Title :
Theoretical foundations of pulse-coupled models
Author :
Izhikevich, Eugene M.
Author_Institution :
Center for Syst. Sci. & Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
Many scientists believe that all pulse-coupled neural networks are toy models that are far away from the biological reality. We show here that many biologically plausible Hodgkin-Huxley type neural networks can be transformed into a pulse-coupled form by a suitable change of variables. Such transformations exist when a network satisfies a number of conditions-it is weakly connected, the neurons are Class 1 excitable (i.e., they can generate action potentials with an arbitrary small frequency), and the synapses between neurons are conventional (i.e. axo-dendritic and axe-somatic). Thus, the difference between studying the pulse-coupled model and Hodgkin-Huxley type neural networks is just a matter of a coordinate change
Keywords :
limit cycles; neural nets; physiological models; synchronisation; Class 1 excitability; Hodgkin-Huxley type neural networks; canonical model; conventional synapses; desynchronisation; integrate and fire; limit cycle; pulse-coupled neural networks; saddle node; weakly connected neural nets; Art; Biological neural networks; Biological system modeling; Fires; Frequency; Limit-cycles; Neural networks; Neurons; Systems engineering and theory; Uniform resource locators;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.687263