Normal forms for spiking neural P systems

Theoretical Computer Science

Volumn 372, Issue 2-3, 2007, Pages 196-217

  Ibarra, Oscar H ^a   Pǎun, Andrei ^b,c   Pǎun, Gheorghe ^d,e   Rodríguez Patón, Alfonso ^c   Sosík, Petr ^c,f   Woodworth, Sara ^a  

^a University of California   (United States)

^b Louisiana Tech University   (United States)

^c UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^d INSTITUTE OF MATHEMATICS   (Romania)

^e UNIVERSITY OF SEVILLE   (Spain)

^f SILESIAN UNIVERSITY IN OPAVA   (Czech Republic)

Author keywords

Membrane computing; Normal form; Spiking neural P system; Universality

Indexed keywords

BIOLOGICAL MEMBRANES; COMPUTATIONAL COMPLEXITY; COMPUTER GRAPHICS; MEDICAL COMPUTING; PARAMETER ESTIMATION;

COMPUTING DEVICES; MEMBRANE COMPUTING; NORMAL FORM; SPIKING NEURAL SYSTEMS; SYNAPSES; UNIVERSALITY;

NEURAL NETWORKS;

EID: 33847094584     PISSN: 03043975     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tcs.2006.11.025     Document Type: Article

References (10)

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8. Gh. Pǎun, M.J. Pérez-Jiménez, G. Rozenberg, Infinite spike trains in spiking neural P systems, 2006 (submitted for publication)
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