Real and Modeled Spike Trains: Where do they meet?

, ,

(V. \unichar277ra K\unichar367rkov\unichar225, R. Neruda, & J. Koutn\unichar237k, Eds.) Proceedings of the 18th ICANN ’08, Lecture Notes in Computer Science 5164, Part II. Berlin, Heidelberg: Springer-Verlag (2008) .

V\unichar277raK\unichar367rkov\unichar225RomanNerudaJanKoutn\unichar237kSpringer-Verlag

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.



Add your rating and review

If all scientific publications that you have read were ranked according to their scientific quality and importance from 0% (worst) to 100% (best), where would you place this publication? Please rate by selecting a range.


0% - 100%

This publication ranks between % and % of publications that I have read in terms of scientific quality and importance.


Keep my rating and review anonymous
Show publicly that I gave the rating and I wrote the review