scholarly journals Low Latency FPGA Implementation of Izhikevich-Neuron Model

2017 ◽  
pp. 210-217 ◽  
Author(s):  
Vitor Bandeira ◽  
Vivianne L. Costa ◽  
Guilherme Bontorin ◽  
Ricardo A. L. Reis
Keyword(s):  
Neuron Model ◽  
Fpga Implementation ◽  
Low Latency ◽  
Izhikevich Neuron Model

An Efficient FPGA Implementation of Izhikevich Neuron Model

2020 ◽  
Author(s):  
Shiyu Yang ◽  
Peilin Liu ◽  
Jianwei Xue ◽  
Rongdi Sun ◽  
Rendong Ying
Keyword(s):  
Neuron Model ◽  
Fpga Implementation ◽  
Izhikevich Neuron Model

FPGA Implementation of a Cortical Network Based on the Hodgkin-Huxley Neuron Model

2012 ◽  
pp. 243-250 ◽  
Author(s):  
Safa Yaghini Bonabi ◽  
Hassan Asgharian ◽  
Reyhaneh Bakhtiari ◽  
Saeed Safari ◽  
Majid Nili Ahmadabadi
Keyword(s):  
Neuron Model ◽  
Fpga Implementation ◽  
Cortical Network

scholarly journals Chaotic States Induced By Resetting Process In Izhikevich Neuron Model

2015 ◽  
Vol 5 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Sou Nobukawa ◽  
Haruhiko Nishimura ◽  
Teruya Yamanishi ◽  
Jian-Qin Liu
Keyword(s):  
Neuron Model ◽  
Large Range ◽  
Neuron Models ◽  
Spike Generation ◽  
Izhikevich Neuron Model ◽  
State Dependent ◽  
Spiking Neuron Models ◽  
Generation Mechanisms ◽  
Spike Patterns ◽  
Transition Scheme

Abstract Several hybrid neuron models, which combine continuous spike-generation mechanisms and discontinuous resetting process after spiking, have been proposed as a simple transition scheme for membrane potential between spike and hyperpolarization. As one of the hybrid spiking neuron models, Izhikevich neuron model can reproduce major spike patterns observed in the cerebral cortex only by tuning a few parameters and also exhibit chaotic states in specific conditions. However, there are a few studies concerning the chaotic states over a large range of parameters due to the difficulty of dealing with the state dependent jump on the resetting process in this model. In this study, we examine the dependence of the system behavior on the resetting parameters by using Lyapunov exponent with saltation matrix and Poincaré section methods, and classify the routes to chaos.

A sub-threshold halo implanted MOS implementation of Izhikevich neuron model

2013 ◽  
Author(s):  
Odilon O. Dutra ◽  
Gustavo D. Colleta ◽  
Luis H. C. Ferreira ◽  
Tales C. Pimenta
Keyword(s):  
Neuron Model ◽  
Izhikevich Neuron Model
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