ArticleNature communications2018
Distinct population codes for attention in the absence and presence of visual stimulation.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- A standardized and reproducible behavioral framework to elicit multiple aspects of visual spatial attention in mice.Cell reports methods · 2026Article
- Interactions across hemispheres in prefrontal cortex reflect global cognitive processing.Nature communications · 2026Article
- Task learning increases information redundancy of neural responses in macaque visual cortex.Science (New York, N.Y.) · 2026Article
- Spatial attention selectively alters visual cortical representation during target anticipation.Nature communications · 2025Article
- Interactions across hemispheres in prefrontal cortex reflect global cognitive processing.bioRxiv : the preprint server for biology · 2025Article
- Neural Dynamics in Extrastriate Cortex Underlying False Alarms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Robust encoding of stimulus-response mapping by neurons in visual cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Recent Visual Experience Reshapes V4 Neuronal Activity and Improves Perceptual Performance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Automated customization of large-scale spiking network models to neuronal population activity.Nature computational science · 2024Article
- Flexible neural population dynamics govern the speed and stability of sensory encoding in mouse visual cortex.Nature communications · 2024Article
- Dynamic attention signalling in V4: Relation to fast-spiking/non-fast-spiking cell class and population coupling.The European journal of neuroscience · 2023Article
- Tracking momentary fluctuations in human attention with a cognitive brain-machine interface.Communications biology · 2022Article
- The eyes reflect an internal cognitive state hidden in the population activity of cortical neurons.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Higher-dimensional neural representations predict better episodic memory.Science advances · 2022Article
- A Stable Population Code for Attention in Prefrontal Cortex Leads a Dynamic Attention Code in Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
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- Decoding of Attentional State Using High-Frequency Local Field Potential Is As Accurate As Using Spikes.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
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- Slow Drift of Neural Activity as a Signature of Impulsivity in Macaque Visual and Prefrontal Cortex.Neuron · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Visual neurons respond more vigorously to an attended stimulus than an unattended one. How the brain prepares for response gain in anticipation of that stimulus is not well understood. One prominent proposal is that anticipation is characterized by gain-like modulations of spontaneous activity similar to gains in stimulus responses. Here we test an alternative idea: anticipation is characterized by a mixture of both increases and decreases of spontaneous firing rates. Such a strategy would be adaptive as it supports a simple linear scheme for disentangling internal, modulatory signals from external, sensory inputs. We recorded populations of V4 neurons in monkeys performing an attention task, and found that attention states are signaled by different mixtures of neurons across the population in the presence or absence of a stimulus. Our findings support a move from a stimulation-invariant account of anticipation towards a richer view of attentional modulation in a diverse neuronal population.
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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.