Sparse Distributed Representations: Theory and Applications
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Variable Binding for Sparse Distributed Representations: Theory and Applications

Frady, Edward Paxon ; Kleyko, Denis ; Sommer, Friedrich T.

IEEE transaction on neural networks and learning systems, 2023-05, Vol.34 (5), p.2191-2204

United States: IEEE

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SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture
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SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture

Liu, Junxiu ; Harkin, Jim ; Maguire, Liam P. ; McDaid, Liam J. ; Wade, John J.

IEEE transaction on neural networks and learning systems, 2018-04, Vol.29 (4), p.1287-1300

United States: IEEE

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Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data
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Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data

Enmei Tu ; Kasabov, Nikola ; Jie Yang

IEEE transaction on neural networks and learning systems, 2017-06, Vol.28 (6), p.1305-1317

United States: IEEE

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Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction
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Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

Gao, Shangce ; Zhou, Mengchu ; Wang, Yirui ; Cheng, Jiujun ; Yachi, Hanaki ; Wang, Jiahai

IEEE transaction on neural networks and learning systems, 2019-02, Vol.30 (2), p.601-614

United States: IEEE

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Spiking Neural Networks: Background, Recent Development and the NeuCube Architecture
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Spiking Neural Networks: Background, Recent Development and the NeuCube Architecture

Tan, Clarence ; Šarlija, Marko ; Kasabov, Nikola

Neural processing letters, 2020-10, Vol.52 (2), p.1675-1701 [Periódico revisado por pares]

New York: Springer US

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Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks
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Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks

Song, Zengjie ; Zhang, Jiangshe ; Shi, Guang ; Liu, Junmin

IEEE transaction on neural networks and learning systems, 2019-04, Vol.30 (4), p.1150-1165

United States: IEEE

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Continuous Dropout
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Continuous Dropout

Shen, Xu ; Tian, Xinmei ; Liu, Tongliang ; Xu, Fang ; Tao, Dacheng

IEEE transaction on neural networks and learning systems, 2018-09, Vol.29 (9), p.3926-3937

United States: IEEE

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A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks
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A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks

Taherkhani, Aboozar ; Belatreche, Ammar ; Yuhua Li ; Maguire, Liam P.

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5394-5407

United States: IEEE

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