ArticleNature communications2022
Recurrent neural networks with explicit representation of dynamic latent variables can mimic behavioral patterns in a physical inference task.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Belief embodiment through eye movements facilitates memory-guided navigation.Nature communications · 2025Article
- Personalized brain models link cognitive decline progression to underlying synaptic and connectivity degeneration.Alzheimer's research & therapy · 2025Article
- Advanced Artificial Intelligence Technologies Transforming Contemporary Pharmaceutical Research.Bioengineering (Basel, Switzerland) · 2025Review
- MARBLE: interpretable representations of neural population dynamics using geometric deep learning.Nature methods · 2025Article
- Neural circuit mechanisms to transform cerebellar population dynamics for motor control in monkeys.bioRxiv : the preprint server for biology · 2025Article
- Linking neural population formatting to function.bioRxiv : the preprint server for biology · 2025Article
- Dynamic tracking of objects in the macaque dorsomedial frontal cortex.Nature communications · 2025Article
- The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.Health science reports · 2025Article
- Monkeys engage in visual simulation to solve complex problems.Current biology : CB · 2024Article
- Shaping dynamical neural computations using spatiotemporal constraints.Biochemical and biophysical research communications · 2024Review
- A transient high-dimensional geometry affords stable conjunctive subspaces for efficient action selection.Nature communications · 2024Article
- A Transient High-dimensional Geometry Affords Stable Conjunctive Subspaces for Efficient Action Selection.bioRxiv : the preprint server for biology · 2024Article
- The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review.AAPS PharmSciTech · 2024Review
- Article
- Monkeys engage in visual simulation to solve complex problems.bioRxiv : the preprint server for biology · 2024Article
- Inferring control objectives in a virtual balancing task in humans and monkeys.bioRxiv : the preprint server for biology · 2023Article
- Article
- Reconstructing computational system dynamics from neural data with recurrent neural networks.Nature reviews. Neuroscience · 2023Review
- Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes.ArXiv · 2023Article
- Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design.Pharmaceutics · 2023Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Primates can richly parse sensory inputs to infer latent information. This ability is hypothesized to rely on establishing mental models of the external world and running mental simulations of those models. However, evidence supporting this hypothesis is limited to behavioral models that do not emulate neural computations. Here, we test this hypothesis by directly comparing the behavior of primates (humans and monkeys) in a ball interception task to that of a large set of recurrent neural network (RNN) models with or without the capacity to dynamically track the underlying latent variables. Humans and monkeys exhibit similar behavioral patterns. This primate behavioral pattern is best captured by RNNs endowed with dynamic inference, consistent with the hypothesis that the primate brain uses dynamic inferences to support flexible physical predictions. Moreover, our work highlights a general strategy for using model neural systems to test computational hypotheses of higher brain function.
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