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1 synaptic weight
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2 weight
1) веса) сила тяжестиб) весовой коэффициент, весовой множитель или весовая функция || весовой2) взвешивать, использовать весовые коэффициенты, весовые множители или весовую функцию3) груз; нагрузка || нагружать5) масса7) насыщенность шрифта, степень жирности шрифта; чернота шрифта•- weight of representation
- weight of tensor
- weight of tree
- weight of tree's point
- antiskate bias weight
- balancing weight
- book weight
- connection weight
- constant weight
- counter weight of tone arm
- criterion weight
- feedback weight
- feedforward weight
- font weight
- hidden-to-output weights
- hidden-to-hidden weights
- input-to-hidden weights
- lag weights
- learned weight
- molecular weight
- quiescent weight
- relative weight
- sliding weight
- statistical weight
- synaptic weight
- tap weight
- topological weight
- total weight
- tracking weight
См. также в других словарях:
Synaptic weight — In neuroscience and computer science, synaptic weight refers to the strength or amplitude of a connection between two nodes, corresponding in biology to the amount of influence the firing of one neuron has on another. The term is typically used… … Wikipedia
Synaptic plasticity — In neuroscience, synaptic plasticity is the ability of the connection, or synapse, between two neurons to change in strength. There are several underlying mechanisms that cooperate to achieve synaptic plasticity, including changes in the quantity … 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
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
Biological neuron model — A biological neuron model (also known as spiking neuron model) is a mathematical description of the properties of nerve cells, or neurons, that is designed to accurately describe and predict biological processes. This is in contrast to the… … 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
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
nervous system, human — ▪ anatomy Introduction system that conducts stimuli from sensory receptors to the brain and spinal cord and that conducts impulses back to other parts of the body. As with other higher vertebrates, the human nervous system has two main… … Universalium
DNAJC5 — DnaJ (Hsp40) homolog, subfamily C, member 5 PDB rendering based on 2ctw … Wikipedia
Mind uploading — This page is about whole brain emulation in futurism, transhumanism and science. See also Mind uploading in fiction. Whole brain emulation or mind uploading (sometimes called mind transfer) is the hypothetical process of transferring or copying a … Wikipedia
Metaplasticity — is a term originally coined by W.C. Abraham and M.F. Bear to refer to the plasticity of synaptic plasticity. Until that time synaptic plasticity had referred to the plastic nature of individual synapses. However this new form referred to the… … Wikipedia