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neural$52248$ - traduzione in italiano
NETWORK OR CIRCUIT OF NEURONS
User:Male1979/Neural Network; Biological neural networks; Biological Neural Network; Neuronal network; Neuronal circuit; Neuronal networks; Biological Neural Networks; Neural network (biological); Neuronal circuits; Neural loop; Biological neural network; Neural circuits; Brain circuit; Brain circuits; Convergent circuit; Divergent circuit; Neural Circuit
![Anatomy of a [[multipolar neuron]]](https://commons.wikimedia.org/wiki/Special:FilePath/Blausen 0657 MultipolarNeuron.png?width=200 "Anatomy of a [[multipolar neuron]]")
![Model of a neural circuit in the [[cerebellum]]](https://commons.wikimedia.org/wiki/Special:FilePath/Model of Cerebellar Perceptron.jpg?width=200 "Model of a neural circuit in the [[cerebellum]]")
neural
adj. (Anat) neurale
Neural network
.svg?width=200 "An ANN dependency graph")
STRUCTURE IN BIOLOGY AND ARTIFICIAL INTELLIGENCE
Neural networks; History of neural networks; Applications of neural networks
rete neurale (informatica), sistema complesso di programmi e di dati che includono un certo numero di elaboratori paralleli e imitanti nel loro modo di operare la struttura del cervello umano
nerve tissue
MAIN COMPONENT OF THE NERVOUS SYSTEM
Neural tissue; Nerve tissue; Nervous Tissue; Neuronal tissue; Neural tumors; Neural cancer; Connective tissue in the peripheral nervous system; Nervous tissues
tessuto di nervi
Definizione
artificial neural network
<artificial intelligence> (ANN, commonly just "neural network"
or "neural net") A network of many very simple processors
("units" or "neurons"), each possibly having a (small amount
of) local memory. The units are connected by unidirectional
communication channels ("connections"), which carry numeric
(as opposed to symbolic) data. The units operate only on
their local data and on the inputs they receive via the
connections.
A neural network is a processing device, either an
algorithm, or actual hardware, whose design was inspired by
the design and functioning of animal brains and components
thereof.
Most neural networks have some sort of "training" rule whereby
the weights of connections are adjusted on the basis of
presented patterns. In other words, neural networks "learn"
from examples, just like children learn to recognise dogs from
examples of dogs, and exhibit some structural capability for
generalisation.
Neurons are often elementary non-linear signal processors (in
the limit they are simple threshold discriminators). Another
feature of NNs which distinguishes them from other computing
devices is a high degree of interconnection which allows a
high degree of parallelism. Further, there is no idle memory
containing data and programs, but rather each neuron is
pre-programmed and continuously active.
The term "neural net" should logically, but in common usage
never does, also include biological neural networks, whose
elementary structures are far more complicated than the
mathematical models used for ANNs.
See Aspirin, Hopfield network, McCulloch-Pitts neuron.
Usenet newsgroup: news:comp.ai.neural-nets.
(1997-10-13)
Wikipedia
Neural circuit
A neural circuit (also known as a biological neural network) is a population of neurons interconnected by synapses to carry out a specific function when activated. Multiple neural circuits interconnect with one another to form large scale brain networks.
Neural circuits have inspired the design of artificial neural networks, though there are significant differences.
