Classification of spiking events with wavelet neural networks
Alexey I. Nazimov, А. Н. Павлов · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
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.