Literature DB >> 19518674

Diagrammatic expansion of pulse-coupled network dynamics.

Aaditya V Rangan1.   

Abstract

We introduce a framework wherein various long-time measurements of a pulse-coupled network's stationary dynamics can be expanded in terms of the network's connectivity. Such measurements include the occurrence rate of pulses as well as higher-order correlations in activity between various nodes in the network. The various terms in this expansion can be interpreted as diagrams corresponding to subnetworks of the original network which span both space (in terms of the network's graph) as well as time (in the sense of causality).

Mesh:

Year:  2009        PMID: 19518674     DOI: 10.1103/PhysRevLett.102.158101

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


  11 in total

1.  A coarse-grained framework for spiking neuronal networks: between homogeneity and synchrony.

Authors:  Jiwei Zhang; Douglas Zhou; David Cai; Aaditya V Rangan
Journal:  J Comput Neurosci       Date:  2013-12-13       Impact factor: 1.621

2.  A reduction for spiking integrate-and-fire network dynamics ranging from homogeneity to synchrony.

Authors:  J W Zhang; A V Rangan
Journal:  J Comput Neurosci       Date:  2015-01-21       Impact factor: 1.621

3.  A coarse-graining framework for spiking neuronal networks: from strongly-coupled conductance-based integrate-and-fire neurons to augmented systems of ODEs.

Authors:  Jiwei Zhang; Yuxiu Shao; Aaditya V Rangan; Louis Tao
Journal:  J Comput Neurosci       Date:  2019-02-16       Impact factor: 1.621

4.  Dynamics of spiking neurons: between homogeneity and synchrony.

Authors:  Aaditya V Rangan; Lai-Sang Young
Journal:  J Comput Neurosci       Date:  2012-10-25       Impact factor: 1.621

Review 5.  From the statistics of connectivity to the statistics of spike times in neuronal networks.

Authors:  Gabriel Koch Ocker; Yu Hu; Michael A Buice; Brent Doiron; Krešimir Josić; Robert Rosenbaum; Eric Shea-Brown
Journal:  Curr Opin Neurobiol       Date:  2017-08-30       Impact factor: 6.627

6.  Decorrelation by recurrent inhibition in heterogeneous neural circuits.

Authors:  Alberto Bernacchia; Xiao-Jing Wang
Journal:  Neural Comput       Date:  2013-04-22       Impact factor: 2.026

7.  Functional roles for synaptic-depression within a model of the fly antennal lobe.

Authors:  Aaditya V Rangan
Journal:  PLoS Comput Biol       Date:  2012-08-23       Impact factor: 4.475

8.  Impact of network structure and cellular response on spike time correlations.

Authors:  James Trousdale; Yu Hu; Eric Shea-Brown; Krešimir Josić
Journal:  PLoS Comput Biol       Date:  2012-03-22       Impact factor: 4.475

9.  Interplay between Graph Topology and Correlations of Third Order in Spiking Neuronal Networks.

Authors:  Stojan Jovanović; Stefan Rotter
Journal:  PLoS Comput Biol       Date:  2016-06-06       Impact factor: 4.475

10.  When do correlations increase with firing rates in recurrent networks?

Authors:  Andrea K Barreiro; Cheng Ly
Journal:  PLoS Comput Biol       Date:  2017-04-27       Impact factor: 4.475

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