DocumentCode
3241755
Title
Spatiotemporal Processing in a Spiking Neural P System
Author
Reid, David ; Barrett-Baxendale, Mark
Author_Institution
Liverpool Hope Univ., Liverpool, UK
fYear
2009
fDate
14-16 Dec. 2009
Firstpage
394
Lastpage
399
Abstract
There has been considerable recent activity in the area of Spiking Neural P systems and notably, their extension by the simulation of astrocytes. Work in this area has focused on intracellular interaction between astrocytes and neurons. This paper further extends this idea by considering extracellular communication between astrocytes, in particular linking the astrocytes in a network that draws on the powerful feature extraction properties of a ¿reservoir computer¿. Also, current spiking neural P systems model the synapse in a simplistic way that does not take account of the effects of varying axon length. In an attempt to address this, the authors discuss the use of fuzzy techniques as a possible means to model the effect of axonal length on the post synaptic potential in a more realistic way.
Keywords
biology computing; feature extraction; fuzzy set theory; neural nets; astrocytes simulation; extracellular communication; fuzzy techniques; intracellular interaction; post synaptic potential; spatiotemporal processing; spiking neural P systems; Biological system modeling; Biomembranes; Computer networks; Extracellular; Joining processes; Nerve fibers; Neural networks; Neurons; Neurotransmitters; Spatiotemporal phenomena; P-system; Spike; fuzzy; membrane; neural; reservoir;
fLanguage
English
Publisher
ieee
Conference_Titel
Developments in eSystems Engineering (DESE), 2009 Second International Conference on
Conference_Location
Abu Dhabi
Print_ISBN
978-1-4244-5401-3
Electronic_ISBN
978-1-4244-5402-0
Type
conf
DOI
10.1109/DeSE.2009.24
Filename
5395155
Link To Document