Literature DB >> 22101141

NeuroQuest: a comprehensive analysis tool for extracellular neural ensemble recordings.

Ki Yong Kwon1, Seif Eldawlatly1, Karim Oweiss2.   

Abstract

Analyzing the massive amounts of neural data collected using microelectrodes to extract biologically relevant information is a major challenge. Many scientific findings rest on the ability to overcome these challenges and to standardize experimental analysis across labs. This can be facilitated in part through comprehensive, efficient and practical software tools disseminated to the community at large. We have developed a comprehensive, MATLAB-based software package - entitled NeuroQuest - that bundles together a number of advanced neural signal processing algorithms in a user-friendly environment. Results demonstrate the efficiency and reliability of the software compared to other software packages, and versatility over a wide range of experimental conditions.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Mesh：

Year:  2011        PMID： 22101141      PMCID： PMC3249474          DOI： 10.1016/j.jneumeth.2011.10.027

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


  40 in total

1.  Neural spike sorting under nearly 0-dB signal-to-noise ratio using nonlinear energy operator and artificial neural-network classifier.

Authors:  K H Kim; S J Kim
Journal:  IEEE Trans Biomed Eng       Date:  2000-10       Impact factor: 4.538

2.  Evaluation of spike-detection algorithms for a brain-machine interface application.

Authors:  Iyad Obeid; Patrick D Wolf
Journal:  IEEE Trans Biomed Eng       Date:  2004-06       Impact factor: 4.538

Review 3.  Multiple neural spike train data analysis: state-of-the-art and future challenges.

Authors:  Emery N Brown; Robert E Kass; Partha P Mitra
Journal:  Nat Neurosci       Date:  2004-05       Impact factor: 24.884

4.  Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering.

Authors:  R Quian Quiroga; Z Nadasdy; Y Ben-Shaul
Journal:  Neural Comput       Date:  2004-08       Impact factor: 2.026

5.  Spike detection using the continuous wavelet transform.

Authors:  Zoran Nenadic; Joel W Burdick
Journal:  IEEE Trans Biomed Eng       Date:  2005-01       Impact factor: 4.538

6.  Klusters, NeuroScope, NDManager: a free software suite for neurophysiological data processing and visualization.

Authors:  Lynn Hazan; Michaël Zugaro; György Buzsáki
Journal:  J Neurosci Methods       Date:  2006-03-31       Impact factor: 2.390

7.  A systems approach for data compression and latency reduction in cortically controlled brain machine interfaces.

Authors:  Karim G Oweiss
Journal:  IEEE Trans Biomed Eng       Date:  2006-07       Impact factor: 4.538

8.  A new spike detection algorithm for extracellular neural recordings.

Authors:  Shahjahan Shahid; Jacqueline Walker; Leslie S Smith
Journal:  IEEE Trans Biomed Eng       Date:  2009-07-17       Impact factor: 4.538

9.  Periodicity and evoked responses in motor cortex.

Authors:  Jacob Reimer; Nicholas G Hatsopoulos
Journal:  J Neurosci       Date:  2010-08-25       Impact factor: 6.167

10.  Millisecond-timescale local network coding in the rat primary somatosensory cortex.

Authors:  Seif Eldawlatly; Karim G Oweiss
Journal:  PLoS One       Date:  2011-06-29       Impact factor: 3.240
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  9 in total

1.  MEAnalyzer - a Spike Train Analysis Tool for Multi Electrode Arrays.

Authors:  Raha M Dastgheyb; Seung-Wan Yoo; Norman J Haughey
Journal:  Neuroinformatics       Date:  2020-01

2.  QSpike tools: a generic framework for parallel batch preprocessing of extracellular neuronal signals recorded by substrate microelectrode arrays.

Authors:  Mufti Mahmud; Rocco Pulizzi; Eleni Vasilaki; Michele Giugliano
Journal:  Front Neuroinform       Date:  2014-03-19       Impact factor: 4.081

3.  Temporal precision in population-but not individual neuron-dynamics reveals rapid experience-dependent plasticity in the rat barrel cortex.

Authors:  Seif Eldawlatly; Karim G Oweiss
Journal:  Front Comput Neurosci       Date:  2014-11-25       Impact factor: 2.380

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.  A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off-Line and On-Line Microelectrode Arrays Data Analysis.

Authors:  Giulia Regalia; Stefania Coelli; Emilia Biffi; Giancarlo Ferrigno; Alessandra Pedrocchi
Journal:  Comput Intell Neurosci       Date:  2016-04-27

6.  Algorithm and software to automatically identify latency and amplitude features of local field potentials recorded in electrophysiological investigation.

Authors:  Maria Rubega; Claudia Cecchetto; Stefano Vassanelli; Giovanni Sparacino
Journal:  Source Code Biol Med       Date:  2017-02-07

7.  How many neurons can we see with current spike sorting algorithms?

Authors:  Carlos Pedreira; Juan Martinez; Matias J Ison; Rodrigo Quian Quiroga
Journal:  J Neurosci Methods       Date:  2012-07-25       Impact factor: 2.390

Review 8.  Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges.

Authors:  Kostas Nizamis; Alkinoos Athanasiou; Sofia Almpani; Christos Dimitrousis; Alexander Astaras
Journal:  Sensors (Basel)       Date:  2021-03-16       Impact factor: 3.576

9.  SpikeInterface, a unified framework for spike sorting.

Authors:  Alessio P Buccino; Cole L Hurwitz; Samuel Garcia; Jeremy Magland; Joshua H Siegle; Roger Hurwitz; Matthias H Hennig
Journal:  Elife       Date:  2020-11-10       Impact factor: 8.140
  9 in total

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