Concepedia

TLDR

Neural networks were once studied only out of curiosity, but their widespread use now suggests that advances in neurocybernetics could drive new computational breakthroughs. The study aims to deepen understanding of natural brain behavior through mathematical, electronic, and simulation models, and surveys promising neurocybernetic research areas to inspire new technologies. The authors conduct a concise survey of leading neurocybernetic research areas to identify potential technological inspirations. The research unexpectedly produced new computational tools that rapidly gained popularity and demonstrated high effectiveness.

Abstract

Many years ago neural networks were subject of scientific research conducted only for curiosity. The researchers pursue to better understanding of natural brain behaviour by means of forming of mathematical, electronic and simulation models. Unexpectedly as additional result of such research new computational tool occur, which very fast become huge popularity and high effectiveness. Now, when typical neural networks are used almost by everybody for almost everything – new progress in computational applications can come from new “cut end” research on neurocybernetics. The paper shows short survey of some most promising areas of current neurocybernetic research for inducting new possible technological inspirations.

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