Decoding the activity of neuronal populations in macaque primary visual cortex.
Saved in:
| Title: | Decoding the activity of neuronal populations in macaque primary visual cortex. |
|---|---|
| Authors: | Graf, Arnulf B. A., Kohn, Adam, Jazayeri, Mehrdad, Movshon, J. Anthony |
| Source: | Nature Neuroscience. Feb2011, Vol. 14 Issue 2, p239-245. 7p. 6 Graphs. |
| Subjects: | Visual cortex, Macaques, Vision disorders, Visual learning, Computational neuroscience, Sensory neurons, Phonological decoding |
| Abstract: | Visual function depends on the accuracy of signals carried by visual cortical neurons. Combining information across neurons should improve this accuracy because single neuron activity is variable. We examined the reliability of information inferred from populations of simultaneously recorded neurons in macaque primary visual cortex. We considered a decoding framework that computes the likelihood of visual stimuli from a pattern of population activity by linearly combining neuronal responses and tested this framework for orientation estimation and discrimination. We derived a simple parametric decoder assuming neuronal independence and a more sophisticated empirical decoder that learned the structure of the measured neuronal response distributions, including their correlated variability. The empirical decoder used the structure of these response distributions to perform better than its parametric variant, indicating that their structure contains critical information for sensory decoding. These results show how neuronal responses can best be used to inform perceptual decision-making. [ABSTRACT FROM AUTHOR] |
| Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 57557413 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Decoding the activity of neuronal populations in macaque primary visual cortex. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Graf%2C+Arnulf+B%2E+A%2E%22">Graf, Arnulf B. A.</searchLink><br /><searchLink fieldCode="AR" term="%22Kohn%2C+Adam%22">Kohn, Adam</searchLink><br /><searchLink fieldCode="AR" term="%22Jazayeri%2C+Mehrdad%22">Jazayeri, Mehrdad</searchLink><br /><searchLink fieldCode="AR" term="%22Movshon%2C+J%2E+Anthony%22">Movshon, J. Anthony</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nature+Neuroscience%22">Nature Neuroscience</searchLink>. Feb2011, Vol. 14 Issue 2, p239-245. 7p. 6 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Visual+cortex%22">Visual cortex</searchLink><br /><searchLink fieldCode="DE" term="%22Macaques%22">Macaques</searchLink><br /><searchLink fieldCode="DE" term="%22Vision+disorders%22">Vision disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+learning%22">Visual learning</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+neuroscience%22">Computational neuroscience</searchLink><br /><searchLink fieldCode="DE" term="%22Sensory+neurons%22">Sensory neurons</searchLink><br /><searchLink fieldCode="DE" term="%22Phonological+decoding%22">Phonological decoding</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Visual function depends on the accuracy of signals carried by visual cortical neurons. Combining information across neurons should improve this accuracy because single neuron activity is variable. We examined the reliability of information inferred from populations of simultaneously recorded neurons in macaque primary visual cortex. We considered a decoding framework that computes the likelihood of visual stimuli from a pattern of population activity by linearly combining neuronal responses and tested this framework for orientation estimation and discrimination. We derived a simple parametric decoder assuming neuronal independence and a more sophisticated empirical decoder that learned the structure of the measured neuronal response distributions, including their correlated variability. The empirical decoder used the structure of these response distributions to perform better than its parametric variant, indicating that their structure contains critical information for sensory decoding. These results show how neuronal responses can best be used to inform perceptual decision-making. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=57557413 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/nn.2733 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 239 Subjects: – SubjectFull: Visual cortex Type: general – SubjectFull: Macaques Type: general – SubjectFull: Vision disorders Type: general – SubjectFull: Visual learning Type: general – SubjectFull: Computational neuroscience Type: general – SubjectFull: Sensory neurons Type: general – SubjectFull: Phonological decoding Type: general Titles: – TitleFull: Decoding the activity of neuronal populations in macaque primary visual cortex. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Graf, Arnulf B. A. – PersonEntity: Name: NameFull: Kohn, Adam – PersonEntity: Name: NameFull: Jazayeri, Mehrdad – PersonEntity: Name: NameFull: Movshon, J. Anthony IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 10976256 Numbering: – Type: volume Value: 14 – Type: issue Value: 2 Titles: – TitleFull: Nature Neuroscience Type: main |
| ResultId | 1 |
