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

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...

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

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...

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

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

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

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

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

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...

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

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

SNNs incorporate the concept of time into their operating model. The idea is that neurons in the SNN do not transmit information at each propagation...

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...

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

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...

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

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

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

network Autoencoder Biological neuron model Binding problem Cognitive map Deep learning Feature integration theory Grandmother cell Models of neural computation...

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...

quadratic integrate and fire (QIF) model is a biological neuron model that describes action potentials in neurons. In contrast to physiologically accurate...

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"...

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

biological motion is dependent on the sequence of activity, the following model is sequence selective. The activity of the optic flow pattern neuron is...

grouped according to their scope. The most widely used models of information transfer in biological neurons are based on analogies with electrical circuits....

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

combines biological principles with advanced statistics to solve problems in domains such as pattern recognition and game-play. ANNs adopt the basic model of...

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...