Англо-русский толковый словарь терминов и сокращений по ВТ, Интернету и программированию. . 1998-2007.
Anti-Hebbian learning — In neuroethology and the study of learning, anti Hebbian learning describes a particular class of learning rule by which synaptic plasticity can be controlled. These rules are based on a reversal of Hebb’s postulate, and therefore can be… … Wikipedia
Hebbian theory — describes a basic mechanism for synaptic plasticity wherein an increase in synaptic efficacy arises from the presynaptic cell s repeated and persistent stimulation of the postsynaptic cell. Introduced by Donald Hebb in 1949, it is also called… … Wikipedia
Generalized Hebbian Algorithm — The Generalized Hebbian Algorithm (GHA), also known in the literature as Sanger s rule, is a linear feedforward neural network model for unsupervised learning with applications primarily in principal components analysis. First defined in 1989cite … Wikipedia
Competitive learning — is a form of unsupervised learning in artificial neural networks, in which nodes compete for the right to respond to a subset of the input data.[1] A variant of Hebbian learning, competitive learning works by increasing the specialization of each … Wikipedia
Long-term potentiation — (LTP) is a persistent increase in synaptic strength following high frequency stimulation of a chemical synapse. Studies of LTP are often carried out in slices of the hippocampus, an important organ for learning and memory. In such studies,… … Wikipedia
Eric Kandel — Infobox Scientist box width = name = Eric Richard Kandel image size = caption = Kandel at Lange Nacht der Wissenschaften (Long Night of Science) in Austria in 2006 birth date = birth date and age|1929|11|07|df=yes birth place = Vienna, Austria… … Wikipedia
Ocular dominance column — Ocular dominance columns are stripes of neurons in the visual cortex of certain mammals (including humans) that respond preferentially to input from one eye or the other.[1] The columns span multiple cortical layers, and are laid out in a striped … Wikipedia
Gaussian adaptation — Articleissues citations missing = July 2008 COI = y expert = Mathematics notability = July 2008 jargon = July 2008 OR = September 2007 primarysources = July 2008 technical = July 2008Gaussian adaptation (GA) is an evolutionary algorithm designed… … Wikipedia
BCM theory — BCM theory, BCM synaptic modification, or the BCM rule, named for Elie Bienenstock, Leon Cooper, and Paul Munro, is a physical theory of learning in the visual cortex developed in 1981. Due to its successful experimental predictions, the theory… … 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
Oja's rule — Oja s learning rule, or simply Oja s rule, named after a Finnish computer scientist Erkki Oja, is a model of how neurons in the brain or in artificial neural networks change connection strength, or learn, over time. It is a modification of the… … Wikipedia
