Detection and Sorting of Neural Spikes Using Wavelet Packets
- 20 November 2000
- journal article
- research article
- Published by American Physical Society (APS) in Physical Review Letters
- Vol. 85 (21) , 4637-4640
- https://doi.org/10.1103/physrevlett.85.4637
Abstract
We propose a novel method for the detection and sorting of recorded neural spikes using wavelet packets. We employ the best basis via the Shannon's information cost function and local discriminant basis using mutual information. We demonstrate the efficiency of the method on data recorded in vitro from 2D neural networks. We show that our method is superior both in separation from noise and in identifying superimposed spikes.Keywords
This publication has 13 references indexed in Scilit:
- The neurochip: a new multielectrode device for stimulating and recording from cultured neuronsJournal of Neuroscience Methods, 1999
- Automatic Discrimination of Single UnitsPublished by Taylor & Francis ,1998
- A review of methods for spike sorting: the detection and classification of neural action potentialsNetwork: Computation in Neural Systems, 1998
- Orthonormal shift-invariant wavelet packet decomposition and representationSignal Processing, 1997
- Two-way silicon-neuron interface by electrical inductionPhysical Review E, 1997
- Multi-unit spike discrimination using wavelet transformsComputers in Biology and Medicine, 1997
- A review of wavelets in biomedical applicationsProceedings of the IEEE, 1996
- Simultaneous measurement of intracellular calcium and electrical activity from patterned neural networks in cultureIEEE Transactions on Biomedical Engineering, 1993
- Entropy-based algorithms for best basis selectionIEEE Transactions on Information Theory, 1992
- A totally automated system for the detection and classification of neural spikesIEEE Transactions on Biomedical Engineering, 1988