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Measuring and interpreting neuronal correlations

Nature neuroscience, 2011-07, Vol.14 (7), p.811-819

2011

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Attention can either increase or decrease spike count correlations in visual cortex

Nature neuroscience, 2014-11, Vol.17 (11), p.1591-1597

2014

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Using Neuronal Populations to Study the Mechanisms Underlying Spatial and Feature Attention

Neuron (Cambridge, Mass.), 2011-06, Vol.70 (6), p.1192-1204

2011

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Circuit Models of Low-Dimensional Shared Variability in Cortical Networks

Neuron (Cambridge, Mass.), 2019-01, Vol.101 (2), p.337-348.e4

2019

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Decision-Related Activity in Sensory Neurons: Correlations Among Neurons and with Behavior

Annual review of neuroscience, 2012-01, Vol.35 (1), p.463-483

2012

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Distinguishing Features and Similarities Between Descriptive Phenomenological and Qualitative Description Research

Western journal of nursing research, 2016-09, Vol.38 (9), p.1185-1204

2016

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Priority coding in the visual system

Nature reviews. Neuroscience, 2022-06, Vol.23 (6), p.376

2022

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Simultaneous multi-area recordings suggest that attention improves performance by reshaping stimulus representations

Nature neuroscience, 2019-10, Vol.22 (10), p.1669

2019

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Attention improves information flow between neuronal populations without changing the communication subspace

Current biology, 2021-12, Vol.31 (23), p.5299-5313.e4

2021

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Estimates of the Contribution of Single Neurons to Perception Depend on Timescale and Noise Correlation

The Journal of neuroscience, 2009-05, Vol.29 (20), p.6635-6648

2009

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Attention improves performance primarily by reducing interneuronal correlations

Nature neuroscience, 2009-12, Vol.12 (12), p.1594-1600

2009

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Effectiveness and Safety of the Awakening and Breathing Coordination, Delirium Monitoring/Management, and Early Exercise/Mobility Bundle

Critical care medicine, 2014-05, Vol.42 (5), p.1024-1036

2014

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Dynamic task-belief is an integral part of decision-making

Neuron (Cambridge, Mass.), 2022-08, Vol.110 (15), p.2503-2511.e3

2022

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Attention Increases Spike Count Correlations between Visual Cortical Areas

The Journal of neuroscience, 2016-07, Vol.36 (28), p.7523-7534

2016

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Targeted V1 comodulation supports task-adaptive sensory decisions

Nature communications, 2023-11, Vol.14 (1), p.7879-7879, Article 7879

2023

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Topological insights into the neural basis of flexible behavior

Proceedings of the National Academy of Sciences - PNAS, 2023-06, Vol.120 (24), p.e2219557120-e2219557120

2023

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Context-Dependent Changes in Functional Circuitry in Visual Area MT

Neuron (Cambridge, Mass.), 2008-10, Vol.60 (1), p.162-173

2008

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Attentional modulation of neuronal variability in circuit models of cortex

eLife, 2017-06, Vol.6

2017

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Cognition as a Window into Neuronal Population Space

Annual review of neuroscience, 2018-07, Vol.41, p.77

2018

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A normalization model suggests that attention changes the weighting of inputs between visual areas

Proceedings of the National Academy of Sciences - PNAS, 2017-05, Vol.114 (20), p.E4085-E4094

2017

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A neuronal population measure of attention predicts behavioral performance on individual trials

The Journal of neuroscience, 2010-11, Vol.30 (45), p.15241-15253

2010

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A general decoding strategy explains the relationship between behavior and correlated variability

eLife, 2022-06, Vol.11

2022

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Stimulus Dependence of Correlated Variability across Cortical Areas

The Journal of neuroscience, 2016-07, Vol.36 (28), p.7546-7556

2016

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Implementing the Awakening and Breathing Coordination, Delirium Monitoring/Management, and Early Exercise/Mobility Bundle into Everyday Care: Opportunities, Challenges, and Lessons Learned for Implementing the ICU Pain, Agitation, and Delirium Guidelines

Critical care medicine, 2013-09, Vol.41 (9 Suppl 1), p.S116-S127

2013

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Methylphenidate and/or a Nursing Telephone Intervention for Fatigue in Patients With Advanced Cancer: A Randomized, Placebo-Controlled, Phase II Trial

Journal of clinical oncology, 2013-07, Vol.31 (19), p.2421-2427

2013

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Measuring and interpreting neuronal correlations

Attention can either increase or decrease spike count correlations in visual cortex

Using Neuronal Populations to Study the Mechanisms Underlying Spatial and Feature Attention

Circuit Models of Low-Dimensional Shared Variability in Cortical Networks

Decision-Related Activity in Sensory Neurons: Correlations Among Neurons and with Behavior

Distinguishing Features and Similarities Between Descriptive Phenomenological and Qualitative Description Research

Priority coding in the visual system

Simultaneous multi-area recordings suggest that attention improves performance by reshaping stimulus representations

Attention improves information flow between neuronal populations without changing the communication subspace

Estimates of the Contribution of Single Neurons to Perception Depend on Timescale and Noise Correlation

Attention improves performance primarily by reducing interneuronal correlations

Effectiveness and Safety of the Awakening and Breathing Coordination, Delirium Monitoring/Management, and Early Exercise/Mobility Bundle

Dynamic task-belief is an integral part of decision-making

Attention Increases Spike Count Correlations between Visual Cortical Areas

Targeted V1 comodulation supports task-adaptive sensory decisions

Topological insights into the neural basis of flexible behavior

Context-Dependent Changes in Functional Circuitry in Visual Area MT

Attentional modulation of neuronal variability in circuit models of cortex

Cognition as a Window into Neuronal Population Space

A normalization model suggests that attention changes the weighting of inputs between visual areas

A neuronal population measure of attention predicts behavioral performance on individual trials

A general decoding strategy explains the relationship between behavior and correlated variability

Stimulus Dependence of Correlated Variability across Cortical Areas

Implementing the Awakening and Breathing Coordination, Delirium Monitoring/Management, and Early Exercise/Mobility Bundle into Everyday Care: Opportunities, Challenges, and Lessons Learned for Implementing the ICU Pain, Agitation, and Delirium Guidelines

Methylphenidate and/or a Nursing Telephone Intervention for Fatigue in Patients With Advanced Cancer: A Randomized, Placebo-Controlled, Phase II Trial

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