Detection and Sorting of Neural Spikes Using Wavelet Packets

Eyal Hulata, Ronen Segev, Yoash Shapira, Morris Benveniste, and Eshel Ben-Jacob
Phys. Rev. Lett. 85, 4637 – Published 20 November 2000
PDFExport Citation

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.

  • Received 10 January 2000

DOI:https://doi.org/10.1103/PhysRevLett.85.4637

©2000 American Physical Society

Authors & Affiliations

Eyal Hulata1, Ronen Segev1, Yoash Shapira1, Morris Benveniste2, and Eshel Ben-Jacob1,*

  • 1School of Physics and Astronomy, Raymond & Beverly Sackler Faculty of Exact Sciences, Tel-Aviv University, Tel-Aviv 69978, Israel
  • 2Department of Physiology & Pharmacology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 69978, Israel

  • *Corresponding author.Email address: eshel@venus.tau.ac.il

References (Subscription Required)

Click to Expand
Issue

Vol. 85, Iss. 21 — 20 November 2000

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review Letters

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×