Astrocyte cells form the largest cell population in brain and can influence neuron behavior. These provide appropriate feedback control regulating neuronal activities Central Nervous System (CNS). This paper presents a set of equations as model to describe interactions between neurons astrocyte. A VHDL–AMS-based tripartite synapse that includes pre-synaptic neuron, synaptic terminal, post-synap...

The izhikevich neuron model is well known for mimicking almost all dynamics of the biological neurons like Hodgkin-Huxley neuron models with much less hardware resources. Despite its versatility and biological plausibility, izhikevich neuron model is still not suited for a large scale neural network simulation due to its complexity compared to the simpler neuron models like integrate-and-fire m...

In this paper the electronic circuit implementation of a fuzzy neuron model with a fuzzy Gupta integrator is presented. This neuron model simulates the performance and the fuzzy response of a fast-spiking biological neuron. The fuzzy neuron response is analyzed for two classical (non-fuzzy) input signals, the results are spike trains with relative and absolute refractory period and an axonal de...

Introduction: Donepezil (DON), an Acetylcholinesterase Inhibitor (AChEI), is widely used in the treatment of Alzheimer’s Disease (AD). The current study aimed at evaluating the effect of donepezil hydrochloride on pyramidal neuron response in CA1 region of a rat model of AD. Methods: In the current experimental study, adult male Wistar rats were randomly divided into four groups: Nucleus Basal...

We investigate bifurcations observed in a Morris-Lecar neuron model. Especially, we paid attention to the change of bifurcation structures between type I and type II models. We found that the transition of properties between type I and II is controlled by only one-dimensional variation of a potential in a voltage-dependent function.

A good approximation to the integrate-and-fire model with diffusive noise can be obtained using a noisy threshold model. This allows the response of a population of noisy neurons to a current transient to be described using a linear filter. Here we apply these analytical results to the peristimulus time histogram (PSTH) of a single neuron. The effect of the noise on the PSTH in our model is sim...

In this work we describe experimental results regarding an optoelectronic implementation of a dynamic neuron model. The model is a variation of the FitzHugh-Nagumo equations, and it is implemented with linear optics and simple linear electronic feedback. The demonstration of dynamic features of the isolated neuron and of optical coupling between neurons is discussed, as well as the computationa...

This paper presents an excitatory CMOS neuron oscillator circuit design, which can synchronize two neuron-bursting patterns. The excitatory CMOS neuron oscillator is composed of CMOS neurons and CMOS excitatory synapses. And the neurons and synapses are connected into a close loop. The CMOS neuron is based on the Hindmarsh-Rose (HR) neuron model and excitatory synapse is based on the chemical s...