ArticleNature communications2015
Predicting oculomotor behaviour from correlated populations of posterior parietal neurons.
Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Article
- Information-Limiting Correlations in Large Neural Populations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- A Stable Visual World in Primate Primary Visual Cortex.Current biology : CB · 2019Article
- Article
- Correlated variability modifies working memory fidelity in primate prefrontal neuronal ensembles.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Scalable, Lightweight, Integrated and Quick-to-Assemble (SLIQ) Hyperdrives for Functional Circuit Dissection.Frontiers in neural circuits · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Oculomotor function critically depends on how signals representing saccade direction and eye position are combined across neurons in the lateral intraparietal (LIP) area of the posterior parietal cortex. Here we show that populations of parietal neurons exhibit correlated variability, and that using these interneuronal correlations yields oculomotor predictions that are more accurate and also less uncertain. The structure of LIP population responses is therefore essential for reliable read-out of oculomotor behaviour.
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Registered trials
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