Literature DB >> 16956993

Noisy inputs and the induction of on-off switching behavior in a neuronal pacemaker.

David Paydarfar1, Daniel B Forger, John R Clay.   

Abstract

Neuronal oscillators can function as bistable toggle switches, flipping between quiescence and rhythmic firing in response to an input stimulus. In theory, such switching should be sensitive to small noisy inputs if the bistable states are in close proximity, which we test here using a perfused squid axon preparation. We find that small noisy stimulus currents induce a multitude of paths between two nearby stable states: repetitive firing and quiescence. The pattern of on-off switching of the pacemaker depends on the intensity, spectral properties, and phase angle of stimulus current fluctuations. Analysis by spike-triggered averaging of the stimulus currents near the transitions reveals that sinusoidal stimuli timed antiphase or in phase with repetitive firing correlates with switching of the pacemaker off or on, respectively. Our results reveal a distinct form of bistability in which noise can either silence pacemaker activity, trigger repetitive firing, or induce sporadic burst patterns similar to those recorded in a variety of normal and pathological neurons.

Mesh:

Year:  2006        PMID: 16956993     DOI: 10.1152/jn.00486.2006

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


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

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Journal:  J Appl Physiol (1985)       Date:  2009-07-16

3.  Inhibition of rhythmic spiking by colored noise in neural systems.

Authors:  Daqing Guo
Journal:  Cogn Neurodyn       Date:  2011-06-29       Impact factor: 5.082

4.  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

5.  Control of transitions between locomotor-like and paw shake-like rhythms in a model of a multistable central pattern generator.

Authors:  Jessica Parker; Brian Bondy; Boris I Prilutsky; Gennady Cymbalyuk
Journal:  J Neurophysiol       Date:  2018-05-16       Impact factor: 2.714

6.  Inhibition of rhythmic neural spiking by noise: the occurrence of a minimum in activity with increasing noise.

Authors:  Boris S Gutkin; Jürgen Jost; Henry C Tuckwell
Journal:  Naturwissenschaften       Date:  2009-06-10

7.  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

8.  Stochastic Resonance Effects on Apnea, Bradycardia, and Oxygenation: A Randomized Controlled Trial.

Authors:  Vincent C Smith; Damian Kelty-Stephen; Mona Qureshi Ahmad; Wenyang Mao; Kelly Cakert; John Osborne; David Paydarfar
Journal:  Pediatrics       Date:  2015-12       Impact factor: 7.124

Review 9.  Necessity of noise in physiology and medicine.

Authors:  Ervin Sejdić; Lewis A Lipsitz
Journal:  Comput Methods Programs Biomed       Date:  2013-04-29       Impact factor: 5.428

10.  A simple parametric representation of the Hodgkin-Huxley model.

Authors:  Alejandro Rodríguez-Collado; Cristina Rueda
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

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