ArticleNature communications2024
Neural representational geometries reflect behavioral differences in monkeys and recurrent neural networks.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Structured experience shapes strategy learning and neural dynamics in the medial entorhinal cortex.Nature neuroscience · 2026Article
- Reusable modular architecture enables flexible cognitive operations in the mouse brain and artificial recurrent networks.Nature neuroscience · 2026Article
- Facial expression discrimination emerges from partially overlapping neural subspaces of detection and identity.Nature communications · 2026Article
- Memorizing the future: Encoding anticipated interactions enhances human memory for dynamic stimuli.PNAS nexus · 2026Article
- Transformations of the spatial activity manifold convey aversive information in CA3.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The cost of efficiency in flexible neural representations.bioRxiv : the preprint server for biology · 2026Article
- Structure, disorder, and dynamics in task-trained recurrent neural circuits.bioRxiv : the preprint server for biology · 2026Article
- Predictive pursuit emerges in high-dimensional recurrent neural networks.bioRxiv : the preprint server for biology · 2026Article
- Exploring neural manifolds across a wide range of intrinsic dimensions.PLoS computational biology · 2026Article
- History bias and its perturbation of the stimulus representation in the macaque prefrontal cortex.The Journal of physiology · 2026Article
- Decodanda: a Python toolbox for best-practice decoding and geometric analysis of neural representations.bioRxiv : the preprint server for biology · 2026Article
- A mathematical theory for understanding when abstract representations emerge in neural networks.ArXiv · 2026Article
- Article
- Inferring latent behavioral strategy from the representational geometry of prefrontal cortex activity.Nature communications · 2026Article
- The geometry of context-dependent biased decisions during learning.bioRxiv : the preprint server for biology · 2026Article
- A neural circuit framework for economic choice: from building blocks of valuation to compositionality in multitasking.bioRxiv : the preprint server for biology · 2025Article
- Reusable modular architecture enables flexible cognitive operations.Research square · 2025Article
- Efficient and dynamic neural geometry of value and modality encoding in the primate putamen for value-guided behavior.Nature communications · 2025Article
- Article
- Out of the single-neuron straitjacket: Neurons within assemblies change selectivity and their reconfiguration underlies dynamic coding.The Journal of physiology · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
Animals likely use a variety of strategies to solve laboratory tasks. Traditionally, combined analysis of behavioral and neural recording data across subjects employing different strategies may obscure important signals and give confusing results. Hence, it is essential to develop techniques that can infer strategy at the single-subject level. We analyzed an experiment in which two male monkeys performed a visually cued rule-based task. The analysis of their performance shows no indication that they used a different strategy. However, when we examined the geometry of stimulus representations in the state space of the neural activities recorded in dorsolateral prefrontal cortex, we found striking differences between the two monkeys. Our purely neural results induced us to reanalyze the behavior. The new analysis showed that the differences in representational geometry are associated with differences in the reaction times, revealing behavioral differences we were unaware of. All these analyses suggest that the monkeys are using different strategies. Finally, using recurrent neural network models trained to perform the same task, we show that these strategies correlate with the amount of training, suggesting a possible explanation for the observed neural and behavioral differences.
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