Literature DB >> 17501162

Dynamical origin of independent spiking and bursting activity in neural microcircuits.

Thomas Nowotny1, Mikhail I Rabinovich.   

Abstract

The relationship between spiking and bursting dynamics is a key question in neuroscience, particularly in understanding the origins of different neural coding strategies and the mechanisms of motor command generation and neural circuit coordination. Experiments indicate that spiking and bursting dynamics can be independent. We hypothesize that different mechanisms for spike and burst generation, intrinsic neuron dynamics for spiking and a modulational network instability for bursting, are the origin of this independence. We tested the hypothesis in a detailed dynamical analysis of a minimal inhibitory neural microcircuit (motif) of three reciprocally connected Hodgkin-Huxley neurons. We reduced this high-dimensional dynamical system to a rate model and showed that both systems have identical bifurcations from tonic spiking to burst generation, which, therefore, does not depend on the details of spiking activity.

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Year:  2007        PMID: 17501162     DOI: 10.1103/PhysRevLett.98.128106

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


  17 in total

1.  Neuronal synchrony: peculiarity and generality.

Authors:  Thomas Nowotny; Ramon Huerta; Mikhail I Rabinovich
Journal:  Chaos       Date:  2008-09       Impact factor: 3.642

2.  Locally embedded presages of global network bursts.

Authors:  Satohiro Tajima; Takeshi Mita; Douglas J Bakkum; Hirokazu Takahashi; Taro Toyoizumi
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-21       Impact factor: 11.205

3.  Linking dynamics of the inhibitory network to the input structure.

Authors:  Maxim Komarov; Maxim Bazhenov
Journal:  J Comput Neurosci       Date:  2016-09-21       Impact factor: 1.621

4.  Criteria for robustness of heteroclinic cycles in neural microcircuits.

Authors:  Peter Ashwin; Ozkan Karabacak; Thomas Nowotny
Journal:  J Math Neurosci       Date:  2011-11-28       Impact factor: 1.300

5.  Input dependent cell assembly dynamics in a model of the striatal medium spiny neuron network.

Authors:  Adam Ponzi; Jeff Wickens
Journal:  Front Syst Neurosci       Date:  2012-03-12

6.  The significance of dynamical architecture for adaptive responses to mechanical loads during rhythmic behavior.

Authors:  Kendrick M Shaw; David N Lyttle; Jeffrey P Gill; Miranda J Cullins; Jeffrey M McManus; Hui Lu; Peter J Thomas; Hillel J Chiel
Journal:  J Comput Neurosci       Date:  2014-09-04       Impact factor: 1.621

7.  Multiscale model of an inhibitory network shows optimal properties near bifurcation.

Authors:  Christopher L Buckley; Thomas Nowotny
Journal:  Phys Rev Lett       Date:  2011-06-10       Impact factor: 9.161

8.  Neural dynamics of attentional cross-modality control.

Authors:  Mikhail Rabinovich; Irma Tristan; Pablo Varona
Journal:  PLoS One       Date:  2013-05-16       Impact factor: 3.240

9.  Optimal balance of the striatal medium spiny neuron network.

Authors:  Adam Ponzi; Jeffery R Wickens
Journal:  PLoS Comput Biol       Date:  2013-04-11       Impact factor: 4.475

10.  Emergent dynamics from spiking neuron networks through symmetry breaking of connectivity.

Authors:  M Marmaduke Woodman; Viktor K Jirsa
Journal:  PLoS One       Date:  2013-05-17       Impact factor: 3.240

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