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Applications of Deep Learning and Reinforcement Learning to Biological Data
Applications of Deep Learning and Reinforcement Learning to Biological Data
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Applications of Deep Learning and Reinforcement Learning to Biological Data

Mahmud, Mufti ; Kaiser, Mohammed Shamim ; Hussain, Amir ; Vassanelli, Stefano

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2063-2079

United States: IEEE

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2
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
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Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

Sakhavi, Siavash ; Guan, Cuntai ; Yan, Shuicheng

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5619-5629

United States: IEEE

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3
A Survey of Memristive Threshold Logic Circuits
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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4
How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase
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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5
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition
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Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition

Li, Qing ; Wu, Xia ; Liu, Tianming

Medical image analysis, 2021-04, Vol.69, p.101974-101974, Article 101974 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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6
Variable Binding for Sparse Distributed Representations: Theory and Applications
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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7
SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture
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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8
Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data
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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9
Accurate brain age prediction with lightweight deep neural networks
Accurate brain age prediction with lightweight deep neural networks
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Accurate brain age prediction with lightweight deep neural networks

Peng, Han ; Gong, Weikang ; Beckmann, Christian F. ; Vedaldi, Andrea ; Smith, Stephen M.

Medical image analysis, 2021-02, Vol.68, p.101871-101871, Article 101871 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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10
Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction
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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