Biological neuron models, also known as spiking neuron models, are mathematical descriptions of the conduction of electrical signals in neurons. Neurons...

easier. Basically, compartmental modelling of dendrites is a very helpful tool to develop new biological neuron models. Dendrites are very important because...

The Morris–Lecar model is a biological neuron model developed by Catherine Morris and Harold Lecar to reproduce the variety of oscillatory behavior in...

An artificial neuron is a mathematical function conceived as a model of a biological neuron in a neural network. The artificial neuron is the elementary...

complex in vivo systems a mathematical model of a biological system, e.g., the biological neuron model, a mathematical description of the properties of...

signals to other parts of the brain, neurons can modify the rules which neighboring neurons to in a process called biological synchronization. The figure to...

units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models. While individual neurons are simple...

The FitzHugh–Nagumo model (FHN) describes a prototype of an excitable system (e.g., a neuron). It is an example of a relaxation oscillator because, if...

The theta model, or Ermentrout–Kopell canonical model, is a biological neuron model originally developed to mathematically describe neurons in the animal...

but one neuron cannot be functionally replaced by one of another type (Llinás' law). Artificial neuron Bidirectional cell Biological neuron model Cellular...

simple model, ignoring much of the biological detail. Hence there is a drive to produce simplified neuron models that can retain significant biological fidelity...

electric car model from LeEco LeCar, French transport network in Southern France (formerly Cartreize). Morris–Lecar model, biological neuron model Le Supercar...

neural networks, machine learning models inspired by biological neural networks. They consist of artificial neurons, which are mathematical functions...

do not match biological networks and do not mimic neurons.[citation needed] The biology-inspired Hodgkin–Huxley model of a spiking neuron was proposed...

brain. One of the earliest models of the neuron was based on mathematical and physical modelling: the integrate-and-fire model, which was developed in 1907...

bounds. The perceptron is a simplified model of a biological neuron. While the complexity of biological neuron models is often required to fully understand...

central pattern generators. Anode break excitation Bioelectricity Biological neuron model Bursting Central pattern generator Chronaxie Frog battery Law of...

The spike response model (SRM) is a spiking neuron model in which spikes are generated by either a deterministic or a stochastic threshold process. In...

such as "living" neurons. Wetware computers composed of neurons are different than conventional computers because they use biological materials, and offer...

nodes called artificial neurons, which loosely model the neurons in the brain. Artificial neuron models that mimic biological neurons more closely have also...

mirror neuron is a neuron that fires both when an animal acts and when the animal observes the same action performed by another. Thus, the neuron "mirrors"...

Hines's NEURON software, the simulation does not consist simply of an artificial neural network, but involves a partially biologically realistic model of neurons...

for modeling integrated system of biological components that carry information signal from one neuron to another via intermediate active neurons that...

The Rulkov map is a two-dimensional iterated map used to model a biological neuron. It was proposed by Nikolai F. Rulkov in 2001. The use of this map...

model relatively simple and provides a good qualitative description of the many different patterns that are observed empirically. Biological neuron models...

terminal of a neuron (the presynaptic neuron), and bind to and react with the receptors on the dendrites of another neuron (the postsynaptic neuron) a short...

John Hopfield, consists of a single layer of neurons, where each neuron is connected to every other neuron except itself. These connections are bidirectional...

A binding neuron (BN) is an abstract concept of processing of input impulses in a generic neuron based on their temporal coherence and the level of neuronal...

individual neurons, to models of how behaviour can arise from abstract neural modules that represent complete subsystems. A model of a biological neuron is a...

integrate-and-fire model (EIF) is a biological neuron model, a simple modification of the classical leaky integrate-and-fire model describing how neurons produce...