DocumentCode :
2494698
Title :
Interspike and interburst intervals: nonlinear dynamics approach
Author :
Pavlov, Alexey N. ; Silantyeva, Elena V. ; Sof´yina, E.S. ; Anishchenko, Vadim S.
Author_Institution :
Nonlinear Dynamics Lab., Saratov State Univ., Russia
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
445
Abstract :
We examine the possibility of extracting dynamics from sequences of interspike and interburst intervals and show that the largest Lyapunov exponent can be estimated from the point processes provided that the average value of the time intervals does not exceed a certain temporal scale (which does not coincide for different mathematical models describing the spiking phenomena)
Keywords :
Lyapunov methods; neural nets; neurophysiology; nonlinear dynamical systems; interburst intervals; interspike intervals; largest Lyapunov exponent; nonlinear dynamics approach; point processes; spiking phenomena; temporal scale; time intervals; Biomedical optical imaging; Humans; Information processing; Intersymbol interference; Mathematical model; Neurons; Nonlinear optics; Optical pulse generation; Optical sensors; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control of Oscillations and Chaos, 2000. Proceedings. 2000 2nd International Conference
Conference_Location :
St. Petersburg
Print_ISBN :
0-7803-6434-1
Type :
conf
DOI :
10.1109/COC.2000.874283
Filename :
874283
Link To Document :
بازگشت