Leaky Integrate-and-Fire Neuron Circuit Based on Floating-Gate Integrator

The artificial spiking neural network (SNN) is promising and has been brought to the notice of the theoretical neuroscience and neuromorphic engineering research communities. In this light, we propose a new type of artificial spiking neuron based on leaky integrate-and-fire (LIF) behavior. A distinc...

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Bibliographic Details
Published in:Frontiers in neuroscience 2016-05, Vol.10, p.212-212
Main Authors: Kornijcuk, Vladimir, Lim, Hyungkwang, Seok, Jun Yeong, Kim, Guhyun, Kim, Seong Keun, Kim, Inho, Choi, Byung Joon, Jeong, Doo Seok
Format: Article
Language:English
Subjects:
Computational neuroscience
Dunga (Carlos Caetano Bledorn Verri)
Engineering
Firing pattern
Materials science
Neocortex
Nervous system
Neural networks
Neurons
Neuroscience
Noise
Simulation
Transistors
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Summary:The artificial spiking neural network (SNN) is promising and has been brought to the notice of the theoretical neuroscience and neuromorphic engineering research communities. In this light, we propose a new type of artificial spiking neuron based on leaky integrate-and-fire (LIF) behavior. A distinctive feature of the proposed FG-LIF neuron is the use of a floating-gate (FG) integrator rather than a capacitor-based one. The relaxation time of the charge on the FG relies mainly on the tunnel barrier profile, e.g., barrier height and thickness (rather than the area). This opens up the possibility of large-scale integration of neurons. The circuit simulation results offered biologically plausible spiking activity (
ISSN:1662-4548
1662-453X
1662-453X
DOI:10.3389/fnins.2016.00212