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The Implementation of Noradrenaline in the NeuCogAr Cognitive Architecture

Authors:
Max Talanov
Mariya Zagulova
Salvatore Distefano
Jordi Vallverdu
Boris Pinus
Alexey Leukhin

Keywords: spiking neural networks; artificial emotions; affective computing

Abstract:
In this paper, we present a novel approach to model and re-implement the noradrenaline influence in a bio-plausible manner suitable for the modelling of emotions in a computational system. We have upgraded our previous bio-inspired architecture NEUCOGAR (Neuromodulating Cognitive Architecture) to capture a key aspect of cognitive processes: novelty detection and its evaluation. With our model, we can computationally implement a bioinspired cognitive architecture that uses neuromodulation as a mechanism to identify signals, as well as to evaluate them according to their novelty, taking into account the noradrenaline concentration dynamics. At the same time, the values thus generated are stored in the system using the same neurotransmitters model.

Pages: 10 to 15

Copyright: Copyright (c) IARIA, 2017

Publication date: February 19, 2017

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-531-9

Location: Athens, Greece

Dates: from February 19, 2017 to February 23, 2017