Flexible couplings: diffusing neuromodulators and adaptive robotics

Philippides, Andy, Husbands, Phil, Smith, Tom and O'Shea, Michael (2005) Flexible couplings: diffusing neuromodulators and adaptive robotics. Artificial Life, 11 (1-2). pp. 139-160. ISSN 1064-5462

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Abstract

Recent years have seen the discovery of freely diffusing gaseous neurotransmitters, such as nitric oxide (NO), in biological nervous systems. A type of artificial neural network (ANN) inspired by such gaseous signaling, the GasNet, has previously been shown to be more evolvable than traditional ANNs when used as an artificial nervous system in an evolutionary robotics setting, where evolvability means consistent speed to very good solutions¿here, appropriate sensorimotor behavior-generating systems. We present two new versions of the GasNet, which take further inspiration from the properties of neuronal gaseous signaling. The plexus model is inspired by the extraordinary NO-producing cortical plexus structure of neural fibers and the properties of the diffusing NO signal it generates. The receptor model is inspired by the mediating action of neurotransmitter receptors. Both models are shown to significantly further improve evolvability. We describe a series of analyses suggesting that the reasons for the increase in evolvability are related to the flexible loose coupling of distinct signaling mechanisms, one ¿chemical¿ and one ¿electrical.¿

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Andy Philippides
Date Deposited: 06 Feb 2012 21:07
Last Modified: 07 Mar 2017 09:31
URI: http://sro.sussex.ac.uk/id/eprint/29604

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