stochastic neuron

См. также в других словарях:

• Calculateur stochastique — Un calculateur stochastique est un concept déjà ancien (pour la jeune histoire de l informatique) et contemporain de recherches et applications développées à la toute fin de la décennie 1950 et jusqu au milieu de la décennie 1970. Leur définition …   Wikipédia en Français

• Neural cryptography — is a branch of cryptography dedicated to analyzing the application of stochastic algorithms, especially neural network algorithms, for use in encryption and cryptanalysis. Contents 1 Definition 2 Applications 3 Neural key e …   Wikipedia

• Radial basis function network — A radial basis function network is an artificial neural network that uses radial basis functions as activation functions. They are used in function approximation, time series prediction, and control.Network architectureRadial basis function (RBF) …   Wikipedia

• Cox process — A Cox process (named after the statistician Sir David Cox), also known as a doubly stochastic Poisson process or mixed Poisson process, is a stochastic process which is a generalization of a Poisson process. In the case of Cox processes, the time …   Wikipedia

• automata theory — Body of physical and logical principles underlying the operation of any electromechanical device (an automaton) that converts information input in one form into another, or into some action, according to an algorithm. Norbert Wiener and Alan M.… …   Universalium

• Backpropagation — Backpropagation, or propagation of error, is a common method of teaching artificial neural networks how to perform a given task. It was first described by Paul Werbos in 1974, but it wasn t until 1986, through the work of David E. Rumelhart,… …   Wikipedia

• Neural network — For other uses, see Neural network (disambiguation). Simplified view of a feedforward artificial neural network The term neural network was traditionally used to refer to a network or circuit of biological neurons.[1] The modern usage of the term …   Wikipedia

• Computational neuroscience — is the study of brain function in terms of the information processing properties of the structures that make up the nervous system.[1] It is an interdisciplinary science that links the diverse fields of neuroscience, cognitive science and… …   Wikipedia

• Neural coding — is a neuroscience related field concerned with how sensory and other information is represented in the brain by networks of neurons. The main goal of studying neural coding is to characterize the relationship between the stimulus and the… …   Wikipedia

• Neural oscillation — is rhythmic or repetitive neural activity in the central nervous system. Neural tissue can generate oscillatory activity in many ways, driven either by mechanisms localized within individual neurons or by interactions between neurons. In… …   Wikipedia

• Delta rule — The delta rule is a gradient descent learning rule for updating the weights of the artificial neurons in a single layer perceptron. It is a special case of the more general backpropagation algorithm. For a neuron with activation function the… …   Wikipedia