Traducción y análisis de palabras por inteligencia artificial ChatGPT
En esta página puede obtener un análisis detallado de una palabra o frase, producido utilizando la mejor tecnología de inteligencia artificial hasta la fecha:
- cómo se usa la palabra
- frecuencia de uso
- se utiliza con más frecuencia en el habla oral o escrita
- opciones de traducción
- ejemplos de uso (varias frases con traducción)
- etimología
cycle of neurons - traducción al ruso
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математика
цепь нейронов
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![[[Carbon cycle]]](https://commons.wikimedia.org/wiki/Special:FilePath/Carbon cycle-cute diagram.svg?width=200 "[[Carbon cycle]]")
![[[Oxygen cycle]]](https://commons.wikimedia.org/wiki/Special:FilePath/Oxygen Cycle.jpg?width=200 "[[Oxygen cycle]]")
![[[Nitrogen cycle]]](https://commons.wikimedia.org/wiki/Special:FilePath/Nitrogen_Cycle.jpg?width=200 "[[Nitrogen cycle]]")
![[[Phosphorus cycle]]](https://commons.wikimedia.org/wiki/Special:FilePath/Phosphorus cycle.png?width=200 "[[Phosphorus cycle]]")
![[[Sulfur cycle]]](https://commons.wikimedia.org/wiki/Special:FilePath/Sulfur Cycle (Ciclo do Enxofre).png?width=200 "[[Sulfur cycle]]")
![[[Rock cycle]]](https://commons.wikimedia.org/wiki/Special:FilePath/Rockcycle.jpg?width=200 "[[Rock cycle]]")
![[[Water cycle]]](https://commons.wikimedia.org/wiki/Special:FilePath/Water cycle.png?width=200 "[[Water cycle]]")
![eukaryotic]] organisms.](https://commons.wikimedia.org/wiki/Special:FilePath/Plagiomnium affine laminazellen.jpeg?width=200 "eukaryotic]] organisms.")
медицина
круговорот вещества
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Definición
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Wikipedia
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The following are two lists of animals ordered by the size of their nervous system. The first list shows number of neurons in their entire nervous system, indicating their overall neural complexity. The second list shows the number of neurons in the structure that has been found to be representative of animal intelligence. The human brain contains 86 billion neurons, with 16 billion neurons in the cerebral cortex.
Scientists are engaged in counting, quantification, in order to find answers to the question in the strategy of neuroscience and intelligence of "self-knowledge": how the evolution of a set of components and parameters (~1011 neurons, ~1014 synapses) of a complex system could lead to the phenomenon of the appearance of intelligence in the biological species "sapiens".
