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Proceedings Paper

Classification of spiking events with wavelet neural networks
Author(s): Alexey I. Nazimov; Alexey N. Pavlov
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Paper Abstract

We study the problem of separation of extracellularly recorded spikes by means of an artificial neural network (NN) and its modifications - wavelet neural networks (WNN). Advantages of networks over the standard approaches such as, e.g., the principal component analysis (PCA) are discussed. Application of neural networks seems to be a highly efficient way to improve classification provided by PCA.

Paper Details

Date Published: 10 February 2011
PDF: 7 pages
Proc. SPIE 7898, Dynamics and Fluctuations in Biomedical Photonics VIII, 789815 (10 February 2011); doi: 10.1117/12.876411
Show Author Affiliations
Alexey I. Nazimov, Saratov State Univ. (Russian Federation)
Alexey N. Pavlov, Saratov State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 7898:
Dynamics and Fluctuations in Biomedical Photonics VIII
Valery V. Tuchin; Donald D. Duncan; Kirill V. Larin; Martin J. Leahy; Ruikang K. Wang, Editor(s)

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