Dimensionality, information and learning in prefrontal cortex Article Swipe
Ramón Bartolo
,
Richard C. Saunders
,
Andrew R. Mitz
,
Bruno B. Averbeck
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pcbi.1007514
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pcbi.1007514
Learning leads to changes in population patterns of neural activity. In this study we wanted to examine how these changes in patterns of activity affect the dimensionality of neural responses and information about choices. We addressed these questions by carrying out high channel count recordings in dorsal-lateral prefrontal cortex (dlPFC; 768 electrodes) while monkeys performed a two-armed bandit reinforcement learning task. The high channel count recordings allowed us to study population coding while monkeys learned choices between actions or objects. We found that the dimensionality of neural population activity was higher across blocks in which animals learned the values of novel pairs of objects, than across blocks in which they learned the values of actions. The increase in dimensionality with learning in object blocks was related to less shared information across blocks, and therefore patterns of neural activity that were less similar, when compared to learning in action blocks. Furthermore, these differences emerged with learning, and were not a simple function of the choice of a visual image or action. Therefore, learning the values of novel objects increases the dimensionality of neural representations in dlPFC.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pcbi.1007514
- https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007514&type=printable
- OA Status
- gold
- Cited By
- 49
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3020406335
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https://openalex.org/W3020406335Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pcbi.1007514Digital Object Identifier
- Title
-
Dimensionality, information and learning in prefrontal cortexWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-04-24Full publication date if available
- Authors
-
Ramón Bartolo, Richard C. Saunders, Andrew R. Mitz, Bruno B. AverbeckList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pcbi.1007514Publisher landing page
- PDF URL
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https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007514&type=printableDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007514&type=printableDirect OA link when available
- Concepts
-
Neural coding, Curse of dimensionality, Population, Prefrontal cortex, Artificial intelligence, Reinforcement learning, Computer science, Dimensionality reduction, Neuroscience, Psychology, Pattern recognition (psychology), Cognitive psychology, Machine learning, Cognition, Sociology, DemographyTop concepts (fields/topics) attached by OpenAlex
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49Total citation count in OpenAlex
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2025: 10, 2024: 12, 2023: 4, 2022: 7, 2021: 10Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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