ArticleNature neuroscience2019
Effective learning is accompanied by high-dimensional and efficient representations of neural activity.
Article in Nature neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Developmental tuning of functional manifold dimensionality across the human brain.bioRxiv : the preprint server for biology · 2026Article
- Factorized embedding of goal and uncertainty in the lateral prefrontal cortex guides stably flexible learning.Nature communications · 2025Article
- Fluctuation-learning relationship in recurrent neural networks.Nature communications · 2025Article
- A compressed code for memory discrimination.bioRxiv : the preprint server for biology · 2025Article
- Practice reshapes the geometry and dynamics of task-tailored representations.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Network structure influences the strength of learned neural representations.Nature communications · 2025Article
- Practice Reshapes the Geometry and Dynamics of Task-tailored Representations.bioRxiv : the preprint server for biology · 2024Article
- A topological mechanism for robust and efficient global oscillations in biological networks.Nature communications · 2024Article
- The nature of non-native speech sound representations.The Journal of the Acoustical Society of America · 2022Review
- Predicting Spatio-Temporal Human Brain Response Using fMRI.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2022Article
- Higher-dimensional neural representations predict better episodic memory.Science advances · 2022Article
- Orthogonal representations for robust context-dependent task performance in brains and neural networks.Neuron · 2022Article
- Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology.Neuron · 2021Review
- Brain network dynamics during working memory are modulated by dopamine and diminished in schizophrenia.Nature communications · 2021Article
- Sequence learning recodes cortical representations instead of strengthening initial ones.PLoS computational biology · 2021Article
- The dimensionality of neural representations for control.Current opinion in behavioral sciences · 2021Article
- Disentangling Within- and Between-Person Effects During Response Inhibition in Obsessive-Compulsive Disorder.Frontiers in psychiatry · 2021Article
- Emerging native-similar neural representations underlie non-native speech category learning success.Neurobiology of language (Cambridge, Mass.) · 2021Article
- Encouraging an excitable brain state: mechanisms of brain repair in stroke.Nature reviews. Neuroscience · 2021Review
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Authors and funding
6 authors.
Funding
Abstract
A fundamental cognitive process is to map value and identity onto the objects we learn about. However, what space best embeds this mapping is not completely understood. Here we develop tools to quantify the space and organization of such a mapping in neural responses as reflected in functional MRI, to show that quick learners have a higher dimensional representation than slow learners, and hence more easily distinguishable whole-brain responses to objects of different value. Furthermore, we find that quick learners display more compact embedding of their neural responses, and hence have higher ratios of their stimuli dimension to their embedding dimension, which is consistent with greater efficiency of cognitive coding. Lastly, we investigate the neurophysiological drivers at smaller scales and study the complementary distinguishability of whole-brain responses. Our results demonstrate a spatial organization of neural responses characteristic of learning and offer geometric measures applicable to identifying efficient coding in higher-order cognitive processes.
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Registered trials
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