DocumentCode
1904894
Title
A high level Petri net model of olfactory bulb
Author
Venkatesh, K. ; Masory, O.
Author_Institution
Robotics Center, Florida Atlantic Univ., Boca Raton, FL
fYear
1993
fDate
1993
Firstpage
766
Abstract
A class of Petri nets (PNs), high level Petri nets (HPNs), are powerful and versatile tools for modeling, simulating, analyzing, designing and controlling complex asynchronous concurrent systems. An initial attempt is made to model biological neural networks (BNNs) with HPNs, since the interactions among neurons is basically asynchronous concurrent in nature. Even though there are many types of HPNs reported in literature, none have the constructs to model BNNs. Hence, a new class of HPNs is proposed. With this aim the analogies between BNNs and HPNs are explored. The detailed procedure of Petri net (PN) modeling is elucidated by modeling the mammalian olfactory bulb
Keywords
Petri nets; chemioception; neural nets; physiological models; biological neural networks; complex asynchronous concurrent systems; high level Petri nets; mammalian olfactory bulb; Analytical models; Application software; Biological neural networks; Biological system modeling; Brain modeling; Nerve fibers; Neurons; Olfactory; Petri nets; Power system modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993., IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0999-5
Type
conf
DOI
10.1109/ICNN.1993.298652
Filename
298652
Link To Document