Selective control of individual neurons could clarify neural functions and aid disease treatments. To target specific neurons, it may be useful to focus on ganglionic neuron clusters, which are found in the peripheral nervous system in vertebrates. Because neuron cell bodies are found primarily near the surface of invertebrate ganglia, and often found near the surface of vertebrate ganglia, we ...

In this paper we have introduced and investigated the collective behavior of a network memristive Hindmarsh-Rose (HR) neurons. The proposed model was built considering autapse traditional 2D HR neuron. Using one-parameter bifurcation diagram its corresponding maximal Lyapunov exponent graph, showed that able to exhibit reverse period doubling route chaos, phenomenon interior exterior crises. Th...

In this work we make a bifurcation analysis for a single compartment representation of Traub model, one of the most important conductance-based models. The analysis focus in two principal parameters: current and leakage conductance. Study of stable and unstable solutions are explored; also Hop-bifurcation and frequency interpretation when current varies is examined. This study allows having con...

The Alzheimer’s Disease main impact on the brain is memory loss effect. Therefore, in “neuron world” this makes a disorder of signal impulses and disconnects neurons that causes neuron death loss. research aim to determine average develop prediction models for artificial network. Izhikevich neural networking model often used constructing electrical modeling. rhythm spikes are as characteristics...

Online Resource A: Relationship of the abstract neuron model to some widely-used neuron models Here, we demonstrate that the properties that our abstract model of the neuron is contingent on are satisfied, up to arbitrary accuracy, by several widely-used neuron models such as the Leaky Integrate-and-Fire Model and Spike Response Model. Leaky Integrate-and-Fire Model Consider the standard form o...

The electrical activity of a neuron can affect its intrinsic physiological characteristics through a wide range of processes. We study a computer-simulated multicompartment model neuron in which channel density depends on local Ca2+ concentrations. This has three interesting consequences for the spatial distribution of conductances and the physiological behavior of the neuron: (i) the model neu...

This paper describes the Synapto-dendritic Kernel Adapting Neuron (SKAN), a simple spiking neuron model that performs statistical inference and unsupervised learning of spatiotemporal spike patterns. SKAN is the first proposed neuron model to investigate the effects of dynamic synapto-dendritic kernels and demonstrate their computational power even at the single neuron scale. The rule set defin...

This paper describes the Synapto-dendritic Kernel Adapting Neuron (SKAN), a simple spiking neuron model that performs statistical inference and unsupervised learning of spatiotemporal spike patterns. SKAN is the first proposed neuron model to investigate the effects of dynamic synapto-dendritic kernels and demonstrate their computational power even at the single neuron scale. The rule-set defin...

The brain is usually considered to be an extraordinarily complex object while a neuron is believed an ideal logical element. This idealization does not correspond to the real neural system properties. Experimental data give trustworthy evidence that a neuron is a microcosm of the brain. The firing threshold seems to be a dynamic property of an excitable membrane. Neurons appear to evaluate the ...

By means of the coincidence degree theory, we give some criteria for the existence of periodic solutions of a three-neuron network model. @ 2003 Elsevier Ltd. All rights reserved. Keywords-Three-neuron network model, Periodic solution, The continuation theorem.