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Unsupervised spike sorting for large scale, high density multielectrode arrays

View ORCID ProfileGerrit Hilgen, Martino Sorbaro, Sahar Pirmoradian, View ORCID ProfileJens-Oliver Muthmann, Ibolya E. Kepiro, View ORCID ProfileSimona Ullo, Cesar Juarez Ramirez, View ORCID ProfileAlessandro Maccione, View ORCID ProfileLuca Berdondini, View ORCID ProfileVittorio Murino, View ORCID ProfileDiego Sona, View ORCID ProfileFrancesca Cella Zanacchi, View ORCID ProfileUpinder S. Bhalla, View ORCID ProfileEvelyne Sernagor, View ORCID ProfileMatthias H Hennig
doi: https://doi.org/10.1101/048645
Gerrit Hilgen
1Institute of Neuroscience, Newcastle University, Newcastle, UK
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Martino Sorbaro
2Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, UK
3Department of Computational Biology, School of Computer Science and Communication, Royal Institute of Technology, Stockholm, Sweden
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Sahar Pirmoradian
2Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, UK
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Jens-Oliver Muthmann
2Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, UK
4Manipal University, Manipal, India
5National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India
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Ibolya E. Kepiro
6Nanophysics (NAPH), Istituto Italiano di Tecnologia, Genova, Italy
7Faculty of Science Engineering and Computing, Kingston University, London, UK
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Simona Ullo
8Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy
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  • ORCID record for Simona Ullo
Cesar Juarez Ramirez
2Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, UK
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Alessandro Maccione
9Neuroscience and Brain Technologies (NBT), Istituto Italiano di Tecnologia, Genova, Italy
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  • ORCID record for Alessandro Maccione
Luca Berdondini
9Neuroscience and Brain Technologies (NBT), Istituto Italiano di Tecnologia, Genova, Italy
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  • ORCID record for Luca Berdondini
Vittorio Murino
8Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy
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  • ORCID record for Vittorio Murino
Diego Sona
8Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy
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  • ORCID record for Diego Sona
Francesca Cella Zanacchi
6Nanophysics (NAPH), Istituto Italiano di Tecnologia, Genova, Italy
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Upinder S. Bhalla
5National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India
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Evelyne Sernagor
1Institute of Neuroscience, Newcastle University, Newcastle, UK
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Matthias H Hennig
2Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, UK
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  • ORCID record for Matthias H Hennig
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Abstract

A new method for automated spike sorting for recordings with high density, large scale multielectrode arrays is presented. It is based on an efficient, low-dimensional representation of detected events by their estimated spatial current source locations and dominant spike shape features. Millions of events can be sorted in just minutes, and the full analysis chain scales roughly linearly with recording time. We demonstrate this method using recordings from the mouse retina with a 4,096 channel array, and present validation based on anatomical imaging and model-based quality control. Our analysis shows that it is feasible to reliably isolate the activity of hundreds to thousands of retinal ganglion cells in single recordings.

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Posted April 13, 2016.
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Unsupervised spike sorting for large scale, high density multielectrode arrays
Gerrit Hilgen, Martino Sorbaro, Sahar Pirmoradian, Jens-Oliver Muthmann, Ibolya E. Kepiro, Simona Ullo, Cesar Juarez Ramirez, Alessandro Maccione, Luca Berdondini, Vittorio Murino, Diego Sona, Francesca Cella Zanacchi, Upinder S. Bhalla, Evelyne Sernagor, Matthias H Hennig
bioRxiv 048645; doi: https://doi.org/10.1101/048645
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Unsupervised spike sorting for large scale, high density multielectrode arrays
Gerrit Hilgen, Martino Sorbaro, Sahar Pirmoradian, Jens-Oliver Muthmann, Ibolya E. Kepiro, Simona Ullo, Cesar Juarez Ramirez, Alessandro Maccione, Luca Berdondini, Vittorio Murino, Diego Sona, Francesca Cella Zanacchi, Upinder S. Bhalla, Evelyne Sernagor, Matthias H Hennig
bioRxiv 048645; doi: https://doi.org/10.1101/048645

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