Multi-Sample Online Learning for Spiking Neural Networks Based on Generalized Expectation Maximization

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp39728.2021.9414804 ◽

2021 ◽

Author(s):

Hyeryung Jang ◽

Osvaldo Simeone

Keyword(s):

Neural Networks ◽

Online Learning ◽

Expectation Maximization ◽

Spiking Neural Networks ◽

Generalized Expectation

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Spiking Neural Networks and online learning: An overview and perspectives

Neural Networks ◽

10.1016/j.neunet.2019.09.004 ◽

2020 ◽

Vol 121 ◽

pp. 88-100 ◽

Author(s):

Jesus L. Lobo ◽

Javier Del Ser ◽

Albert Bifet ◽

Nikola Kasabov

Keyword(s):

Neural Networks ◽

Online Learning ◽

Spiking Neural Networks

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One-Pass Online Learning Based on Gradient Descent for Multilayer Spiking Neural Networks

IEEE Transactions on Cognitive and Developmental Systems ◽

10.1109/tcds.2021.3140115 ◽

2022 ◽

pp. 1-1

Author(s):

Xianghong Lin ◽

Tiandou Hu ◽

Xiangwen Wang

Keyword(s):

Neural Networks ◽

Online Learning ◽

Gradient Descent ◽

Spiking Neural Networks ◽

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Variable-structure-systems based approach for online learning of spiking neural networks and its experimental evaluation

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2014.03.002 ◽

2014 ◽

Vol 351 (6) ◽

pp. 3269-3285 ◽

Author(s):

Y. Oniz ◽

O. Kaynak

Keyword(s):

Neural Networks ◽

Online Learning ◽

Experimental Evaluation ◽

Variable Structure ◽

Spiking Neural Networks ◽

Variable Structure Systems

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Architectural exploration for on-chip, online learning in spiking neural networks

2014 International Symposium on Integrated Circuits (ISIC) ◽

10.1109/isicir.2014.7029541 ◽

2014 ◽

Author(s):

Subhrajit Roy ◽

Sougata Kumar Kar ◽

Arindam Basu

Keyword(s):

Neural Networks ◽

Online Learning ◽

Spiking Neural Networks ◽

On Chip ◽

Architectural Exploration

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Evolving Spiking Neural Networks for online learning over drifting data streams

Neural Networks ◽

10.1016/j.neunet.2018.07.014 ◽

2018 ◽

Vol 108 ◽

pp. 1-19 ◽

Author(s):

Jesus L. Lobo ◽

Ibai Laña ◽

Javier Del Ser ◽

Miren Nekane Bilbao ◽

Nikola Kasabov

Keyword(s):

Neural Networks ◽

Online Learning ◽

Data Streams ◽

Spiking Neural Networks

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A Developmental Method for Evolving Large-Scale Spiking Neural Networks

Chinese Journal of Computers ◽

10.3724/sp.j.1016.2012.02633 ◽

2012 ◽

Vol 35 (12) ◽

pp. 2633 ◽

Author(s):

Xiang-Hong LIN ◽

Tian-Wen ZHANG ◽

Gui-Cang ZHANG

Keyword(s):

Neural Networks ◽

Large Scale ◽

Spiking Neural Networks

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Multi-Tone Phase Coding of Interaural Time Difference for Sound Source Localization with Spiking Neural Networks

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2021.3100684 ◽

2021 ◽

pp. 1-1

Author(s):

Zihan Pan ◽

Malu Zhang ◽

Jibin Wu ◽

Jiadong Wang ◽

Haizhou Li

Keyword(s):

Neural Networks ◽

Source Localization ◽

Sound Source ◽

Interaural Time Difference ◽

Time Difference ◽

Spiking Neural Networks ◽

Sound Source Localization ◽

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Using Noisy Word-Level Labels to Train a Phoneme Recognizer based on Neural Networks by Expectation Maximization

Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition ◽

10.1145/3373509.3373538 ◽

2019 ◽

Author(s):

Chen Li ◽

Bo Zhang ◽

Shan Huang ◽

Zhenhuan Liu

Keyword(s):

Neural Networks ◽

Expectation Maximization ◽

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Optimizing the parameters of spiking neural networks for mobile robot implementation

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) ◽

10.1109/iccke50421.2020.9303660 ◽

2020 ◽

Author(s):

Vahid Azimirad ◽

Saleh Valizadeh Sotubadi ◽

Farrokh Janabi Sharifi

Keyword(s):

Neural Networks ◽

Mobile Robot ◽

Spiking Neural Networks

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DeepTempo: A Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Networks

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2021.3063784 ◽

2021 ◽

pp. 1-1

Author(s):

Cong Shi ◽

Tengxiao Wang ◽

Junxian He ◽

Jianghao Zhang ◽

Liyuan Liu ◽

...

Keyword(s):

Neural Networks ◽

Learning Rule ◽

Spiking Neural Networks ◽

Direct Feedback

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