Literature DB >> 25339742

Detecting pairwise correlations in spike trains: an objective comparison of methods and application to the study of retinal waves.

Catherine S Cutts1, Stephen J Eglen2.   

Abstract

Correlations in neuronal spike times are thought to be key to processing in many neural systems. Many measures have been proposed to summarize these correlations and of these the correlation index is widely used and is the standard in studies of spontaneous retinal activity. We show that this measure has two undesirable properties: it is unbounded above and confounded by firing rate. We list properties needed for a measure to fairly quantify and compare correlations and we propose a novel measure of correlation-the spike time tiling coefficient. This coefficient, the correlation index, and 33 other measures of correlation of spike times are blindly tested for the required properties on synthetic and experimental data. Based on this, we propose a measure (the spike time tiling coefficient) to replace the correlation index. To demonstrate the benefits of this measure, we reanalyze data from seven key studies, which previously used the correlation index to investigate the nature of spontaneous activity. We reanalyze data from β2(KO) and β2(TG) mutants, mutants lacking connexin isoforms, and also the age-dependent changes in wild-type and β2(KO) correlations. Reanalysis of the data using the proposed measure can significantly change the conclusions. It leads to better quantification of correlations and therefore better inference from the data. We hope that the proposed measure will have wide applications, and will help clarify the role of activity in retinotopic map formation.
Copyright © 2014 Cutts and Eglen.

Keywords:  activity; correlations; development; retina; retinotopic map; spike times

Mesh:

Year:  2014        PMID: 25339742      PMCID: PMC4205553          DOI: 10.1523/JNEUROSCI.2767-14.2014

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  46 in total

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Authors:  John D Hunter; John G Milton
Journal:  J Neurophysiol       Date:  2003-03-12       Impact factor: 2.714

2.  Weak pairwise correlations imply strongly correlated network states in a neural population.

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Journal:  Nature       Date:  2006-04-09       Impact factor: 49.962

3.  Correlation index: a new metric to quantify temporal coding.

Authors:  Philip X Joris; Dries H Louage; Liesbeth Cardoen; Marcel van der Heijden
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4.  The structure of multi-neuron firing patterns in primate retina.

Authors:  Jonathon Shlens; Greg D Field; Jeffrey L Gauthier; Matthew I Grivich; Dumitru Petrusca; Alexander Sher; Alan M Litke; E J Chichilnisky
Journal:  J Neurosci       Date:  2006-08-09       Impact factor: 6.167

5.  Retinal waves in mice lacking the beta2 subunit of the nicotinic acetylcholine receptor.

Authors:  Chao Sun; David K Warland; Jose M Ballesteros; Deborah van der List; Leo M Chalupa
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-29       Impact factor: 11.205

6.  A precisely timed asynchronous pattern of ON and OFF retinal ganglion cell activity during propagation of retinal waves.

Authors:  Daniel Kerschensteiner; Rachel O L Wong
Journal:  Neuron       Date:  2008-06-26       Impact factor: 17.173

Review 7.  Theoretical models of spontaneous activity generation and propagation in the developing retina.

Authors:  Keith B Godfrey; Stephen J Eglen
Journal:  Mol Biosyst       Date:  2009-09-03

8.  The role of neuronal connexins 36 and 45 in shaping spontaneous firing patterns in the developing retina.

Authors:  Aaron G Blankenship; Aaron M Hamby; Alana Firl; Shri Vyas; Stephan Maxeiner; Klaus Willecke; Marla B Feller
Journal:  J Neurosci       Date:  2011-07-06       Impact factor: 6.167

9.  Monitoring spike train synchrony.

Authors:  Thomas Kreuz; Daniel Chicharro; Conor Houghton; Ralph G Andrzejak; Florian Mormann
Journal:  J Neurophysiol       Date:  2012-12-05       Impact factor: 2.714

10.  Dopamine-induced dispersion of correlations between action potentials in networks of cortical neurons.

Authors:  Danny Eytan; Amir Minerbi; Noam Ziv; Shimon Marom
Journal:  J Neurophysiol       Date:  2004-04-14       Impact factor: 2.714

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  54 in total

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3.  Quantification of bursting and synchrony in cultured hippocampal neurons.

Authors:  Lawrence N Eisenman; Christine M Emnett; Jayaram Mohan; Charles F Zorumski; Steven Mennerick
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4.  Presynaptic SNAP-25 regulates retinal waves and retinogeniculate projection via phosphorylation.

Authors:  Yu-Tien Hsiao; Wen-Chi Shu; Pin-Chun Chen; Hui-Ju Yang; Hsin-Yo Chen; Sheng-Ping Hsu; Yi-Ting Huang; Cheng-Chang Yang; Yen-Ju Chen; Ni-Yen Yu; Shih-Yuan Liou; Ning Chiang; Chien-Ting Huang; Tzu-Lin Cheng; Lam-Yan Cheung; Yu-Chun Lin; Juu-Chin Lu; Chih-Tien Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2019-02-06       Impact factor: 11.205

5.  A Measure of Concurrent Neural Firing Activity Based on Mutual Information.

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6.  Inferring neuronal network functional connectivity with directed information.

Authors:  Zhiting Cai; Curtis L Neveu; Douglas A Baxter; John H Byrne; Behnaam Aazhang
Journal:  J Neurophysiol       Date:  2017-05-03       Impact factor: 2.714

7.  A novel mutual information estimator to measure spike train correlations in a model thalamocortical network.

Authors:  Ekaterina D Gribkova; Baher A Ibrahim; Daniel A Llano
Journal:  J Neurophysiol       Date:  2018-09-05       Impact factor: 2.714

8.  Increasing Spontaneous Retinal Activity before Eye Opening Accelerates the Development of Geniculate Receptive Fields.

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Journal:  J Neurosci       Date:  2015-10-28       Impact factor: 6.167

9.  Cell-type-Specific Patterned Stimulus-Independent Neuronal Activity in the Drosophila Visual System during Synapse Formation.

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10.  Retinal Degeneration Reduces Consistency of Network-Mediated Responses Arising in Ganglion Cells to Electric Stimulation.

Authors:  Young Jun Yoon; Jae-Ik Lee; Ye Ji Jang; Seungki An; Jae Hun Kim; Shelley I Fried; Maesoon Im
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-06-18       Impact factor: 3.802

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