Studying a Reinforcement Learning Technique for the Spiking Neural Network

Science and Education of the Bauman MSTU ◽

10.7463/0616.0842238 ◽

2016 ◽

Vol 16 (06) ◽

Author(s):

A Kozov ◽

A Chernyshev

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Spiking Neural Network ◽

Learning Technique

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TripleBrain: An Edge Neuromorphic Architecture for High-accuracy Single-layer Spiking Neural Network with On-chip Self-organizing and Reinforcement Learning

10.1109/icta53157.2021.9661702 ◽

2021 ◽

Author(s):

Haibing Wang ◽

Zhen He ◽

Jinsong Rao ◽

Tengxiao Wang ◽

Junxian He ◽

...

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Single Layer ◽

High Accuracy ◽

Spiking Neural Network ◽

On Chip ◽

Neuromorphic Architecture ◽

Self Organizing

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A Spiking Neural Network Based Autonomous Reinforcement Learning Model and Its Application in Decision Making

Advances in Brain Inspired Cognitive Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-319-49685-6_12 ◽

2016 ◽

pp. 125-137

Author(s):

Guixiang Wang ◽

Yi Zeng ◽

Bo Xu

Keyword(s):

Neural Network ◽

Decision Making ◽

Reinforcement Learning ◽

Learning Model ◽

Spiking Neural Network ◽

Reinforcement Learning Model

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Spiking neural network reinforcement learning method based on temporal coding and STDP

Procedia Computer Science ◽

10.1016/j.procs.2018.11.107 ◽

2018 ◽

Vol 145 ◽

pp. 458-463 ◽

Author(s):

Alexander Sboev ◽

Danila Vlasov ◽

Roman Rybka ◽

Alexey Serenko

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Temporal Coding ◽

Spiking Neural Network ◽

Learning Method

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Digital Multiplier-Less Spiking Neural Network Architecture of Reinforcement Learning in a Context-Dependent Task

IEEE Journal on Emerging and Selected Topics in Circuits and Systems ◽

10.1109/jetcas.2020.3031040 ◽

2020 ◽

Vol 10 (4) ◽

pp. 498-511

Author(s):

Hajar Asgari ◽

Babak Mazloom-Nezhad Maybodi ◽

Raphaela Kreiser ◽

Yulia Sandamirskaya

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Network Architecture ◽

Spiking Neural Network ◽

Neural Network Architecture ◽

Context Dependent

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A More Hardware-Oriented Spiking Neural Network Based on Leading Memory Technology and Its Application With Reinforcement Learning

IEEE Transactions on Electron Devices ◽

10.1109/ted.2021.3099769 ◽

2021 ◽

pp. 1-7

Author(s):

Min-Hwi Kim ◽

Sungmin Hwang ◽

Suhyun Bang ◽

Tae-Hyeon Kim ◽

Dong Keun Lee ◽

...

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Spiking Neural Network

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A reinforcement learning algorithm used in analog spiking neural network for an adaptive cardiac Resynchronization Therapy device

Proceedings of 2010 IEEE International Symposium on Circuits and Systems ◽

10.1109/iscas.2010.5537111 ◽

2010 ◽

Author(s):

Qing Sun ◽

Francois Schwartz ◽

Jacques Michel ◽

Yannick Herve

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Cardiac Resynchronization Therapy ◽

Learning Algorithm ◽

Cardiac Resynchronization ◽

Spiking Neural Network ◽

Resynchronization Therapy ◽

Cardiac Resynchronization Therapy Device ◽

Reinforcement Learning Algorithm

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Stimulus-stimulus association via reinforcement learning in spiking neural network

2013 13th International Conference on Intellient Systems Design and Applications ◽

10.1109/isda.2013.6920722 ◽

2013 ◽

Author(s):

Nooraini Yusoff ◽

Farzana Kabir Ahmad

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Spiking Neural Network

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Synaptic plasticity model of a spiking neural network for reinforcement learning

Neurocomputing ◽

10.1016/j.neucom.2007.09.009 ◽

2008 ◽

Vol 71 (13-15) ◽

pp. 3037-3043 ◽

Author(s):

Kyoobin Lee ◽

Dong-Soo Kwon

Keyword(s):

Neural Network ◽

Synaptic Plasticity ◽

Reinforcement Learning ◽

Spiking Neural Network ◽

Plasticity Model

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Reinforcement learning of a spiking neural network in the task of control of an agent in a virtual discrete environment

Nelineinaya Dinamika ◽

10.20537/nd1104009 ◽

2011 ◽

pp. 859-875

Author(s):

O. Y. Sinyavskiy ◽

◽

A. I. Kobrin ◽

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Spiking Neural Network

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A spiking neural network model of memory-based reinforcement learning

Frontiers in Neuroinformatics ◽

10.3389/conf.fninf.2014.08.00040 ◽

2014 ◽

Vol 8 ◽

Author(s):

Nakano Takashi ◽

Otsuka Makoto ◽

Yoshimoto Junichiro ◽

Doya Kenji

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Network Model ◽

Neural Network Model ◽

Spiking Neural Network ◽

Spiking Neural Network Model

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