Literature DB >> 15363673

Starting, stopping, and resetting biological oscillators: in search of optimum perturbations.

Daniel B Forger1, David Paydarfar.   

Abstract

Biological oscillators are commonly subjected to a single brief stimulus to perturb the ongoing rhythm. After stimulation, the oscillator can recover although its phase may be advanced or delayed relative to the original cycle. A single transient perturbation can also stop the ongoing rhythm. Arthur Winfree systematically classified these responses to brief perturbations, as determined by the strength of the stimulus, and the phase within the cycle at which the stimulus was given. A natural question arises from Winfree's work. Are certain stimulus shapes better than others at achieving a desired effect? The present study explores this question using: (1) analysis of phase space geometry, (2) calculus of variations, and (3) analysis of responses to noisy perturbations. Methods 1 and 2 can yield exact solutions, but have limited applicability in biology because they require a detailed mathematical description of the oscillator. Method 3 is applicable to any oscillator without mathematical prerequisites. We validate this method by finding optimum stimuli that start and stop repetitive firing in a neural pacemaker model, and the optimum light stimulus for resetting the circadian rhythm in a model of the human circadian clock. We propose that the elucidation of optimum stimulus shapes may be useful for studying many periodic phenomena in biology and medicine. Optimum stimuli can be used to induce a desired behavior without producing undesirable side effects.

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Year:  2004        PMID: 15363673     DOI: 10.1016/j.jtbi.2004.04.043

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  19 in total

1.  The effects of various spatial distributions of weak noise on rhythmic spiking.

Authors:  Henry C Tuckwell; Jürgen Jost
Journal:  J Comput Neurosci       Date:  2010-07-22       Impact factor: 1.621

2.  The variance of phase-resetting curves.

Authors:  G Bard Ermentrout; Bryce Beverlin; Todd Troyer; Theoden I Netoff
Journal:  J Comput Neurosci       Date:  2011-01-05       Impact factor: 1.621

3.  Stabilizing immature breathing patterns of preterm infants using stochastic mechanosensory stimulation.

Authors:  Elisabeth Bloch-Salisbury; Premananda Indic; Frank Bednarek; David Paydarfar
Journal:  J Appl Physiol (1985)       Date:  2009-07-16

4.  Time optimal control of spiking neurons.

Authors:  Ali Nabi; Jeff Moehlis
Journal:  J Math Biol       Date:  2011-06-10       Impact factor: 2.259

5.  Phase resetting control based on direct phase response curve.

Authors:  D V Efimov
Journal:  J Math Biol       Date:  2011-01-09       Impact factor: 2.259

6.  Optimal stimulus waveforms for eliciting a spike: How close is the spike-triggered average?

Authors:  Joshua Chang; David Paydarfar
Journal:  Int IEEE EMBS Conf Neural Eng       Date:  2015-07-02

7.  Switching neuronal state: optimal stimuli revealed using a stochastically-seeded gradient algorithm.

Authors:  Joshua Chang; David Paydarfar
Journal:  J Comput Neurosci       Date:  2014-08-22       Impact factor: 1.621

Review 8.  Multiscale complexity in the mammalian circadian clock.

Authors:  Yr Yamada; Db Forger
Journal:  Curr Opin Genet Dev       Date:  2010-12       Impact factor: 5.578

9.  Weak noise in neurons may powerfully inhibit the generation of repetitive spiking but not its propagation.

Authors:  Henry C Tuckwell; Jürgen Jost
Journal:  PLoS Comput Biol       Date:  2010-05-27       Impact factor: 4.475

10.  Ionic mechanism underlying optimal stimuli for neuronal excitation: role of Na+ channel inactivation.

Authors:  John R Clay; Daniel B Forger; David Paydarfar
Journal:  PLoS One       Date:  2012-09-26       Impact factor: 3.240

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