Literature DB >> 9154518

Oscillatory mechanisms in pairs of neurons connected with fast inhibitory synapses.

P F Rowat1, A I Selverston.   

Abstract

We study dynamical mechanisms underlying oscillatory behavior in reciprocal inhibitory pairs of neurons, using a two-dimensional cell model. We introduce one-and-two dimensional phase portraits to illustrate the behaviors, thus reducing the study of dynamical mechanisms to planar geometrical properties. We examined whether other mechanisms besides the escape and release mechanisms (Wang and Rinzel, 1992) might be needed for some cases of reciprocal inhibition, and show that, within the confines of a simple two-dimensional cell model, escape and release are sufficient for all cases. We divided the behaviors of a single cell into six different types and examined the joint behaviors arising from every combination of pairs of cells with behaviors drawn from these six types. For the case of two quiescent cells or two cells each having plateau potentials, bifurcation diagrams demonstrate the relations between synaptic threshold and synaptic strength necessary for oscillations by escape, oscillations by release, or network-generated plateau potentials. Thus we clarify the relationship between plateau potentials and oscillations in a cell. Using the two dimensional cell model we examine 1:N beating between cells and find that our simple model displays many of the essential dynamical properties displayed by more sophisticated models, some of which relate to thalamocortical spindling.

Mesh:

Year:  1997        PMID: 9154518     DOI: 10.1023/a:1008869411135

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  52 in total

Review 1.  Modulation of neural networks for behavior.

Authors:  R M Harris-Warrick; E Marder
Journal:  Annu Rev Neurosci       Date:  1991       Impact factor: 12.449

2.  On the nature of the fundamental activity of the nervous centres; together with an analysis of the conditioning of rhythmic activity in progression, and a theory of the evolution of function in the nervous system.

Authors:  T G Brown
Journal:  J Physiol       Date:  1914-03-31       Impact factor: 5.182

3.  Reciprocal inhibition and postinhibitory rebound produce reverberation in a locomotor pattern generator.

Authors:  R A Satterlie
Journal:  Science       Date:  1985-07-26       Impact factor: 47.728

4.  Synchrony in excitatory neural networks.

Authors:  D Hansel; G Mato; C Meunier
Journal:  Neural Comput       Date:  1995-03       Impact factor: 2.026

Review 5.  The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function.

Authors:  R R Llinás
Journal:  Science       Date:  1988-12-23       Impact factor: 47.728

6.  A mechanism for production of phase shifts in a pattern generator.

Authors:  J S Eisen; E Marder
Journal:  J Neurophysiol       Date:  1984-06       Impact factor: 2.714

7.  Emergent spindle oscillations and intermittent burst firing in a thalamic model: specific neuronal mechanisms.

Authors:  X J Wang; D Golomb; J Rinzel
Journal:  Proc Natl Acad Sci U S A       Date:  1995-06-06       Impact factor: 11.205

8.  Modeling the gastric mill central pattern generator of the lobster with a relaxation-oscillator network.

Authors:  P F Rowat; A I Selverston
Journal:  J Neurophysiol       Date:  1993-09       Impact factor: 2.714

9.  Dopamine modulation of two subthreshold currents produces phase shifts in activity of an identified motoneuron.

Authors:  R M Harris-Warrick; L M Coniglio; R M Levini; S Gueron; J Guckenheimer
Journal:  J Neurophysiol       Date:  1995-10       Impact factor: 2.714

10.  A persistent sodium current contributes to oscillatory activity in heart interneurons of the medicinal leech.

Authors:  C A Opdyke; R L Calabrese
Journal:  J Comp Physiol A       Date:  1994-12       Impact factor: 1.836

View more
  14 in total

1.  Synaptic patterning of left-right alternation in a computational model of the rodent hindlimb central pattern generator.

Authors:  William Erik Sherwood; Ronald Harris-Warrick; John Guckenheimer
Journal:  J Comput Neurosci       Date:  2010-07-20       Impact factor: 1.621

2.  Oscillations in a simple neuromechanical system: underlying mechanisms.

Authors:  Murat Sekerli; Robert J Butera
Journal:  J Comput Neurosci       Date:  2005-10       Impact factor: 1.621

3.  Local network parameters can affect inter-network phase lags in central pattern generators.

Authors:  S R Jones; N Kopell
Journal:  J Math Biol       Date:  2005-09-29       Impact factor: 2.259

4.  On the dynamics of electrically-coupled neurons with inhibitory synapses.

Authors:  Juan Gao; Philip Holmes
Journal:  J Comput Neurosci       Date:  2006-09-19       Impact factor: 1.621

5.  Switching mechanisms and bout times in a pair of reciprocally inhibitory neurons.

Authors:  Mainak Patel; Badal Joshi
Journal:  J Comput Neurosci       Date:  2013-07-03       Impact factor: 1.621

6.  Synchronous bursting can arise from mutual excitation, even when individual cells are not endogenous bursters.

Authors:  P F Rowat; A I Selverston
Journal:  J Comput Neurosci       Date:  1997-04       Impact factor: 1.621

7.  Phase response properties of half-center oscillators.

Authors:  Calvin Zhang; Timothy J Lewis
Journal:  J Comput Neurosci       Date:  2013-02-28       Impact factor: 1.621

8.  A 'sticky' interhemispheric switch in bipolar disorder?

Authors:  J D Pettigrew; S M Miller
Journal:  Proc Biol Sci       Date:  1998-11-22       Impact factor: 5.349

9.  Network oscillations generated by balancing graded asymmetric reciprocal inhibition in passive neurons.

Authors:  Y Manor; F Nadim; S Epstein; J Ritt; E Marder; N Kopell
Journal:  J Neurosci       Date:  1999-04-01       Impact factor: 6.167

10.  On the role of sensory feedbacks in rowat-selverston CpG to improve robot legged locomotion.

Authors:  Elmira Amrollah; Patrick Henaff
Journal:  Front Neurorobot       Date:  2010-12-29       Impact factor: 2.650

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.