Fast and Loose: Biologically Inspired Couplings

نویسندگان

  • Andy Philippides
  • Phil Husbands
  • Tom Smith
  • Michael O’Shea
چکیده

Recent years have seen the discovery of gaseous transmitters in biological nervous systems. An ANN inspired by such gaseous signalling, the GasNet, has previously been shown to be more evolvable than traditional ANNs. Here we present 2 new versions of the GasNet which take further inspiration from the properties of gaseous signalling. The plexus model is inspired by the cortical nNOS plexus and the properties of the 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 preliminary results suggesting that the reasons for the increase in evolvability is the loose coupling of distinct signalling mechanisms. Issues surrounding the degree of coupling between these mechanisms, one ‘chemical’ and one ‘electrical’, are discussed.

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تاریخ انتشار 2002