A Connectionist Model based on Physiological Properties of the Neuron

Recent research on artificial neural network models re-gards as relevant a new characteristic called biological plausibility or realism. Nevertheless, there is no agreement about this new feature, so some researchers develop their own visions. Two of these are highlighted here: the first is related directly to the cerebral cortex biological structure, and the second focuses the neural features and the signaling between neurons. The proposed model departs from the pre-vious existing system models, adopting the standpoint that a biologically plausible artificial neural network aims to cre-ate a more faithful model concerning the biological struc-ture, properties, and functionalities of the cerebral cortex, not disregarding its computational efficiency.