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“Validating silicon polytrodes with paired juxtacellular recordings: method and dataset”

Joana P. Neto, Gonçalo Lopes, João Frazão, Joana Nogueira, Pedro Lacerda, Pedro Baião, Arno Aarts, Alexandru Andrei, Silke Musa, Elvira Fortunato, Pedro Barquinha, Adam R. Kampff
doi: https://doi.org/10.1101/037937
Joana P. Neto
1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, PT
2Departamento de Ciência dos Materiais, CENIMAT/I3N and CEMOP/Uninova, Caparica, PT
5Sainsbury Wellcome Centre, University College London, London, UK
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  • For correspondence: joana.neto@neuro.fchampalimaud.org
Gonçalo Lopes
1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, PT
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João Frazão
1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, PT
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Joana Nogueira
1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, PT
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Pedro Lacerda
1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, PT
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Pedro Baião
1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, PT
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Arno Aarts
4ATLAS Neuroengineering
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Alexandru Andrei
3IMEC, Belgium
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Silke Musa
3IMEC, Belgium
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Elvira Fortunato
2Departamento de Ciência dos Materiais, CENIMAT/I3N and CEMOP/Uninova, Caparica, PT
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Pedro Barquinha
2Departamento de Ciência dos Materiais, CENIMAT/I3N and CEMOP/Uninova, Caparica, PT
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Adam R. Kampff
1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, PT
5Sainsbury Wellcome Centre, University College London, London, UK
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Abstract

Cross-validating new methods for recording neural activity is necessary to accurately interpret and compare the signals they measure. Here we describe a procedure for precisely aligning two probes for in vivo “paired-recordings” such that the spiking activity of a single neuron is monitored with both a dense extracellular silicon polytrode and a juxtacellular micro-pipette. Our new method allows for efficient, reliable, and automated guidance of both probes to the same neural structure with micron resolution. We also describe a new dataset of paired-recordings, which is available online. We propose that our novel targeting system, and ever expanding cross-validation dataset, will be vital to the development of new algorithms for automatically detecting/sorting single-units, characterizing new electrode materials/designs, and resolving nagging questions regarding the origin and nature of extracellular neural signals.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 02, 2016.
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“Validating silicon polytrodes with paired juxtacellular recordings: method and dataset”
Joana P. Neto, Gonçalo Lopes, João Frazão, Joana Nogueira, Pedro Lacerda, Pedro Baião, Arno Aarts, Alexandru Andrei, Silke Musa, Elvira Fortunato, Pedro Barquinha, Adam R. Kampff
bioRxiv 037937; doi: https://doi.org/10.1101/037937
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“Validating silicon polytrodes with paired juxtacellular recordings: method and dataset”
Joana P. Neto, Gonçalo Lopes, João Frazão, Joana Nogueira, Pedro Lacerda, Pedro Baião, Arno Aarts, Alexandru Andrei, Silke Musa, Elvira Fortunato, Pedro Barquinha, Adam R. Kampff
bioRxiv 037937; doi: https://doi.org/10.1101/037937

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