Real and Modeled Spike Trains: Where Do They Meet?

  • Authors:

  • Vasile V. Moca;Danko Nikolić;Raul C. Mureşan

  • Affiliations:

  • Center for Cognitive and Neural Studies (Coneural), Cluj-Napoca, Romania 400487;Max Planck Institute for Brain Research, Frankfurt am Main, Germany 60528 and Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany 60438;Center for Cognitive and Neural Studies (Coneural), Cluj-Napoca, Romania 400487 and Max Planck Institute for Brain Research, Frankfurt am Main, Germany 60528

  • Venue:
  • ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
  • Year:
  • 2008

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Abstract

Spike train models are important for the development and calibration of data analysis methods and for the quantification of certain properties of the data. We study here the properties of a spike train model that can produce both oscillatory and non-oscillatory spike trains, faithfully reproducing the firing statistics of the original spiking data being modeled. Furthermore, using data recorded from cat visual cortex, we show that despite the fact that firing statistics are reproduced, the dynamics of the modeled spike trains are significantly different from their biological counterparts. We conclude that spike train models are difficult to use when studying collective dynamics of neurons and that there is no universal 'recipe' for modeling cortical firing, as the latter can be both very complex and highly variable.