Abstract
Bump modeling is a method used to extract oscillatory bursts in electrophysiological signals, who are most likely to be representative of local synchronies. In this paper we present an improved sparse bump modeling method. The improvements are done in the adaptation method by optimizing the parameters according to the order of their derivatives; and in the window matching method by changing the selection of the initial function. Experimental results, comparing previous method vs the improved version, show that the obtained model fits better the signal, hence the result will be much more precise and useful.
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Vialatte, FB., Dauwels, J., Solé-Casals, J., Maurice, M., Cichocki, A. (2009). Improved Sparse Bump Modeling for Electrophysiological Data. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02490-0_28
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DOI: https://doi.org/10.1007/978-3-642-02490-0_28
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