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Pynapple: a toolbox for data analysis in neuroscience

Guillaume Viejo, Daniel Levenstein, Sofia Skromne Carrasco, View ORCID ProfileDhruv Mehrotra, Sara Mahallati, Gilberto R Vite, Henry Denny, Lucas Sjulson, Francesco P Battaglia, Adrien Peyrache
doi: https://doi.org/10.1101/2022.12.06.519376
Guillaume Viejo
1Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
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Daniel Levenstein
1Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
2MILA – Quebec IA Institute
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Sofia Skromne Carrasco
1Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
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Dhruv Mehrotra
1Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
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  • ORCID record for Dhruv Mehrotra
Sara Mahallati
1Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
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Gilberto R Vite
1Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
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Henry Denny
1Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
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Lucas Sjulson
3Departments of Psychiatry and Neuroscience, Albert Einstein College of Medicine, Bronx, NY
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Francesco P Battaglia
4Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525AJ Nijmegen, The Netherlands
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Adrien Peyrache
1Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
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  • For correspondence: adrien.peyrache@mcgill.ca
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Posted December 07, 2022.
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Pynapple: a toolbox for data analysis in neuroscience
Guillaume Viejo, Daniel Levenstein, Sofia Skromne Carrasco, Dhruv Mehrotra, Sara Mahallati, Gilberto R Vite, Henry Denny, Lucas Sjulson, Francesco P Battaglia, Adrien Peyrache
bioRxiv 2022.12.06.519376; doi: https://doi.org/10.1101/2022.12.06.519376
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Pynapple: a toolbox for data analysis in neuroscience
Guillaume Viejo, Daniel Levenstein, Sofia Skromne Carrasco, Dhruv Mehrotra, Sara Mahallati, Gilberto R Vite, Henry Denny, Lucas Sjulson, Francesco P Battaglia, Adrien Peyrache
bioRxiv 2022.12.06.519376; doi: https://doi.org/10.1101/2022.12.06.519376

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