USAL researcher finds that nature chose the neural network model in multicellular organisms because of its computational robustness to damage

Natural Computing is publishing the article by Sergio Miguel Tomé, Department of Computing and Automation (Departamento de Informática y Automática), in which he deciphers the evolutionary origin of the computational model of the nervous system.

A curious mind and a deep concern since childhood to discover why and how human beings have developed according to the characteristics that make us up is what has led the doctoral candidate of the Department of Computing and Automation of the University of Salamanca, Sergio Miguel Tomé, to discover that the nervous system in multicellular systems uses the neural network model in nature – as opposed to other possible ones – because of its computational robustness to damage.

Sergio Miguel Tomé

 

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