Modelo computacional de la reacción por señales eléctricas de una red compleja de neuronas del Sistema Nervioso del Gusano Caenorhabditis Elegans

Abstract

Caenorhabditis elegans is a transparent worm that has become an animal model for different studies. The neural connections of the worm were used to create a network to distribute the signal between the neurons and to be able to train the network. In this work, the connections of the worm are used to create a computer system that shows the structure of the network. Additionally, a learning rule was applied to the network to solve classification problems. Different algorithms and models were proposed to solve a case study.