Abstract
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.
Original language | English |
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Article number | 13606 |
Pages (from-to) | 1-10 |
Number of pages | 10 |
Journal | Scientific Reports |
Volume | 8 |
Issue number | 1 |
Early online date | 11 Sept 2018 |
DOIs | |
Publication status | Published - Dec 2018 |
Funding
We thank Arkady Pikovsky, Igor Goychuk and Chunming Zheng for useful discussions. The work was supported by ITN COSMOS (funded by the European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 642563). Numerical part of this work conducted by M.R. was supported by the Russian Science Foundation (Project No. 14-12-00811). We acknowledge the support of the Deutsche Forschungsgemeinschaft and Open Access Publishing Fund of University of Potsdam.
Funders | Funder number |
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Marie Sklodowska-Curie | |
Horizon 2020 Framework Programme | 642563 |
Deutsche Forschungsgemeinschaft | |
Universität Potsdam | |
Russian Science Foundation | 14-12-00811 |