Literature DB >> 21129402

Time-resolved and time-scale adaptive measures of spike train synchrony.

Thomas Kreuz1, Daniel Chicharro, Martin Greschner, Ralph G Andrzejak.   

Abstract

A wide variety of approaches to estimate the degree of synchrony between two or more spike trains have been proposed. One of the most recent methods is the ISI-distance which extracts information from the interspike intervals (ISIs) by evaluating the ratio of the instantaneous firing rates. In contrast to most previously proposed measures it is parameter free and time-scale independent. However, it is not well suited to track changes in synchrony that are based on spike coincidences. Here we propose the SPIKE-distance, a complementary measure which is sensitive to spike coincidences but still shares the fundamental advantages of the ISI-distance. In particular, it is easy to visualize in a time-resolved manner and can be extended to a method that is also applicable to larger sets of spike trains. We show the merit of the SPIKE-distance using both simulated and real data.
Copyright © 2010 Elsevier B.V. All rights reserved.

Mesh:

Year:  2010        PMID: 21129402     DOI: 10.1016/j.jneumeth.2010.11.020

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  18 in total

1.  Reliability of spike and burst firing in thalamocortical relay cells.

Authors:  Fleur Zeldenrust; Pascal J P Chameau; Wytse J Wadman
Journal:  J Comput Neurosci       Date:  2013-05-25       Impact factor: 1.621

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

Authors:  Lawrence N Eisenman; Christine M Emnett; Jayaram Mohan; Charles F Zorumski; Steven Mennerick
Journal:  J Neurophysiol       Date:  2015-06-03       Impact factor: 2.714

3.  Noise-induced burst and spike synchronizations in an inhibitory small-world network of subthreshold bursting neurons.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2014-11-29       Impact factor: 5.082

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.  Interaction of compass sensing and object-motion detection in the locust central complex.

Authors:  Tobias Bockhorst; Uwe Homberg
Journal:  J Neurophysiol       Date:  2017-04-12       Impact factor: 2.714

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.  A new similarity measure for spike trains: sensitivity to bursts and periods of inhibition.

Authors:  David Lyttle; Jean-Marc Fellous
Journal:  J Neurosci Methods       Date:  2011-05-12       Impact factor: 2.390

8.  Amplitude and dynamics of polarization-plane signaling in the central complex of the locust brain.

Authors:  Tobias Bockhorst; Uwe Homberg
Journal:  J Neurophysiol       Date:  2015-01-21       Impact factor: 2.714

9.  Synchronous rhythmic interaction enhances children's perceived similarity and closeness towards each other.

Authors:  Tal-Chen Rabinowitch; Ariel Knafo-Noam
Journal:  PLoS One       Date:  2015-04-08       Impact factor: 3.240

10.  Induction and modulation of persistent activity in a layer V PFC microcircuit model.

Authors:  Athanasia Papoutsi; Kyriaki Sidiropoulou; Vassilis Cutsuridis; Panayiota Poirazi
Journal:  Front Neural Circuits       Date:  2013-10-09       Impact factor: 3.492

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.