Classification of spiking events with wavelet neural networks

Alexey I. Nazimov; Alexey N. Pavlov

doi:10.1117/12.876411

10 February 2011 Classification of spiking events with wavelet neural networks

Alexey I. Nazimov, Alexey N. Pavlov

Proceedings Volume 7898, Dynamics and Fluctuations in Biomedical Photonics VIII; 789815 (2011) https://doi.org/10.1117/12.876411
Event: SPIE BiOS, 2011, San Francisco, California, United States

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.

Citation Download Citation

Alexey I. Nazimov and 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); https://doi.org/10.1117/12.876411

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