neural$52248$ - traducción al griego
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neural$52248$ - traducción al griego

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]]
  • Proposed organization of motor-semantic neural circuits for action language comprehension. Gray dots represent areas of language comprehension, creating a network for comprehending all language. The semantic circuit of the motor system, particularly the motor representation of the legs (yellow dots), is incorporated when leg-related words are comprehended. Adapted from Shebani et al. (2013)
  • Model of a neural circuit in the [[cerebellum]]

neural      
adj. νευρικός
Neural network         
  • 50px
  • doi-access= free }}</ref>
STRUCTURE IN BIOLOGY AND ARTIFICIAL INTELLIGENCE
Neural networks; History of neural networks; Applications of neural networks
νευρικό σύστημα
brain wave         
  • Tonic]] firing pattern of single neuron showing rhythmic spiking activity
  • 200px
  • Simulation of [[Kuramoto model]] showing neural synchronization and oscillations in the mean field
  •  doi = 10.1007/s004220000160 }}</ref> As the gain A is increased the network starts to oscillate at 3Hz.
  • Hindmarsh–Rose neuron]] showing typical [[bursting]] behavior: a fast rhythm generated by individual spikes and a slower rhythm generated by the bursts.
  • Generalized 3 Hz spike and wave discharges reflecting [[seizure]] activity
  • Handwriting of a person affected by [[Parkinson's disease]] showing rhythmic tremor activity in the strokes
1953 NOVEL BY POUL ANDERSON
Brainwave; Brainwaves; Brain waves; Induced activity; Ongoing brain activity; Neuronal oscillations; Neurodynamics; Neural Field Theory; Neural synchronization; Spontaneous activity; Neuronal synchronization; Neural oscillations; Cortical oscillation; Cortical oscillations; Brain wave; Brain rhythm
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Definición

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.