16
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Measuring spike train synchrony

      Preprint

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Estimating the degree of synchrony or reliability between two or more spike trains is a frequent task in both experimental and computational neuroscience. In recent years, many different methods have been proposed that typically compare the timing of spikes on a certain time scale to be fixed beforehand. Here, we propose the ISI-distance, a simple complementary approach that extracts information from the interspike intervals by evaluating the ratio of the instantaneous frequencies. The method is parameter free, time scale independent and easy to visualize as illustrated by an application to real neuronal spike trains obtained in vitro from rat slices. In a comparison with existing approaches on spike trains extracted from a simulated Hindemarsh-Rose network, the ISI-distance performs as well as the best time-scale-optimized measure based on spike timing.

          Related collections

          Most cited references18

          • Record: found
          • Abstract: not found
          • Article: not found

          Reliability of spike timing in neocortical neurons

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            A Novel Spike Distance

            M. Rossum (2001)
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Synchrony-dependent propagation of firing rate in iteratively constructed networks in vitro.

              The precise role of synchronous neuronal firing in signal encoding remains unclear. To examine what kinds of signals can be carried by synchrony, I reproduced a multilayer feedforward network of neurons in an in vitro slice preparation of rat cortex using an iterative procedure. When constant and time-varying frequency signals were delivered to the network, the firing of neurons in successive layers became progressively more synchronous. Notably, synchrony in the in vitro network developed even with uncorrelated input, persisted under a wide range of physiological conditions and was crucial for the stable propagation of rate signals. The firing rate was represented by a classical rate code in the initial layers, but switched to a synchrony-based code in the deeper layers.
                Bookmark

                Author and article information

                Journal
                23 January 2007
                2007-07-03
                Article
                10.1016/j.jneumeth.2007.05.031
                physics/0701261
                cc643b8c-4ea7-4be8-a406-d20576d703d4
                History
                Custom metadata
                J Neurosci Methods 165, 151 (2007)
                11 pages, 13 figures; v2: minor modifications; v3: minor modifications, added link to webpage that includes the Matlab Source Code for the method (http://inls.ucsd.edu/~kreuz/Source-Code/Spike-Sync.html)
                physics.bio-ph physics.data-an q-bio.NC

                Comments

                Comment on this article