A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges
Summary: The protocol provides an extensive guide to apply the generalized linear model framework to neurophysiological recordings. This flexible technique can be adapted to test and quantify the contributions of many different parameters (e.g., kinematics, target position, choice, reward) on neural...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-06-01
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| Series: | STAR Protocols |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666166721001209 |
| _version_ | 1818571896672747520 |
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| author | Vaccari Francesco Edoardo Diomedi Stefano Filippini Matteo Galletti Claudio Fattori Patrizia |
| author_facet | Vaccari Francesco Edoardo Diomedi Stefano Filippini Matteo Galletti Claudio Fattori Patrizia |
| author_sort | Vaccari Francesco Edoardo |
| collection | DOAJ |
| description | Summary: The protocol provides an extensive guide to apply the generalized linear model framework to neurophysiological recordings. This flexible technique can be adapted to test and quantify the contributions of many different parameters (e.g., kinematics, target position, choice, reward) on neural activity. To weight the influence of each parameter, we developed an intuitive metric (“w-value”) that can be used to build a “functional fingerprint” characteristic for each neuron. We also provide suggestions to extract complementary useful information from the method.For complete details on the use and execution of this protocol, please refer to Diomedi et al. (2020). |
| first_indexed | 2024-12-14T18:50:19Z |
| format | Article |
| id | doaj.art-b52f8fb0b5f34de9a6a44be20994a221 |
| institution | Directory Open Access Journal |
| issn | 2666-1667 |
| language | English |
| last_indexed | 2024-12-14T18:50:19Z |
| publishDate | 2021-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | STAR Protocols |
| spelling | doaj.art-b52f8fb0b5f34de9a6a44be20994a2212022-12-21T22:51:16ZengElsevierSTAR Protocols2666-16672021-06-0122100413A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological dischargesVaccari Francesco Edoardo0Diomedi Stefano1Filippini Matteo2Galletti Claudio3Fattori Patrizia4Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna 40126, ItalyDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna 40126, ItalyDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna 40126, Italy; Corresponding authorDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna 40126, ItalyDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna 40126, Italy; Corresponding authorSummary: The protocol provides an extensive guide to apply the generalized linear model framework to neurophysiological recordings. This flexible technique can be adapted to test and quantify the contributions of many different parameters (e.g., kinematics, target position, choice, reward) on neural activity. To weight the influence of each parameter, we developed an intuitive metric (“w-value”) that can be used to build a “functional fingerprint” characteristic for each neuron. We also provide suggestions to extract complementary useful information from the method.For complete details on the use and execution of this protocol, please refer to Diomedi et al. (2020).http://www.sciencedirect.com/science/article/pii/S2666166721001209BioinformaticsSingle CellModel OrganismsNeuroscience |
| spellingShingle | Vaccari Francesco Edoardo Diomedi Stefano Filippini Matteo Galletti Claudio Fattori Patrizia A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges STAR Protocols Bioinformatics Single Cell Model Organisms Neuroscience |
| title | A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges |
| title_full | A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges |
| title_fullStr | A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges |
| title_full_unstemmed | A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges |
| title_short | A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges |
| title_sort | poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges |
| topic | Bioinformatics Single Cell Model Organisms Neuroscience |
| url | http://www.sciencedirect.com/science/article/pii/S2666166721001209 |
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