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Feedback Determines the Structure of Correlated Variability in Primary Visual Cortex
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Feedforward and feedback sources of choice probability in neural population responses
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Context-Dependent Changes in Functional Circuitry in Visual Area MT
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Neural Variability and Sampling-Based Probabilistic Representations in the Visual Cortex
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Always returning: feedback and sensory processing in visual cortex and thalamus
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Attention can either increase or decrease spike count correlations in visual cortex
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Sensory and decision-related activity propagate in a cortical feedback loop during touch perception
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Neuronal correlates of subjective sensory experience
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Psychophysically measured task strategy for disparity discrimination is reflected in V2 neurons
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Dynamics of neuronal responses in macaque MT and VIP during motion detection
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Neural correlations, population coding and computation
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Task-induced neural covariability as a signature of approximate Bayesian learning and inference
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Population coding in neuronal systems with correlated noise
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Selective Attention Gates Visual Processing in the Extrastriate Cortex
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Decision-Related Activity in Sensory Neurons: Correlations Among Neurons and with Behavior
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The Attention System of the Human Brain
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Insights into decision making using choice probability
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Potential confounds in estimating trial-to-trial correlations between neuronal response and behavior using choice probabilities
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Correlated firing of cat retinal ganglion cells. I. Spontaneously active inputs to X- and Y-cells
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The Effect of Correlated Variability on the Accuracy of a Population Code
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Visual signal detection IV Observer inconsistency
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Spatial and Temporal Scales of Neuronal Correlation in Primary Visual Cortex
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Selective Attention Gates Visual Processing in the Extrastriate Cortex
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Quantitative analysis of mammalian GIRK2 channel regulation by G proteins, the signaling lipid PIP2 and Na+ in a reconstituted system
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Attention stabilizes the shared gain of V4 populations
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.conb.2017.07.006openalex-snapshot
Characterizing and interpreting the influence of internal variables on sensory activity
inferred← citeshttps://doi.org/10.1016/j.isci.2024.110512openalex-snapshot
Circuit-motivated generalized affine models characterize stimulus-dependent visual cortical shared variability
inferred← citeshttps://doi.org/10.1016/j.neuron.2017.05.028openalex-snapshot
Inference in the Brain: Statistics Flowing in Redundant Population Codes
inferred← citeshttps://doi.org/10.1016/j.neuron.2021.10.011openalex-snapshot
Metastable attractors explain the variable timing of stable behavioral action sequences
inferred← citeshttps://doi.org/10.1038/s41467-025-62949-7openalex-snapshot
Coordinated multi-level adaptations across neocortical areas during task learning
inferred← citeshttps://doi.org/10.1038/s41593-025-02116-9openalex-snapshot
Neural basis of concurrent deliberation toward a choice and confidence judgment
inferred← citeshttps://doi.org/10.1101/114439openalex-snapshot
Characterizing and interpreting the influence of internal variables on sensory activity
inferred← citeshttps://doi.org/10.1101/217976openalex-snapshot
Circuit models of low dimensional shared variability in cortical networks
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Linking V1 Activity to Behavior
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How the brain might work: statistics flowing in redundant population codes
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