Some experiments on learning stable network oscillations
Fu-Sheng Tsung, Garrison W. Cottrell, Allen I. Selverston · 1990
The authors focus on limit cycle experiments with neural nets, showing that it is possible for standard sigmoidal unit networks to learn stable, collective oscillations involving tens of units. The authors also model a biological network oscillator, showing that recurrent networks can help gain useful insights into the biological system. The R. Williams and D. Zipser (1989) learning algorithm was used with the teacher-forcing technique during the learning phase