ArticleeLife2022
Coding of latent variables in sensory, parietal, and frontal cortices during closed-loop virtual navigation.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Neural and computational correlates of strategic aborting and long-run policy optimization in the dorsolateral prefrontal cortex.Nature communications · 2026Article
- Temporal Structure of Reward Availability and Sensory Uncertainty Modulate Allocation Dynamics in Naturalistic Foraging.bioRxiv : the preprint server for biology · 2026Article
- Primate neuroethology: a new synthesis.Trends in cognitive sciences · 2026Review
- How distributed is the brain-wide network that is recruited for cognition?Nature reviews. Neuroscience · 2026Review
- Diagnostic classification of children and adolescents with high-functioning autism spectrum disorder based on brain functional network characteristics of the dense individualized and common connectivity-based cortical landmark model.Frontiers in psychiatry · 2026Article
- Belief embodiment through eye movements facilitates memory-guided navigation.Nature communications · 2025Article
- A common computational and neural anomaly across mouse models of autism.Nature neuroscience · 2025Article
- A corticostriatal learning mechanism linking excess striatal dopamine and auditory hallucinations.bioRxiv : the preprint server for biology · 2025Article
- Article
- Inductive biases of neural network modularity in spatial navigation.Science advances · 2024Article
- Context-invariant beliefs are supported by dynamic reconfiguration of single unit functional connectivity in prefrontal cortex of male macaques.Nature communications · 2024Article
- Brain mechanism of foraging: Reward-dependent synaptic plasticity versus neural integration of values.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Causal inference during closed-loop navigation: parsing of self- and object-motion.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Self-motion perception and sequential decision-making: where are we heading?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Context-invariant beliefs are supported by dynamic reconfiguration of single unit functional connectivity in prefrontal cortex.bioRxiv : the preprint server for biology · 2023Article
- Computational cross-species views of the hippocampal formation.Hippocampus · 2023Review
- Causal inference during closed-loop navigation: parsing of self- and object-motion.bioRxiv : the preprint server for biology · 2023Article
- Making Sense of the Multiplicity and Dynamics of Navigational Codes in the Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Review
- Coding of latent variables in sensory, parietal, and frontal cortices during closed-loop virtual navigation.eLife · 2022Article
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Authors and funding
8 authors.
Funding
Abstract
We do not understand how neural nodes operate and coordinate within the recurrent action-perception loops that characterize naturalistic self-environment interactions. Here, we record single-unit spiking activity and local field potentials (LFPs) simultaneously from the dorsomedial superior temporal area (MSTd), parietal area 7a, and dorsolateral prefrontal cortex (dlPFC) as monkeys navigate in virtual reality to 'catch fireflies'. This task requires animals to actively sample from a closed-loop virtual environment while concurrently computing continuous latent variables: (i) the distance and angle travelled (i.e., path integration) and (ii) the distance and angle to a memorized firefly location (i.e., a hidden spatial goal). We observed a patterned mixed selectivity, with the prefrontal cortex most prominently coding for latent variables, parietal cortex coding for sensorimotor variables, and MSTd most often coding for eye movements. However, even the traditionally considered sensory area (i.e., MSTd) tracked latent variables, demonstrating path integration and vector coding of hidden spatial goals. Further, global encoding profiles and unit-to-unit coupling (i.e., noise correlations) suggested a functional subnetwork composed by MSTd and dlPFC, and not between these and 7a, as anatomy would suggest. We show that the greater the unit-to-unit coupling between MSTd and dlPFC, the more the animals' gaze position was indicative of the ongoing location of the hidden spatial goal. We suggest this MSTd-dlPFC subnetwork reflects the monkeys' natural and adaptive task strategy wherein they continuously gaze toward the location of the (invisible) target. Together, these results highlight the distributed nature of neural coding during closed action-perception loops and suggest that fine-grain functional subnetworks may be dynamically established to subserve (embodied) task strategies.
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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.