Literature DB >> 18983872

What is the real shape of extracellular spikes?

R Quian Quiroga1.   

Abstract

We show that the standard filters used for on-line spike detection in most hardware acquisition systems introduce distortions in the recorded spike shapes. This is because on-line spike detection is done after band pass filtering the data with causal filters. As illustrated with three clusters of spike shapes from a real single cell recording in a human subject, causal filtering can create a spurious negative rebound and a smooth looking appearance of the spikes. We also show that these filtering distortions can make artifacts look similar to real spikes.

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Year:  2008        PMID: 18983872     DOI: 10.1016/j.jneumeth.2008.09.033

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


  24 in total

1.  Minimum requirements for accurate and efficient real-time on-chip spike sorting.

Authors:  Joaquin Navajas; Deren Y Barsakcioglu; Amir Eftekhar; Andrew Jackson; Timothy G Constandinou; Rodrigo Quian Quiroga
Journal:  J Neurosci Methods       Date:  2014-04-24       Impact factor: 2.390

2.  Neural Representation and Causal Models in Motor Cortex.

Authors:  Kris S Chaisanguanthum; Helen H Shen; Philip N Sabes
Journal:  J Neurosci       Date:  2017-02-20       Impact factor: 6.167

3.  Filtering of surface EMG using ensemble empirical mode decomposition.

Authors:  Xu Zhang; Ping Zhou
Journal:  Med Eng Phys       Date:  2012-12-11       Impact factor: 2.242

4.  Non-causal spike filtering improves decoding of movement intention for intracortical BCIs.

Authors:  Nicolas Y Masse; Beata Jarosiewicz; John D Simeral; Daniel Bacher; Sergey D Stavisky; Sydney S Cash; Erin M Oakley; Etsub Berhanu; Emad Eskandar; Gerhard Friehs; Leigh R Hochberg; John P Donoghue
Journal:  J Neurosci Methods       Date:  2014-08-13       Impact factor: 2.390

Review 5.  When brain rhythms aren't 'rhythmic': implication for their mechanisms and meaning.

Authors:  Stephanie R Jones
Journal:  Curr Opin Neurobiol       Date:  2016-07-09       Impact factor: 6.627

6.  Reprint of "Non-causal spike filtering improves decoding of movement intention for intracortical BCIs".

Authors:  Nicolas Y Masse; Beata Jarosiewicz; John D Simeral; Daniel Bacher; Sergey D Stavisky; Sydney S Cash; Erin M Oakley; Etsub Berhanu; Emad Eskandar; Gerhard Friehs; Leigh R Hochberg; John P Donoghue
Journal:  J Neurosci Methods       Date:  2015-02-11       Impact factor: 2.390

7.  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

8.  A real-time spike classification method based on dynamic time warping for extracellular enteric neural recording with large waveform variability.

Authors:  Yingqiu Cao; Nikolai Rakhilin; Philip H Gordon; Xiling Shen; Edwin C Kan
Journal:  J Neurosci Methods       Date:  2015-12-21       Impact factor: 2.390

9.  An automatic measure for classifying clusters of suspected spikes into single cells versus multiunits.

Authors:  Ariel Tankus; Yehezkel Yeshurun; Itzhak Fried
Journal:  J Neural Eng       Date:  2009-08-07       Impact factor: 5.379

10.  Clinical translation of a high-performance neural prosthesis.

Authors:  Vikash Gilja; Chethan Pandarinath; Christine H Blabe; Paul Nuyujukian; John D Simeral; Anish A Sarma; Brittany L Sorice; János A Perge; Beata Jarosiewicz; Leigh R Hochberg; Krishna V Shenoy; Jaimie M Henderson
Journal:  Nat Med       Date:  2015-09-28       Impact factor: 53.440

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