Stochastic resonance of electrochemical aperiodic spike trains | Zendy

P. Parmananda | Zendy; Gerardo J. Escalera Santos | Zendy; M. Rivera | Zendy; Kenneth Showalter | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Stochastic resonance of electrochemical aperiodic spike trains

Author(s) -

P. Parmananda,

Gerardo J. Escalera Santos,

M. Rivera,

Kenneth Showalter

Publication year - 2005

Publication title -

physical review e

Language(s) - English

Resource type - Journals

eISSN - 1550-2376

pISSN - 1539-3755

DOI - 10.1103/physreve.71.031110

Subject(s) - aperiodic graph , stochastic resonance , subthreshold conduction , amplitude , chaotic , noise (video) , statistical physics , correlation function (quantum field theory) , signal (programming language) , spike (software development) , stochastic process , control theory (sociology) , physics , computer science , mathematics , voltage , spectral density , telecommunications , statistics , quantum mechanics , software engineering , control (management) , transistor , combinatorics , image (mathematics) , programming language , artificial intelligence

Aperiodic stochastic resonance in an electrochemical system with excitable dynamics is characterized in experiments and simulations. Two different spike trains, one with stochastic and the other with chaotic interspike intervals, are imposed on the system as subthreshold aperiodic signals. Information transmission is quantified by the cross correlation between the subthreshold input signal and the noise induced system response. A maximum is exhibited in the input-output correlation as a function of the noise amplitude. Numerical simulations with an electrochemical model are in excellent agreement with the experimental observations.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research