Modeling Active Non-Markovian Oscillations

G. Tucci; E. Roldán; A. Gambassi; R. Belousov; F. Berger; R. G. Alonso; A. J. Hudspeth

doi:10.1103/PhysRevLett.129.030603

Modeling Active Non-Markovian Oscillations

G. Tucci, E. Roldán, A. Gambassi, R. Belousov, F. Berger, R. G. Alonso, A. J. Hudspeth

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Modeling noisy oscillations of active systems is one of the current challenges in physics and biology. Because the physical mechanisms of such processes are often difficult to identify, we propose a linear stochastic model driven by a non-Markovian bistable noise that is capable of generating self-sustained periodic oscillation. We derive analytical predictions for most relevant dynamical and thermodynamic properties of the model. This minimal model turns out to describe accurately bistablelike oscillatory motion of hair bundles in bullfrog sacculus, extracted from experimental data. Based on and in agreement with these data, we estimate the power required to sustain such active oscillations to be of the order of 100 kBT per oscillation cycle.

Original language	English
Article number	030603
Pages (from-to)	1-7
Number of pages	7
Journal	Physical Review Letters
Volume	129
Issue number	3
DOIs	https://doi.org/10.1103/PhysRevLett.129.030603
Publication status	Published - 15 Jul 2022

Bibliographical note

Funding Information:
R. G. A. was supported by Howard Hughes Medical Institute, of which A. J. H. is an Investigator. A. G. acknowledges support from MIUR PRIN project “Coarse-grained description for nonequilibrium systems and transport phenomena (CO-NEST)” Grant No. 201798CZL.

Publisher Copyright:
© 2022 American Physical Society.

Funding

R. G. A. was supported by Howard Hughes Medical Institute, of which A. J. H. is an Investigator. A. G. acknowledges support from MIUR PRIN project “Coarse-grained description for nonequilibrium systems and transport phenomena (CO-NEST)” Grant No. 201798CZL.

Keywords

Adaptation
Dynamics
Hair-cells
Telegraph noise
Transduction

Access to Document

10.1103/PhysRevLett.129.030603

PhysRevLett.129.030603 (2)Final published version, 4.07 MB

Cite this

@article{987d0435199a4cc4832815b863a6a5bd,

title = "Modeling Active Non-Markovian Oscillations",

abstract = "Modeling noisy oscillations of active systems is one of the current challenges in physics and biology. Because the physical mechanisms of such processes are often difficult to identify, we propose a linear stochastic model driven by a non-Markovian bistable noise that is capable of generating self-sustained periodic oscillation. We derive analytical predictions for most relevant dynamical and thermodynamic properties of the model. This minimal model turns out to describe accurately bistablelike oscillatory motion of hair bundles in bullfrog sacculus, extracted from experimental data. Based on and in agreement with these data, we estimate the power required to sustain such active oscillations to be of the order of 100 kBT per oscillation cycle.",

keywords = "Adaptation, Dynamics, Hair-cells, Telegraph noise, Transduction",

author = "G. Tucci and E. Rold{\'a}n and A. Gambassi and R. Belousov and F. Berger and Alonso, {R. G.} and Hudspeth, {A. J.}",

note = "Funding Information: R. G. A. was supported by Howard Hughes Medical Institute, of which A. J. H. is an Investigator. A. G. acknowledges support from MIUR PRIN project “Coarse-grained description for nonequilibrium systems and transport phenomena (CO-NEST)” Grant No. 201798CZL. Publisher Copyright: {\textcopyright} 2022 American Physical Society.",

year = "2022",

month = jul,

day = "15",

doi = "10.1103/PhysRevLett.129.030603",

language = "English",

volume = "129",

pages = "1--7",

journal = "Physical Review Letters",

issn = "0031-9007",

publisher = "American Physical Society",

number = "3",

}

TY - JOUR

T1 - Modeling Active Non-Markovian Oscillations

AU - Tucci, G.

AU - Roldán, E.

AU - Gambassi, A.

AU - Belousov, R.

AU - Berger, F.

AU - Alonso, R. G.

AU - Hudspeth, A. J.

N1 - Funding Information: R. G. A. was supported by Howard Hughes Medical Institute, of which A. J. H. is an Investigator. A. G. acknowledges support from MIUR PRIN project “Coarse-grained description for nonequilibrium systems and transport phenomena (CO-NEST)” Grant No. 201798CZL. Publisher Copyright: © 2022 American Physical Society.

PY - 2022/7/15

Y1 - 2022/7/15

N2 - Modeling noisy oscillations of active systems is one of the current challenges in physics and biology. Because the physical mechanisms of such processes are often difficult to identify, we propose a linear stochastic model driven by a non-Markovian bistable noise that is capable of generating self-sustained periodic oscillation. We derive analytical predictions for most relevant dynamical and thermodynamic properties of the model. This minimal model turns out to describe accurately bistablelike oscillatory motion of hair bundles in bullfrog sacculus, extracted from experimental data. Based on and in agreement with these data, we estimate the power required to sustain such active oscillations to be of the order of 100 kBT per oscillation cycle.

AB - Modeling noisy oscillations of active systems is one of the current challenges in physics and biology. Because the physical mechanisms of such processes are often difficult to identify, we propose a linear stochastic model driven by a non-Markovian bistable noise that is capable of generating self-sustained periodic oscillation. We derive analytical predictions for most relevant dynamical and thermodynamic properties of the model. This minimal model turns out to describe accurately bistablelike oscillatory motion of hair bundles in bullfrog sacculus, extracted from experimental data. Based on and in agreement with these data, we estimate the power required to sustain such active oscillations to be of the order of 100 kBT per oscillation cycle.

KW - Adaptation

KW - Dynamics

KW - Hair-cells

KW - Telegraph noise

KW - Transduction

UR - http://www.scopus.com/inward/record.url?scp=85134530428&partnerID=8YFLogxK

U2 - 10.1103/PhysRevLett.129.030603

DO - 10.1103/PhysRevLett.129.030603

M3 - Article

C2 - 35905355

AN - SCOPUS:85134530428

SN - 0031-9007

VL - 129

SP - 1

EP - 7

JO - Physical Review Letters

JF - Physical Review Letters

IS - 3

M1 - 030603

ER -

Modeling Active Non-Markovian Oscillations

Abstract

Bibliographical note

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this