Spatial attention decorrelates intrinsic activity fluctuations in macaque area V4.

By Jude F. Mitchell, Kristy A. Sundberg, John H. Reynolds. Neuron, 2009

737 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/75a1018f23f49e7b7c68858fb5d7638a976d6b96

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In Cognitive Neuroscience

Citations in the corpus

Attention improves performance primarily by reducing interneuronal correlations (2009, background): “Note added in proof: A recent study in area V4 confirmed that attention reduces noise correlation”
Neuromodulation of brain states. (2012, neutral): “Neuron 7 that attention also causes a decrease in stimulus-independent correlated firing between neurons (Cohen and Maunsell, 2009; Mitchell et al., 2009), which may improve sensory encoding at the ensemble level (Zohary et al.”
An Introduction to Model-Based Cognitive Neuroscience (2015, background): “SEF receives input from areas that represent option value, such as the orbitofrontal cortex and the amygdala [102, 103].”
Computation Through Neural Population Dynamics (2020, background): “…foundational insights, in recent years there has been considerable interest in understanding how populations of neurons encode and process information (e.g., Georgopoulos et al. 1982, Saxena & Cunningham 2019), including the interaction between neurons (Cohen &Maunsell 2009,Mitchell et al. 2009).”
Attention Spiking Neural Networks (2022, background): “Another consensus is that attention is associated with neuronal spiking activity rate, not only in local single-neuron [26] but also in more global visual cortex areas [54].”
Correlations and Neuronal Population Information (2016, background): “Similarly, the allocation of attention can reduce correlations strongly (Cohen & Maunsell 2009, Mitchell et al. 2009, Harris & Thiele 2011, Herrero et al. 2013) but in other contexts may increase correlations (Ruff & Cohen 2014).”
Basal Forebrain Cholinergic Circuits and Signaling in Cognition and Cognitive Decline (2016, positive): “During the actual performance of a behavioral task, decorrelation increases the response reliability of sensory cortex neurons to the appropriate stimuli (Cohen and Maunsell, 2009; Mitchell et al., 2009).”
Measuring and interpreting neuronal correlations (2011, positive): “More recently, it has been shown that attentional modulation of correlations accounts for more of its effect on sensory coding than modulation of firing rat”
Gamma-band synchronization in the neocortex: novel analysis methods and their application to sensory and motivational systems (2013, background): “, 2001b, 2008), effectively equating a reduction in noise correlations (Mitchell et al., 2009).”
Waking State: Rapid Variations Modulate Neural and Behavioral Responses (2015, positive): “, 2007), decreases noise correlations (Cohen and Maunsell, 2009; Mitchell et al., 2009), increases the S/N and both spontaneous and evoked firing rates (Luck et al.”
Laminar differences in gamma and alpha coherence in the ventral stream (2011, background): “Although the low-frequency desynchronization with attention found in one study (14) appeared to be strongly related to the decrease in noise correlation that was found, these two phenomena were dissociated in the present study in that we found that low-frequency synchrony in superficial V4 increased”
Cortical areas interact through a communication subspace (2019, positive): “, 2018), attention (Cohen and Maunsell, 2009; Mitchell et al., 2009), learning (Gu et al.”