ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2020
The Effects of Population Tuning and Trial-by-Trial Variability on Information Encoding and Behavior.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2020. 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.
- Decodanda: a Python toolbox for best-practice decoding and geometric analysis of neural representations.bioRxiv : the preprint server for biology · 2026Article
- A universal power law optimizes energy and representation fidelity in visual adaptation.bioRxiv : the preprint server for biology · 2025Article
- Adaptation shapes the representational geometry in mouse V1 to efficiently encode the environment.bioRxiv : the preprint server for biology · 2025Article
- Metformin improves age-related visual cortex dysfunction in mice by reducing noise correlation in the primary visual cortex.Frontiers in aging neuroscience · 2025Article
- The neural basis of swap errors in working memory.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Efficient Decoding of Large-Scale Neural Population Responses With Gaussian-Process Multiclass Regression.Neural computation · 2024Article
- Comparison of orientation encoding across layers within single columns of primate V1 revealed by high-density recordings.Frontiers in neural circuits · 2024Article
- Article
- Distinct context- and content-dependent population codes in superior colliculus during sensation and action.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Robust and efficient representations of dynamic stimuli in hierarchical neural networks via temporal smoothing.Frontiers in computational neuroscience · 2023Article
- Article
- The structures and functions of correlations in neural population codes.Nature reviews. Neuroscience · 2022Review
- Distractibility and impulsivity neural states are distinct from selective attention and modulate the implementation of spatial attention.Nature communications · 2022Article
- Seasonal Prevalence of Gastrointestinal Parasites in Macaques (Animals : an open access journal from MDPI · 2022Article
- Cognitive strategies shift information from single neurons to populations in prefrontal cortex.Neuron · 2022Article
- Cortical state dynamics and selective attention define the spatial pattern of correlated variability in neocortex.Nature communications · 2022Article
- Spatio-Temporally Efficient Coding Assigns Functions to Hierarchical Structures of the Visual System.Frontiers in computational neuroscience · 2022Article
- Neural tuning and representational geometry.Nature reviews. Neuroscience · 2021Review
- Ketamine disrupts naturalistic coding of working memory in primate lateral prefrontal cortex networks.Molecular psychiatry · 2021Article
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Authors and funding
6 authors.
Funding
Abstract
Identifying the features of population responses that are relevant to the amount of information encoded by neuronal populations is a crucial step toward understanding population coding. Statistical features, such as tuning properties, individual and shared response variability, and global activity modulations, could all affect the amount of information encoded and modulate behavioral performance. We show that two features in particular affect information: the modulation of population responses across conditions (population signal) and the inverse population covariability along the modulation axis (projected precision). We demonstrate that fluctuations of these two quantities are correlated with fluctuations of behavioral performance in various tasks and brain regions consistently across 4 monkeys (1 female and 1 male
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Registered trials
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.