ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2019
Attention Enhances the Efficacy of Communication in V1 Local Circuits.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Article
- Attentional Rhythms Are Sensitive to Binocular Visual Pathway.PsyCh journal · 2025Article
- Correlated variability and its attentional modulation depend on anatomical connectivity.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Spatial Attention Modulates Neuronal Interactions between Simple and Complex Cells in V1.International journal of molecular sciences · 2023Article
- The cost of divided attention for detection of simple visual features primarily reflects limits in post-perceptual processing.Attention, perception & psychophysics · 2023Article
- Article
- Prefrontal Control of Proactive and Reactive Mechanisms of Visual Suppression.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Attention differentially modulates multiunit activity in the lateral geniculate nucleus and V1 of macaque monkeys.The Journal of comparative neurology · 2022Article
- Coarse-to-fine processing drives the efficient coding of natural scenes in mouse visual cortex.Cell reports · 2022Article
- Spatial Attention Modulates Spike Count Correlations and Granger Causality in the Primary Visual Cortex.Frontiers in cellular neuroscience · 2022Article
- Directed information exchange between cortical layers in macaque V1 and V4 and its modulation by selective attention.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Influence of the Location of a Decision Cue on the Dynamics of Pupillary Light Response.Frontiers in human neuroscience · 2021Article
- Changes in Local Network Activity Approximated by Reverse Spike-Triggered Local Field Potentials Predict the Focus of Attention.Cerebral cortex communications · 2020Article
- Functional MRI and EEG Index Complementary Attentional Modulations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
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4 authors.
Funding
Abstract
Attention is a critical component of visual perception; however, the mechanisms of attention at the granular level are poorly understood. One possible mechanism by which attention modulates neuronal activity is to control the efficacy of communication between connected neurons; however, it is unclear whether attention alters communication efficacy across a variety of neuronal circuits. In parallel, attentional modulation of neuronal firing rate is not uniform but depends upon the match between neuronal feature selectivity and the feature required for successful task completion. Here we tested whether modulation of communication efficacy is a viable mechanism of attention by assessing whether it is consistent across a variety of neuronal circuits and dependent upon the type of information conveyed in each circuit. We identified monosynaptically connected pairs of V1 neurons through cross-correlation of neuronal spike trains recorded in adult female macaque monkeys performing attention-demanding contrast-change detection tasks. Attention toward the stimulus in the receptive field of recorded neurons significantly facilitated the efficacy of communication among connected pairs of V1 neurons. The amount of attentional enhancement depended upon neuronal physiology, with larger facilitation for circuits conveying information about task-relevant features. Furthermore, presynaptic activity was more determinant of attentional enhancement of communication efficacy than postsynaptic activity, and feedforward local circuits often displayed the largest facilitation with attention. Together, these findings highlight attentional modulation of communication efficacy as a generalized mechanism of attention and demonstrate that attentional modulation at the granular level depends on the relevance of feature-specific information conveyed by neuronal circuits.
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