Literature DB >> 23031137

Heterogeneous connections induce oscillations in large-scale networks.

Geoffroy Hermann1, Jonathan Touboul.   

Abstract

Realistic large-scale networks display a heterogeneous distribution of connectivity weights that might also randomly vary in time. We show that, depending on the level of heterogeneity in the connectivity coefficients, different qualitative macroscopic and microscopic regimes emerge. We evidence, in particular, generic transitions from stationary to perfectly periodic phase-locked regimes as the disorder parameter is increased, both in a simple model treated analytically and in a biologically relevant network made of excitable cells.

Mesh:

Year:  2012        PMID: 23031137     DOI: 10.1103/PhysRevLett.109.018702

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


  9 in total

1.  Firing rate dynamics in recurrent spiking neural networks with intrinsic and network heterogeneity.

Authors:  Cheng Ly
Journal:  J Comput Neurosci       Date:  2015-10-09       Impact factor: 1.621

2.  Stationary-State Statistics of a Binary Neural Network Model with Quenched Disorder.

Authors:  Diego Fasoli; Stefano Panzeri
Journal:  Entropy (Basel)       Date:  2019-06-26       Impact factor: 2.524

3.  Variable synaptic strengths controls the firing rate distribution in feedforward neural networks.

Authors:  Cheng Ly; Gary Marsat
Journal:  J Comput Neurosci       Date:  2017-11-10       Impact factor: 1.621

4.  Complex Dynamics of Noise-Perturbed Excitatory-Inhibitory Neural Networks With Intra-Correlative and Inter-Independent Connections.

Authors:  Xiaoxiao Peng; Wei Lin
Journal:  Front Physiol       Date:  2022-06-24       Impact factor: 4.755

5.  Mean-field models for heterogeneous networks of two-dimensional integrate and fire neurons.

Authors:  Wilten Nicola; Sue Ann Campbell
Journal:  Front Comput Neurosci       Date:  2013-12-27       Impact factor: 2.380

6.  Transitions between asynchronous and synchronous states: a theory of correlations in small neural circuits.

Authors:  Diego Fasoli; Anna Cattani; Stefano Panzeri
Journal:  J Comput Neurosci       Date:  2017-11-10       Impact factor: 1.621

7.  Heterogeneity-induced lane and band formation in self-driven particle systems.

Authors:  Basma Khelfa; Raphael Korbmacher; Andreas Schadschneider; Antoine Tordeux
Journal:  Sci Rep       Date:  2022-03-19       Impact factor: 4.996

8.  Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined Weights.

Authors:  Wilten Nicola; Bryan Tripp; Matthew Scott
Journal:  Front Comput Neurosci       Date:  2016-02-29       Impact factor: 2.380

9.  Symmetries Constrain Dynamics in a Family of Balanced Neural Networks.

Authors:  Andrea K Barreiro; J Nathan Kutz; Eli Shlizerman
Journal:  J Math Neurosci       Date:  2017-10-10       Impact factor: 1.300

  9 in total

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