Literature DB >> 18194108

A new multineuron spike train metric.

Conor Houghton1, Kamal Sen.   

Abstract

The Victor-Purpura spike train metric has recently been extended to a family of multineuron metrics and used to analyze spike trains recorded simultaneously from pairs of proximate neurons. The metric is one of the two metrics commonly used for quantifying the distance between two spike trains; the other is the van Rossum metric. Here, we suggest an extension of the van Rossum metric to a multineuron metric. We believe this gives a metric that is both natural and easy to calculate. Both types of multineuron metric are applied to simulated data and are compared.

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Year:  2008        PMID: 18194108      PMCID: PMC2782407          DOI: 10.1162/neco.2007.10-06-350

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  7 in total

1.  A novel spike distance.

Authors:  M C van Rossum
Journal:  Neural Comput       Date:  2001-04       Impact factor: 2.026

2.  Fast algorithm for the metric-space analysis of simultaneous responses of multiple single neurons.

Authors:  Dmitriy Aronov
Journal:  J Neurosci Methods       Date:  2003-04-15       Impact factor: 2.390

3.  Neural coding of spatial phase in V1 of the macaque monkey.

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Journal:  J Neurophysiol       Date:  2003-01-29       Impact factor: 2.714

4.  Distinct time scales in cortical discrimination of natural sounds in songbirds.

Authors:  Rajiv Narayan; Gilberto Graña; Kamal Sen
Journal:  J Neurophysiol       Date:  2006-03-29       Impact factor: 2.714

5.  Measuring spike train synchrony.

Authors:  Thomas Kreuz; Julie S Haas; Alice Morelli; Henry D I Abarbanel; Antonio Politi
Journal:  J Neurosci Methods       Date:  2007-06-02       Impact factor: 2.390

6.  Nature and precision of temporal coding in visual cortex: a metric-space analysis.

Authors:  J D Victor; K P Purpura
Journal:  J Neurophysiol       Date:  1996-08       Impact factor: 2.714

7.  A new correlation-based measure of spike timing reliability.

Authors:  S Schreiber; J M Fellous; D Whitmer; P Tiesinga; T J Sejnowski
Journal:  Neurocomputing       Date:  2003-06-01       Impact factor: 5.719

  7 in total
  16 in total

1.  Efficient transformation of an auditory population code in a small sensory system.

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Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-08       Impact factor: 11.205

2.  An information-geometric framework for statistical inferences in the neural spike train space.

Authors:  Wei Wu; Anuj Srivastava
Journal:  J Comput Neurosci       Date:  2011-05-17       Impact factor: 1.621

3.  Discrimination of communication vocalizations by single neurons and groups of neurons in the auditory midbrain.

Authors:  David M Schneider; Sarah M N Woolley
Journal:  J Neurophysiol       Date:  2010-03-31       Impact factor: 2.714

4.  SPIKY: a graphical user interface for monitoring spike train synchrony.

Authors:  Thomas Kreuz; Mario Mulansky; Nebojsa Bozanic
Journal:  J Neurophysiol       Date:  2015-03-04       Impact factor: 2.714

5.  Estimating summary statistics in the spike-train space.

Authors:  Wei Wu; Anuj Srivastava
Journal:  J Comput Neurosci       Date:  2012-10-05       Impact factor: 1.621

6.  Measuring spike timing distance in the Hindmarsh-Rose neurons.

Authors:  Jinjie Zhu; Xianbin Liu
Journal:  Cogn Neurodyn       Date:  2017-12-27       Impact factor: 5.082

7.  Blindfold learning of an accurate neural metric.

Authors:  Christophe Gardella; Olivier Marre; Thierry Mora
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-12       Impact factor: 11.205

8.  Detection of acoustic temporal fine structure by cochlear implant listeners: behavioral results and computational modeling.

Authors:  Nikita S Imennov; Jong Ho Won; Ward R Drennan; Elyse Jameyson; Jay T Rubinstein
Journal:  Hear Res       Date:  2013-01-17       Impact factor: 3.208

9.  A novel, jitter-based method for detecting and measuring spike synchrony and quantifying temporal firing precision.

Authors:  Ariel Agmon
Journal:  Neural Syst Circuits       Date:  2012-05-02

10.  Statistical analysis and decoding of neural activity in the rodent geniculate ganglion using a metric-based inference system.

Authors:  Wei Wu; Thomas G Mast; Christopher Ziembko; Joseph M Breza; Robert J Contreras
Journal:  PLoS One       Date:  2013-05-30       Impact factor: 3.240

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