ArticlePLoS computational biology2020
Dimensionality, information and learning in prefrontal cortex.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Learning shapes neural geometry in the primate prefrontal cortex.Nature neuroscience · 2026Article
- Developmental tuning of functional manifold dimensionality across the human brain.bioRxiv : the preprint server for biology · 2026Article
- Hippocampal ripples initiate cortical dimensionality expansion for memory retrieval.Nature communications · 2026Article
- Long-term Learning Induces Plastic Changes in Frontostriatal Circuits.bioRxiv : the preprint server for biology · 2026Article
- A Framework for Compressive On-Chip Action Potential Recording.IEEE transactions on bio-medical engineering · 2026Article
- Sequential experience reshapes population representations in visual cortex.bioRxiv : the preprint server for biology · 2026Article
- Contribution of amygdala to dynamic model arbitration under uncertainty.Nature communications · 2025Article
- Hippocampal-cortical interactions in the consolidation of social memory.Nature communications · 2025Article
- Article
- Task structure tailors the geometry of neural representations in human lateral prefrontal cortex.bioRxiv : the preprint server for biology · 2025Article
- Compositional architecture: Orthogonal neural codes for task context and spatial memory in prefrontal cortex.bioRxiv : the preprint server for biology · 2025Article
- The Dimensionality of Neural Coding for Cognitive Control Is Gradually Transformed within the Lateral Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Article
- Stimulating prefrontal cortex facilitates training transfer by increasing representational overlap.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Learning leaves a memory trace in motor cortex.Current biology : CB · 2024Article
- Large-scale cranial window for in vivo mouse brain imaging utilizing fluoropolymer nanosheet and light-curable resin.Communications biology · 2024Article
- Data Compression Versus Signal Fidelity Tradeoff in Wired-OR Analog-to-Digital Compressive Arrays for Neural Recording.IEEE transactions on biomedical circuits and systems · 2023Article
- Cognition and the single neuron: How cell types construct the dynamic computations of frontal cortex.Current opinion in neurobiology · 2022Review
- The spatial scale of somatostatin subnetworks increases from sensory to association cortex.Cell reports · 2022Article
- Pruning recurrent neural networks replicates adolescent changes in working memory and reinforcement learning.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.