Antireliability of noise-driven neurons
- We demonstrate, within the framework of the FitzHugh-Nagumo model, that a firing neuron can respond to a noisy driving in a nonreliable manner: the same Gaussian white noise acting on identical neurons evokes different patterns of spikes. The effect is characterized via calculations of the Lyapunov exponent and the event synchronization correlations. We construct a theory that explains the antireliability as a combined effect of a high sensitivity to noise of some stages of the dynamics and nonisochronicity of oscillations. Geometrically, the antireliability is described by a random noninvertible one-dimensional map
| Author details: | Denis S. GoldobinGND, Arkadij PikovskijORCiDGND |
|---|---|
| URL: | http://pre.aps.org/ |
| DOI: | https://doi.org/10.1103/Physreve.73.061906 |
| ISSN: | 1539-3755 |
| Publication type: | Article |
| Language: | English |
| Year of first publication: | 2006 |
| Publication year: | 2006 |
| Release date: | 2017/03/24 |
| Source: | Physical review / E. - ISSN 1539-3755. - 73 (2006), 6, Art 061906 |
| Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie |
| Peer review: | Referiert |
| Institution name at the time of the publication: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik |
