Various Threshold Switching Devices for Integrate and Fire Neuron Applications

Materials exhibiting insulator to metal transition (IMT) and transition metal oxides showing threshold switching behavior are considered as promising candidates for selector devices for crossbar non-volatile memory application.

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CRPSO-Based Integrate-and-Fire Neuron Model for Time Series Prediction

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-642-13498-2_14 ◽

2010 ◽

pp. 100-107

Author(s):

Liang Zhao ◽

Feng Qian

Keyword(s):

Time Series ◽

Neuron Model ◽

Time Series Prediction ◽

Integrate And Fire ◽

Integrate And Fire Neuron

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Investigation of capacitor-less integrate and fire neuron by using dual-gate a PN-body tied silicon on insulator field-effect transistor

Japanese Journal of Applied Physics ◽

10.35848/1347-4065/abe3d5 ◽

2021 ◽

Vol 60 (SB) ◽

pp. SBBA04

Author(s):

Takayuki Mori ◽

Jiro Ida

Keyword(s):

Field Effect ◽

Field Effect Transistor ◽

Silicon On Insulator ◽

Integrate And Fire ◽

Dual Gate ◽

Effect Transistor ◽

Integrate And Fire Neuron

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A Novel Area-Efficient Fast CORDIC for Energy-efficient Adaptive Exponential Integrate and Fire Neuron Design

10.1109/icta53157.2021.9661975 ◽

2021 ◽

Author(s):

Yujie Li ◽

Guangyou Hong ◽

Zixuan Peng ◽

Jipeng Wang ◽

Jiarui Xu ◽

...

Keyword(s):

Energy Efficient ◽

Integrate And Fire ◽

Integrate And Fire Neuron ◽

Area Efficient

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Integrate-and-Fire Neuron

Encyclopedia of Neuroscience ◽

10.1007/978-3-540-29678-2_2482 ◽

2008 ◽

pp. 1985-1985

Keyword(s):

Integrate And Fire ◽

Integrate And Fire Neuron

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Understanding of the Abrupt Resistive Transition in Different Types of Threshold Switching Devices From Materials Perspective

IEEE Transactions on Electron Devices ◽

10.1109/ted.2020.2997670 ◽

2020 ◽

Vol 67 (7) ◽

pp. 2878-2883

Author(s):

Sangmin Lee ◽

Jongmyung Yoo ◽

Jaehyuk Park ◽

Hyunsang Hwang

Keyword(s):

Resistive Transition ◽

Threshold Switching ◽

Different Types ◽

Switching Devices

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A CMOS Compatible Bulk FinFET-Based Ultra Low Energy Leaky Integrate and Fire Neuron for Spiking Neural Networks

IEEE Electron Device Letters ◽

10.1109/led.2019.2924259 ◽

2019 ◽

Vol 40 (8) ◽

pp. 1301-1304 ◽

Cited By ~ 7

Author(s):

Dibyendu Chatterjee ◽

Anil Kottantharayil

Keyword(s):

Neural Networks ◽

Low Energy ◽

Spiking Neural Networks ◽

Integrate And Fire ◽

Cmos Compatible ◽

Integrate And Fire Neuron

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VC dimension of an integrate-and-fire neuron model

Proceedings of the ninth annual conference on Computational learning theory - COLT '96 ◽

10.1145/238061.238064 ◽

1996 ◽

Author(s):

Anthony M. Zador ◽

Barak A. Pearlmutter

Keyword(s):

Neuron Model ◽

Vc Dimension ◽

Integrate And Fire ◽

Integrate And Fire Neuron

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A modified adaptive exponential integrate and fire neuron model for circuit implementation of spiking neural networks

2013 21st Iranian Conference on Electrical Engineering (ICEE) ◽

10.1109/iraniancee.2013.6599657 ◽

2013 ◽

Cited By ~ 1

Author(s):

Shaghayegh Gomar ◽

Arash Ahmadi ◽

Elahe Eskandari

Keyword(s):

Neural Networks ◽

Neuron Model ◽

Spiking Neural Networks ◽

Circuit Implementation ◽

Integrate And Fire ◽

Integrate And Fire Neuron

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