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.
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Vibert, JF., Alvarez, F., Segundo, J.P. (2007). Visu and Xtms: Point Process Visualisation and Analysis Tools. In: Lévy, P.P., et al. Pixelization Paradigm. VIEW 2006. Lecture Notes in Computer Science, vol 4370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71027-1_15
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DOI: https://doi.org/10.1007/978-3-540-71027-1_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71026-4
Online ISBN: 978-3-540-71027-1
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