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Task-induced neural covariability as a signature of approximate Bayesian learning and inference

https://doi.org/10.1101/081661
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1 of the 94 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-04): 10.7554/elife.12248 (notice 2018-04-12).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Computational Models of Brain and Behavior
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Dynamic belief state representations
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Belief states as a framework to explain extra-retinal influences in visual cortex
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Characterizing and interpreting the influence of internal variables on sensory activity
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Noise correlations and perceptual inference
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Choice (-history) correlations in sensory cortex: cause or consequence?
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Cognitive Tomography Reveals Complex, Task-Independent Mental Representations
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Context-Dependent Changes in Functional Circuitry in Visual Area MT
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Probabilistic Population Codes for Bayesian Decision Making
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State Dependence of Noise Correlations in Macaque Primary Visual Cortex
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How Can Single Sensory Neurons Predict Behavior?
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Perceptual Decision-Making as Probabilistic Inference by Neural Sampling
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Neural Variability and Sampling-Based Probabilistic Representations in the Visual Cortex
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Sparse coding with an overcomplete basis set: A strategy employed by V1?
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The `Ideal Homunculus': decoding neural population signals
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Levels of equivalence in imagery and perception.
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Correlated neuronal discharge rate and its implications for psychophysical performance
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Emergence of simple-cell receptive field properties by learning a sparse code for natural images
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Natural signal statistics and sensory gain control
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Decision-related activity in sensory neurons reflects more than a neuron’s causal effect
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Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT
inferredcites →https://doi.org/10.1038/ncomms8213openalex-snapshot
Variants in ELL2 influencing immunoglobulin levels associate with multiple myeloma
inferredcites →https://doi.org/10.1038/nn.2304openalex-snapshot
Reinforcement learning can account for associative and perceptual learning on a visual-decision task
inferredcites →https://doi.org/10.1038/nn.3309openalex-snapshot
Inferring decoding strategies from choice probabilities in the presence of correlated variability
inferredcites →https://doi.org/10.1038/nn.3495openalex-snapshot
Probabilistic brains: knowns and unknowns
inferredcites →https://doi.org/10.1038/nn.3689openalex-snapshot
Serial dependence in visual perception
inferredcites →https://doi.org/10.1038/nn.3711openalex-snapshot
Partitioning neuronal variability
inferredcites →https://doi.org/10.1038/nn.3776openalex-snapshot
Dimensionality reduction for large-scale neural recordings
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Information-limiting correlations
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A Bayesian observer model constrained by efficient coding can explain 'anti-Bayesian' percepts
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The mechanics of state-dependent neural correlations
inferredcites →https://doi.org/10.1038/nn1669openalex-snapshot
Noise characteristics and prior expectations in human visual speed perception
inferredcites →https://doi.org/10.1038/nn1790openalex-snapshot
Bayesian inference with probabilistic population codes
inferredcites →https://doi.org/10.1038/nn1991openalex-snapshot
Psychophysically measured task strategy for disparity discrimination is reflected in V2 neurons
inferredcites →https://doi.org/10.1038/nn2070openalex-snapshot
Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area
inferredcites →https://doi.org/10.1038/nrn1787openalex-snapshot
Critical period plasticity in local cortical circuits
inferredcites →https://doi.org/10.1038/nrn1888openalex-snapshot
Neural correlations, population coding and computation
inferredcites →https://doi.org/10.1038/nrn2258openalex-snapshot
Noise in the nervous system
inferredcites →https://doi.org/10.1038/nrn3838openalex-snapshot
Expectation in perceptual decision making: neural and computational mechanisms
inferredcites →https://doi.org/10.1038/s41593-018-0089-1openalex-snapshot
Feedback determines the structure of correlated variability in primary visual cortex
inferredcites →https://doi.org/10.1038/s41593-019-0554-5openalex-snapshot
A neural basis of probabilistic computation in visual cortex
inferredcites →https://doi.org/10.1038/srep22536openalex-snapshot
Population Code Dynamics in Categorical Perception
inferredcites →https://doi.org/10.1073/pnas.1503833112openalex-snapshot
Uncoupling protein 1 binds one nucleotide per monomer and is stabilized by tightly bound cardiolipin
inferredcites →https://doi.org/10.1073/pnas.1816766116openalex-snapshot
Stimulus complexity shapes response correlations in primary visual cortex
inferredcites →https://doi.org/10.1093/cercor/1.1.1-aopenalex-snapshot
Preface: Cerebral Cortex Has Come of Age
inferredcites →https://doi.org/10.1101/018226openalex-snapshot
On the structure of population activity under fluctuations in attentional state
inferredcites →https://doi.org/10.1101/118398openalex-snapshot
Decision-related signals in the presence of nonzero signal stimuli, internal bias, and feedback
inferredcites →https://doi.org/10.1101/624387openalex-snapshot
Flexible and accurate decoding of neural populations through stochastic comodulation
inferredcites →https://doi.org/10.1101/696088openalex-snapshot
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference
inferredcites →https://doi.org/10.1103/physreve.94.042312openalex-snapshot
Stochastic inference with spiking neurons in the high-conductance state
inferredcites →https://doi.org/10.1126/science.1160028openalex-snapshot
Unsupervised Natural Experience Rapidly Alters Invariant Object Representation in Visual Cortex
inferredcites →https://doi.org/10.1126/science.1195870openalex-snapshot
Spontaneous Cortical Activity Reveals Hallmarks of an Optimal Internal Model of the Environment
inferredcites →https://doi.org/10.1126/science.6539501openalex-snapshot
Illusory Contours and Cortical Neuron Responses
inferredcites →https://doi.org/10.1126/science.aao0284openalex-snapshot
Learning and attention reveal a general relationship between population activity and behavior
inferredcites →https://doi.org/10.1146/annurev-neuro-062111-150403openalex-snapshot
Decision-Related Activity in Sensory Neurons: Correlations Among Neurons and with Behavior
inferredcites →https://doi.org/10.1146/annurev-neuro-070815-013851openalex-snapshot
Correlations and Neuronal Population Information
inferredcites →https://doi.org/10.1146/annurev-neuro-071013-014017openalex-snapshot
Neural Coding of Uncertainty and Probability
inferredcites →https://doi.org/10.1146/annurev-neuro-080317-061936openalex-snapshot
Cognition as a Window into Neuronal Population Space
inferredcites →https://doi.org/10.1146/annurev.neuro.21.1.227openalex-snapshot
SENSE AND THE SINGLE NEURON: Probing the Physiology of Perception
inferredcites →https://doi.org/10.1146/annurev.neuro.29.051605.113038openalex-snapshot
The Neural Basis of Decision Making
inferredcites →https://doi.org/10.1146/annurev.psych.55.090902.142005openalex-snapshot
Object Perception as Bayesian Inference
inferredcites →https://doi.org/10.1162/089976698300017818openalex-snapshot
Probabilistic Interpretation of Population Codes
inferredcites →https://doi.org/10.1162/neco_a_00638openalex-snapshot
Efficient Sensory Encoding and Bayesian Inference with Heterogeneous Neural Populations
inferredcites →https://doi.org/10.1167/14.1.1openalex-snapshot
The face inversion effect in infants is driven by high, and not low, spatial frequencies
inferredcites →https://doi.org/10.1364/josaa.20.001434openalex-snapshot
Hierarchical Bayesian inference in the visual cortex
inferredcites →https://doi.org/10.1371/journal.pcbi.1002211openalex-snapshot
Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons
inferredcites →https://doi.org/10.1371/journal.pcbi.1002294openalex-snapshot
Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons
inferredcites →https://doi.org/10.1371/journal.pcbi.1003062openalex-snapshot
Are V1 Simple Cells Optimized for Visual Occlusions? A Comparative Study
inferredcites →https://doi.org/10.1371/journal.pcbi.1005186openalex-snapshot
The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit Dynamics
inferredcites →https://doi.org/10.1371/journal.pone.0000943openalex-snapshot
Causal Inference in Multisensory Perception
inferredcites →https://doi.org/10.1523/jneurosci.16-04-01486.1996openalex-snapshot
A computational analysis of the relationship between neuronal and behavioral responses to visual motion
inferredcites →https://doi.org/10.1523/jneurosci.1706-11.2011openalex-snapshot
Marginalization in Neural Circuits with Divisive Normalization
inferredcites →https://doi.org/10.1523/jneurosci.2225-17.2018openalex-snapshot
Can Serial Dependencies in Choices and Neural Activity Explain Choice Probabilities?
inferredcites →https://doi.org/10.1523/jneurosci.2340-13.2014openalex-snapshot
Decision-Related Activity in Sensory Neurons May Depend on the Columnar Architecture of Cerebral Cortex
inferredcites →https://doi.org/10.1523/jneurosci.2539-11.2011openalex-snapshot
The Effect of Noise Correlations in Populations of Diversely Tuned Neurons
inferredcites →https://doi.org/10.1523/jneurosci.3825-12.2013openalex-snapshot
Top-Down Modulation of Lateral Interactions in Visual Cortex
inferredcites →https://doi.org/10.48550/arxiv.1401.4082openalex-snapshot
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
inferredcites →https://doi.org/10.48550/arxiv.1605.06544openalex-snapshot
Inference by Reparameterization in Neural Population Codes
inferredcites →https://doi.org/10.48550/arxiv.1805.11051openalex-snapshot
Flexible and accurate inference and learning for deep generative models
inferredcites →https://doi.org/10.48550/arxiv.1811.09739openalex-snapshot
A probabilistic population code based on neural samples
inferredcites →https://doi.org/10.7554/elife.08998openalex-snapshot
Attention stabilizes the shared gain of V4 populations
inferredcites →https://doi.org/10.7554/elife.08998.022openalex-snapshot
Author response: Attention stabilizes the shared gain of V4 populations
inferredcites →https://doi.org/10.7554/elife.12248openalex-snapshot
RETRACTED: A mathematical model explains saturating axon guidance responses to molecular gradients

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-57353-8_17openalex-snapshot
Information Flow, Representation, and Awareness
inferred← citeshttps://doi.org/10.1016/j.conb.2019.09.002openalex-snapshot
Noise correlations and perceptual inference
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/10.1038/s41593-018-0089-1openalex-snapshot
Feedback determines the structure of correlated variability in primary visual cortex
inferred← citeshttps://doi.org/10.1038/s41593-021-00809-5openalex-snapshot
Synaptic plasticity as Bayesian inference
inferred← citeshttps://doi.org/10.1101/086256openalex-snapshot
Feedback Determines the Structure of Correlated Variability in Primary Visual Cortex
inferred← citeshttps://doi.org/10.1101/238774openalex-snapshot
Stimulus content shapes cortical response statistics
inferred← citeshttps://doi.org/10.7554/elife.54858openalex-snapshot
Stimulus-dependent relationships between behavioral choice and sensory neural responses
inferred← citeshttps://doi.org/10.7554/elife.54858.sa2openalex-snapshot
Author response: Stimulus-dependent relationships between behavioral choice and sensory neural responses
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