10 February 2011 Classification of spiking events with wavelet neural networks
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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.
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Alexey I. Nazimov, Alexey N. Pavlov, "Classification of spiking events with wavelet neural networks", Proc. SPIE 7898, Dynamics and Fluctuations in Biomedical Photonics VIII, 789815 (10 February 2011); doi: 10.1117/12.876411; https://doi.org/10.1117/12.876411
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