Neural circuit

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The way neural circuits work is modeled on the biological nervous system (see Neuronal Excitation Circuit ).

Neural circuits are based on the technology of artificial neural networks . The operation of neural circuits is usually parallel distributed processing or an alternative technology derived from it.

The most important representatives of the neural circuits are the neuromorphic circuits , which aim to simulate biological neurons .


Considerations to use neural circuits for neuroprostheses (see brain-computer interface ) have been around for a long time ( Rolf Eckmiller ). So far, attempts of such realizations have not got beyond the stage of animal experiments.

Neural circuits have proven themselves in various areas as adaptive filters and control loops, as well as in digital image processing (image recognition, industrial quality assurance). The performance of artificial neural circuits has so far lagged far behind that of natural systems.

In the context of future nanotechnology and quantum information technology, quantum neural networks (QNN or QANN) are also discussed. A special variant is the fuzzy quantum neural network (or fuzzy quantum artificial neural network ), see fuzzy logic .

See also