Oscillation onset in neural delayed feedback
This paper studies dynamical aspects of neural systems with delayed negative feedback modelled by nonlinear delay-differential equations. These systems undergo a Hopf bifurcation from a stable fixed point to a limit cycle oscillation as certain parameters are varied. We show that their frequency of oscillation is robust to parameter variations and noisy fluctuations, a property that makes these systems good candidates for pacemakers. The onset of oscillation is postponed by both additive and parametric noise in the sense that the state variable spends more time near the fixed point. Finally, we show that a distributed delay (rather than a fixed delay) also stabilizes the fixed point solution. 40 refs., 2 figs.
- Research Organization:
- Los Alamos National Lab., NM (USA)
- Sponsoring Organization:
- DOE/MA
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 6602172
- Report Number(s):
- LA-UR-90-2562; CONF-901150--2; ON: DE90015057
- Country of Publication:
- United States
- Language:
- English
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