Phase response curves are important for analysis and modeling of oscillatory dynamics in various applications, particularly in neuroscience. Standard experimental technique for determining them requires isolation of the system and application of a specifically designed input. However, isolation is not always feasible and we are compelled to observe the system in its natural environment under free-running conditions. To that end we propose an approach relying only on passive observations of the system and its input. We illustrate it with simulation results of an oscillator driven by a stochastic force.
- Pub Date:
- September 2018
- Nonlinear Sciences - Adaptation and Self-Organizing Systems;
- Quantitative Biology - Neurons and Cognition
- 11 pages (+6 supplementary), 7 figures (+8 supplementary)