Literature DB >> 14765693

Multimodal behavior in a four neuron ring circuit: mode switching.

Chuan Luo1, John W Clark, Carmen C Canavier, Douglas A Baxter, John H Byrne.   

Abstract

We study a four-neuron ring circuit comprised of oscillating burst-type neurons unidirectionally coupled via inhibitory synapses. Simple circuits of this type have been used previously to study gait patterns. The ring circuit itself is a variant of the basic reciprocal inhibition network, and it exhibits the property of multistability (multiple stable modes of behavior). That is, different gait modes can be achieved via appropriate initialization of and parameterization of this self-excited oscillatory network. We demonstrate three common gait modes with this circuit: the walk, the bound, and a slightly rotated trot mode. Attention is focused mainly on the mechanisms of rapidly and effectively switching between these modes. Our simulations suggest that neuron membrane dynamics, as well as synaptic junctional properties, strongly influence phase sensitivity in the network; each synapse is a combination of both and can be characterized by a transient phase response curve (PRC). We use the same bursting neuron model to characterize all network neurons, and shape different transient PRCs by using different synaptic properties. The characteristics of these PRCs determine the gait modes sustained in any network configuration, as well as, the ability to switch between modes. The mechanisms explored in this simple circuit, may find application in the switching of more complicated gait pattern networks, as well as, in the design of neuromorphic gait pattern circuits.

Mesh:

Year:  2004        PMID: 14765693     DOI: 10.1109/TBME.2003.820380

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  8 in total

1.  Phase resetting and phase locking in hybrid circuits of one model and one biological neuron.

Authors:  S A Oprisan; A A Prinz; C C Canavier
Journal:  Biophys J       Date:  2004-10       Impact factor: 4.033

2.  Using phase resetting to predict 1:1 and 2:2 locking in two neuron networks in which firing order is not always preserved.

Authors:  Selva K Maran; Carmen C Canavier
Journal:  J Comput Neurosci       Date:  2007-06-19       Impact factor: 1.621

3.  Predictions of phase-locking in excitatory hybrid networks: excitation does not promote phase-locking in pattern-generating networks as reliably as inhibition.

Authors:  Fred H Sieling; Carmen C Canavier; Astrid A Prinz
Journal:  J Neurophysiol       Date:  2009-04-08       Impact factor: 2.714

4.  Phase resetting curves allow for simple and accurate prediction of robust N:1 phase locking for strongly coupled neural oscillators.

Authors:  Carmen C Canavier; Fatma Gurel Kazanci; Astrid A Prinz
Journal:  Biophys J       Date:  2009-07-08       Impact factor: 4.033

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

Review 6.  Pulse coupled oscillators and the phase resetting curve.

Authors:  Carmen C Canavier; Srisairam Achuthan
Journal:  Math Biosci       Date:  2010-05-10       Impact factor: 2.144

7.  Cellularly-driven differences in network synchronization propensity are differentially modulated by firing frequency.

Authors:  Christian G Fink; Victoria Booth; Michal Zochowski
Journal:  PLoS Comput Biol       Date:  2011-05-19       Impact factor: 4.475

8.  Phase-resetting curves determine synchronization, phase locking, and clustering in networks of neural oscillators.

Authors:  Srisairam Achuthan; Carmen C Canavier
Journal:  J Neurosci       Date:  2009-04-22       Impact factor: 6.167

  8 in total

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