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Deconvolution of sparse spike trains using local selection strategy

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4 Author(s)
L. Fathi ; Inst. d'Electron., Univ. des Sci. et de la Technol. d'Oran, Oran El-Mnouar, Algeria ; A. Ouamri ; M. Keche ; M. Ouldmammar

A new algorithm for the deconvolution of sparse spike trains using a local selection strategy is presented. Simulation results show that the proposed algorithm improves the performance in terms of both quality of estimation and execution time

Published in:

Electronics Letters  (Volume:36 ,  Issue: 4 )