Literature DB >> 11327991

Stochastic biperiodic oscillations in the electroreceptors of paddlefish.

A Neiman1, D F Russell.   

Abstract

We report that the electroreceptors in paddlefish possess the novel property of being biperiodic, that is, being composed of two intrinsic self-sustained noisy oscillators, one residing in the hair cells, and another in the terminals of primary afferent neurons. The two oscillators are coupled unidirectionally. Thus the receptor system as a whole undergoes stochastic biperiodic oscillations. We characterize the spontaneous activity of this system of coupled biological oscillators, and also discuss the impact of the biperiodic organization on the transduction of external sensory stimuli. In particular, we show that the existence of hair cell oscillations leads to additional variability of afferent spike trains.

Mesh:

Year:  2001        PMID: 11327991     DOI: 10.1103/PhysRevLett.86.3443

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  9 in total

1.  Sensory coding in oscillatory electroreceptors of paddlefish.

Authors:  Alexander B Neiman; David F Russell
Journal:  Chaos       Date:  2011-12       Impact factor: 3.642

2.  Two modes of information processing in the electrosensory system of the paddlefish (Polyodon spathula).

Authors:  Leonie Pothmann; Lon A Wilkens; Michael H Hofmann
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2011-09-30       Impact factor: 1.836

3.  Integrate-and-fire neurons with threshold noise: a tractable model of how interspike interval correlations affect neuronal signal transmission.

Authors:  Benjamin Lindner; Maurice J Chacron; André Longtin
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2005-08-26

Review 4.  Nonrenewal spike train statistics: causes and functional consequences on neural coding.

Authors:  Oscar Avila-Akerberg; Maurice J Chacron
Journal:  Exp Brain Res       Date:  2011-01-26       Impact factor: 1.972

5.  Interspike interval correlation in a stochastic exponential integrate-and-fire model with subthreshold and spike-triggered adaptation.

Authors:  LieJune Shiau; Tilo Schwalger; Benjamin Lindner
Journal:  J Comput Neurosci       Date:  2015-04-19       Impact factor: 1.621

6.  A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains.

Authors:  Robin S Sidhu; Erik C Johnson; Douglas L Jones; Rama Ratnam
Journal:  Biol Cybern       Date:  2022-10-16       Impact factor: 3.072

7.  The steady state and response to a periodic stimulation of the firing rate for a theta neuron with correlated noise.

Authors:  Jannik Franzen; Lukas Ramlow; Benjamin Lindner
Journal:  J Comput Neurosci       Date:  2022-10-22       Impact factor: 1.453

8.  Patterns of interval correlations in neural oscillators with adaptation.

Authors:  Tilo Schwalger; Benjamin Lindner
Journal:  Front Comput Neurosci       Date:  2013-11-29       Impact factor: 2.380

9.  Peripheral sensory coding through oscillatory synchrony in weakly electric fish.

Authors:  Christa A Baker; Kevin R Huck; Bruce A Carlson
Journal:  Elife       Date:  2015-08-04       Impact factor: 8.140

  9 in total

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