PMID- 19591867
OWN - NLM
STAT- MEDLINE
DCOM- 20091204
LR  - 20220310
IS  - 1872-678X (Electronic)
IS  - 0165-0270 (Linking)
VI  - 183
IP  - 2
DP  - 2009 Oct 15
TI  - Measuring multiple spike train synchrony.
PG  - 287-99
LID - 10.1016/j.jneumeth.2009.06.039 [doi]
AB  - Measures of multiple spike train synchrony are essential in order to study issues 
      such as spike timing reliability, network synchronization, and neuronal coding. 
      These measures can broadly be divided in multivariate measures and averages over 
      bivariate measures. One of the most recent bivariate approaches, the 
      ISI-distance, employs the ratio of instantaneous interspike intervals (ISIs). In 
      this study we propose two extensions of the ISI-distance, the straightforward 
      averaged bivariate ISI-distance and the multivariate ISI-diversity based on the 
      coefficient of variation. Like the original measure these extensions combine many 
      properties desirable in applications to real data. In particular, they are 
      parameter-free, time scale independent, and easy to visualize in a time-resolved 
      manner, as we illustrate with in vitro recordings from a cortical neuron. Using a 
      simulated network of Hindemarsh-Rose neurons as a controlled configuration we 
      compare the performance of our methods in distinguishing different levels of 
      multi-neuron spike train synchrony to the performance of six other previously 
      published measures. We show and explain why the averaged bivariate measures 
      perform better than the multivariate ones and why the multivariate ISI-diversity 
      is the best performer among the multivariate methods. Finally, in a comparison 
      against standard methods that rely on moving window estimates, we use single-unit 
      monkey data to demonstrate the advantages of the instantaneous nature of our 
      methods.
FAU - Kreuz, Thomas
AU  - Kreuz T
AD  - Institute for Nonlinear Sciences, University of California, San Diego, CA, USA. 
      tkreuz@ucsd.edu
FAU - Chicharro, Daniel
AU  - Chicharro D
FAU - Andrzejak, Ralph G
AU  - Andrzejak RG
FAU - Haas, Julie S
AU  - Haas JS
FAU - Abarbanel, Henry D I
AU  - Abarbanel HD
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20090708
PL  - Netherlands
TA  - J Neurosci Methods
JT  - Journal of neuroscience methods
JID - 7905558
SB  - IM
MH  - Action Potentials/*physiology
MH  - Animals
MH  - Computer Simulation
MH  - Electric Stimulation/methods
MH  - Nerve Net/*physiology
MH  - Neural Inhibition
MH  - *Neural Networks, Computer
MH  - Neurons/*physiology
MH  - Oscillometry/methods
MH  - Patch-Clamp Techniques
MH  - Rats
MH  - Rats, Long-Evans
MH  - Reaction Time/physiology
MH  - Time Factors
EDAT- 2009/07/14 09:00
MHDA- 2009/12/16 06:00
CRDT- 2009/07/14 09:00
PHST- 2009/03/14 00:00 [received]
PHST- 2009/06/22 00:00 [revised]
PHST- 2009/06/30 00:00 [accepted]
PHST- 2009/07/14 09:00 [entrez]
PHST- 2009/07/14 09:00 [pubmed]
PHST- 2009/12/16 06:00 [medline]
AID - S0165-0270(09)00361-6 [pii]
AID - 10.1016/j.jneumeth.2009.06.039 [doi]
PST - ppublish
SO  - J Neurosci Methods. 2009 Oct 15;183(2):287-99. doi: 
      10.1016/j.jneumeth.2009.06.039. Epub 2009 Jul 8.