Literature DB >> 17391772

A simple method for efficient spike detection in multiunit recordings.

T Borghi1, R Gusmeroli, A S Spinelli, G Baranauskas.   

Abstract

A number of spike detection and sorting methods exist and the availability of powerful desktop computers may suggest that the problem of spike detection is solved. However, for portable multi-channel systems, when one takes into account the power consumption limitations, computationally simple methods can be advantageous when compared to more complex algorithms. Here we describe a simple spike detection method that reduces approximately two-fold the rate of false detections compared to the single threshold spike detection method. The proposed algorithm can be employed in an analog electronic chip thus eliminating the need for the digitization of the original signal. Consequently, only the times of spike occurrence can be transmitted for further analysis.

Mesh:

Year:  2007        PMID: 17391772     DOI: 10.1016/j.jneumeth.2007.02.014

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  6 in total

1.  Spike detection methods for polytrodes and high density microelectrode arrays.

Authors:  Nicholas V Swindale; Martin A Spacek
Journal:  J Comput Neurosci       Date:  2014-11-20       Impact factor: 1.621

2.  Optimizing the automatic selection of spike detection thresholds using a multiple of the noise level.

Authors:  Michael Rizk; Patrick D Wolf
Journal:  Med Biol Eng Comput       Date:  2009-02-10       Impact factor: 2.602

3.  Unified selective sorting approach to analyse multi-electrode extracellular data.

Authors:  R Veerabhadrappa; C P Lim; T T Nguyen; M Berk; S J Tye; P Monaghan; S Nahavandi; A Bhatti
Journal:  Sci Rep       Date:  2016-06-24       Impact factor: 4.379

Review 4.  Revealing neuronal function through microelectrode array recordings.

Authors:  Marie Engelene J Obien; Kosmas Deligkaris; Torsten Bullmann; Douglas J Bakkum; Urs Frey
Journal:  Front Neurosci       Date:  2015-01-06       Impact factor: 4.677

5.  Feasibility Study of Extended-Gate-Type Silicon Nanowire Field-Effect Transistors for Neural Recording.

Authors:  Hongki Kang; Jee-Yeon Kim; Yang-Kyu Choi; Yoonkey Nam
Journal:  Sensors (Basel)       Date:  2017-03-28       Impact factor: 3.576

Review 6.  Functional connectivity in in vitro neuronal assemblies.

Authors:  Daniele Poli; Vito P Pastore; Paolo Massobrio
Journal:  Front Neural Circuits       Date:  2015-10-07       Impact factor: 3.492

  6 in total

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