Spiking Neural P Systems with Communication on Request

Date
2017-10-05
Authors
Pan, Linqiang
Paun, Gheorge
Zhang, Gexiang
Neri, Ferrante
Journal Title
Journal ISSN
ISSN
Volume Title
Publisher
World Scientific
Peer reviewed
Yes
Abstract
Spiking Neural P Systems are Neural System models characterised by the fact that each neuron mimics a biological cell and the communication between neurons is based on spikes. In the Spiking Neural P systems investigated so far, the application of evolution rules depends on the contents of a neuron (checked by means of a regular expression). In these P systems, a speci ed number of spikes are consumed and a speci ed number of spikes are produced, and then sent to each of the neurons linked by a synapse to the evolving neuron. In the present work, a novel communication strategy among neurons of Spiking Neural P Systems is proposed. In the resulting models, called Spiking Neural P Systems with Communication on Request, the spikes are requested from neighbouring neurons, depending on the contents of the neuron (still checked by means of a regular expression). Unlike the traditional Spiking Neural P systems, no spikes are consumed or created: the spikes are only moved along synapses and replicated (when two or more neurons request the contents of the same neuron). The Spiking Neural P Systems with Communication on Request are proved to be computationally universal, that is, equivalent with Turing machines as long as two types of spikes are used. Following this work, further research questions are listed to be open problems.
Description
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
Keywords
Bio-inspired Computing, Membrane Computing, P System, Artificial Neural Network, Spiking Neural Network
Citation
Pan, L., Paun, G., Zhang, G. and Neri, F. (2017) Spiking Neural P Systems with Communication on Request. International Journal of Neural Systems, 27 (8), 1750042
Research Institute
Institute of Artificial Intelligence (IAI)