The nonlinear function in Izhikevich neuron model (IzNM) makes difficult the digital hardware realizations of the model, so this parabolic function has been transformed to piecewise linear (PWL) functions in the literature. Some coefficients have been identified in the PWL functions by utilizing the classical step size method, but the values of these coefficients depend on the sensitivity of the step size considerably. In this study, the coefficients of the PWL functions in the modified IzNM are determined by using Genetic Algorithm (GA). After the parameter determination, the modified IzNM is simulated with the parameters, which are determined by both classical step size and GA. Also, the original and modified IzNMs exhibiting "tonic spiki...
In this paper, we present two versions of a hardware processing architecture for modeling large netw...
Nowadays, understanding the topology of biological neural networks and sampling their activity is po...
The present work investigates the applicability of Genetic Algorithms (GA) to the problem of signal ...
The nonlinear function in Izhikevich neuron model (IzNM) makes difficult the digital hardware realiz...
In the literature, the parabolic function of the Izhikevich Neuron Model (IzNM) is transformed to th...
The main required organ of the biological system is the Central Nervous System (CNS), which can infl...
In this study, a comprehensive comparison about the hardware costs of the original and the modified ...
The Izhikevich neuron model reproduces the spiking and bursting behaviour of certain types of cortic...
This paper describes the development of embedded software for the implementation and testing of the ...
Abstract — There has been a strong push recently to examine biological scale simulations of neuromor...
This paper is concerned with the approximation of the Hindmarsh and Rose neuron model, which is able...
A few individual design examples of programmable device-based biological neuron model implementation...
Spiking neurons and spiking neural circuits are finding uses in a multitude of tasks such as robotic...
eISSN 1648-9144Background and Aim: Computational models of spiking neural networks, employed to unde...
This paper presents a piecewise linear approximation of the nonlinear Wilson (NW) neuron model for t...
In this paper, we present two versions of a hardware processing architecture for modeling large netw...
Nowadays, understanding the topology of biological neural networks and sampling their activity is po...
The present work investigates the applicability of Genetic Algorithms (GA) to the problem of signal ...
The nonlinear function in Izhikevich neuron model (IzNM) makes difficult the digital hardware realiz...
In the literature, the parabolic function of the Izhikevich Neuron Model (IzNM) is transformed to th...
The main required organ of the biological system is the Central Nervous System (CNS), which can infl...
In this study, a comprehensive comparison about the hardware costs of the original and the modified ...
The Izhikevich neuron model reproduces the spiking and bursting behaviour of certain types of cortic...
This paper describes the development of embedded software for the implementation and testing of the ...
Abstract — There has been a strong push recently to examine biological scale simulations of neuromor...
This paper is concerned with the approximation of the Hindmarsh and Rose neuron model, which is able...
A few individual design examples of programmable device-based biological neuron model implementation...
Spiking neurons and spiking neural circuits are finding uses in a multitude of tasks such as robotic...
eISSN 1648-9144Background and Aim: Computational models of spiking neural networks, employed to unde...
This paper presents a piecewise linear approximation of the nonlinear Wilson (NW) neuron model for t...
In this paper, we present two versions of a hardware processing architecture for modeling large netw...
Nowadays, understanding the topology of biological neural networks and sampling their activity is po...
The present work investigates the applicability of Genetic Algorithms (GA) to the problem of signal ...
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