Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines
Summary: When a mammal, such as a macaque monkey, sees a complex natural image, many neurons in its visual cortex respond simultaneously. Here, we provide a protocol for studying the structure of population responses in laminar recordings with a machine learning model, the linear support vector mach...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-09-01
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| Series: | STAR Protocols |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666166721004536 |
| _version_ | 1818365073601593344 |
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| author | Veronika Koren |
| author_facet | Veronika Koren |
| author_sort | Veronika Koren |
| collection | DOAJ |
| description | Summary: When a mammal, such as a macaque monkey, sees a complex natural image, many neurons in its visual cortex respond simultaneously. Here, we provide a protocol for studying the structure of population responses in laminar recordings with a machine learning model, the linear support vector machine. To unravel the role of single neurons in population responses and the structure of noise correlations, we use a multivariate decoding technique on time-averaged responses.For complete details on the use and execution of this protocol, please refer to Koren et al. (2020a). |
| first_indexed | 2024-12-13T22:14:28Z |
| format | Article |
| id | doaj.art-8a391231a93f4021a5f1b9fb4b05aa3f |
| institution | Directory Open Access Journal |
| issn | 2666-1667 |
| language | English |
| last_indexed | 2024-12-13T22:14:28Z |
| publishDate | 2021-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | STAR Protocols |
| spelling | doaj.art-8a391231a93f4021a5f1b9fb4b05aa3f2022-12-21T23:29:38ZengElsevierSTAR Protocols2666-16672021-09-0123100746Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machinesVeronika Koren0Institute of Mathematics, Technische Universität Berlin, 10623 Berlin, Germany; Bernstein Center for Computational Neuroscience, Berlin, Germany; Corresponding authorSummary: When a mammal, such as a macaque monkey, sees a complex natural image, many neurons in its visual cortex respond simultaneously. Here, we provide a protocol for studying the structure of population responses in laminar recordings with a machine learning model, the linear support vector machine. To unravel the role of single neurons in population responses and the structure of noise correlations, we use a multivariate decoding technique on time-averaged responses.For complete details on the use and execution of this protocol, please refer to Koren et al. (2020a).http://www.sciencedirect.com/science/article/pii/S2666166721004536BioinformaticsModel OrganismsNeuroscience |
| spellingShingle | Veronika Koren Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines STAR Protocols Bioinformatics Model Organisms Neuroscience |
| title | Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines |
| title_full | Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines |
| title_fullStr | Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines |
| title_full_unstemmed | Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines |
| title_short | Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines |
| title_sort | uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines |
| topic | Bioinformatics Model Organisms Neuroscience |
| url | http://www.sciencedirect.com/science/article/pii/S2666166721004536 |
| work_keys_str_mv | AT veronikakoren uncoveringstructuredresponsesofneuralpopulationsrecordedfrommacaquemonkeyswithlinearsupportvectormachines |