Visu and Xtms: point process visualisation and analysis tools

  • Authors:

  • Jean-François Vibert;Fabián Alvarez;José Pedro Segundo

  • Affiliations:

  • Université Pierre et Marie Curie-Paris6, UMR, Paris, France and AP-HP, hôpital St Antoine, Service de Physiologie, Paris, France and INSERM, UMR, ESIM, Paris, France;INSERM, UMR, ESIM, Paris, France;University of California, Los Angeles, Department of Neurobiology, Los-Angeles, California

  • Venue:
  • VIEW'06 Proceedings of the 1st first visual information expert conference on Pixelization paradigm
  • Year:
  • 2006

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Abstract

This paper presents two tools developed initially to study neural networks information processing, but usable in any field that requires analyzing the behaviour of large data samples. One of the tools (visu) is devoted to the visualisation of simultaneously behaving events in several ways, either statically or dynamically along time, and allows examining each component individually. The other tool (xtms) is devoted to the analysis of temporal point process using a large number of different analysis, either involving single events or the interaction of two or three events, free running or cyclic. Examples in the domain of neural networks are given.