Paper
12 February 2009 Separation of extracellular spikes with wavelets and neural networks
Author Affiliations +
Abstract
We propose a novel method for automatic classification of neural spikes recorded extracellularly. The method makes use of the wavelet multiscale spike decomposition and identification of the most discriminative features by artificial neural networks. We demonstrate the efficiency of the method on semi-simulated data and using in-vivo recordings. Advantage of the proposed approach over existing techniques is shown.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anatoly N. Tupitsyn, Alexey N. Pavlov, and Valeri A. Makarov "Separation of extracellular spikes with wavelets and neural networks", Proc. SPIE 7176, Dynamics and Fluctuations in Biomedical Photonics VI, 71760M (12 February 2009); https://doi.org/10.1117/12.808378
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Wavelets

Neural networks

Neurons

Discrete wavelet transforms

Wavelet transforms

Artificial neural networks

Feature extraction

Back to Top