A modified spiking neuron circuit with memory threshold and its application in image encryption

2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS) ◽

10.1109/icsess.2015.7339193 ◽

2015 ◽

Author(s):

Rongjun Ge ◽

Liang Zhang ◽

Tongfeng Zhang ◽

Shouliang Li ◽

Yide Ma

Keyword(s):

Image Encryption ◽

Spiking Neuron ◽

Neuron Circuit ◽

With Memory

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A modified pulse-coupled spiking neuron circuit with memory threshold and its application

IEICE Electronics Express ◽

10.1587/elex.13.20151121 ◽

2016 ◽

Vol 13 (8) ◽

pp. 20151121-20151121 ◽

Cited By ~ 3

Author(s):

Rongjun Ge ◽

Liang Zhang ◽

Tongfeng Zhang ◽

Shouliang Li ◽

Guan Gui ◽

...

Keyword(s):

Spiking Neuron ◽

Neuron Circuit ◽

With Memory

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Stochastic STT-MRAM Spiking Neuron Circuit

2020 International Symposium on VLSI Technology, Systems and Applications (VLSI-TSA) ◽

10.1109/vlsi-tsa48913.2020.9203701 ◽

2020 ◽

Author(s):

Fu-Xiang Liang ◽

Paritosh Sahu ◽

Ming-Hung Wu ◽

Jeng-Hua Wei ◽

Shyh-Shyuan Sheu ◽

...

Keyword(s):

Spiking Neuron ◽

Neuron Circuit

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A BIMOS-based 2T1C analogue spiking neuron circuit integrated in 28 nm FD-SOI technology for neuromorphic application

Solid-State Electronics ◽

10.1016/j.sse.2019.107717 ◽

2020 ◽

Vol 168 ◽

pp. 107717

Author(s):

Thomas Bédécarrats ◽

Claire Fenouillet-Béranger ◽

Sorin Cristoloveanu ◽

Philippe Galy

Keyword(s):

Spiking Neuron ◽

Neuron Circuit ◽

Soi Technology ◽

28 Nm

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Memristor-based multi-synaptic spiking neuron circuit for spiking neural network

Chinese Physics B ◽

10.1088/1674-1056/ac380b ◽

2021 ◽

Author(s):

Wenwu Jiang ◽

Jie Li ◽

Hongbo Liu ◽

Xicong Qian ◽

Yuan Ge ◽

...

Keyword(s):

Neural Network ◽

Spiking Neural Network ◽

Spiking Neuron ◽

Neuron Circuit

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A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model

10.1007/978-3-030-86383-8_14 ◽

2021 ◽

pp. 177-181

Author(s):

Shigeo Sato ◽

Satoshi Moriya ◽

Yuka Kanke ◽

Hideaki Yamamoto ◽

Yoshihiko Horio ◽

...

Keyword(s):

Spiking Neuron ◽

Neuron Circuit ◽

Izhikevich Model

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Low Power Compact Analog Spiking Neuron Circuit Using Exponential Positive Feedback With Adaptation and Bursting Capability

2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS) ◽

10.1109/mwscas48704.2020.9184447 ◽

2020 ◽

Author(s):

Md Munir Hasan ◽

Jeremy Holleman

Keyword(s):

Low Power ◽

Positive Feedback ◽

Spiking Neuron ◽

Neuron Circuit

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An Image Encryption System by Cellular Automata with Memory

2008 Third International Conference on Availability, Reliability and Security ◽

10.1109/ares.2008.121 ◽

2008 ◽

Cited By ~ 21

Author(s):

Farhad Maleki ◽

Ali Mohades ◽

S. Mehdi Hashemi ◽

Mohammad Ebrahim Shiri

Keyword(s):

Cellular Automata ◽

Image Encryption ◽

With Memory

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Self-Testing Analog Spiking Neuron Circuit

2019 16th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD) ◽

10.1109/smacd.2019.8795234 ◽

2019 ◽

Cited By ~ 2

Author(s):

Sarah A. El-Sayed ◽

Luis A. Camunas-Mesa ◽

Bernabe Linares-Barranco ◽

Haralampos-G. Stratigopoulos

Keyword(s):

Spiking Neuron ◽

Neuron Circuit ◽

Self Testing

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Simulation of a spiking neuron circuit using carbon nanotube transistors

10.1063/1.4953134 ◽

2016 ◽

Author(s):

Montassar Najari ◽

Tarek El-Grour ◽

Sami Jelliti ◽

Othman Mousa Hakami

Keyword(s):

Carbon Nanotube ◽

Spiking Neuron ◽

Carbon Nanotube Transistors ◽

Neuron Circuit ◽

Nanotube Transistors

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A spiking neuron circuit based on a carbon nanotube transistor

Nanotechnology ◽

10.1088/0957-4484/23/27/275202 ◽

2012 ◽

Vol 23 (27) ◽

pp. 275202 ◽

Cited By ~ 13

Author(s):

C-L Chen ◽

K Kim ◽

Q Truong ◽

A Shen ◽

Z Li ◽

...

Keyword(s):

Carbon Nanotube ◽

Spiking Neuron ◽

Neuron Circuit

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