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Learning and attention reveal a general relationship between neuronal variability and perception

https://doi.org/10.1101/137083
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What this work says

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

inferredcites →https://doi.org/10.1016/j.conb.2016.01.009openalex-snapshot
Feedforward and feedback sources of choice probability in neural population responses
inferredcites →https://doi.org/10.1016/j.cub.2010.02.065openalex-snapshot
Microstimulation Reveals Limits in Detecting Different Signals from a Local Cortical Region
inferredcites →https://doi.org/10.1016/j.neuron.2007.12.011openalex-snapshot
Learning to Link Visual Contours
inferredcites →https://doi.org/10.1016/j.neuron.2009.09.013openalex-snapshot
Spatial Attention Decorrelates Intrinsic Activity Fluctuations in Macaque Area V4
inferredcites →https://doi.org/10.1016/j.neuron.2011.04.029openalex-snapshot
Using Neuronal Populations to Study the Mechanisms Underlying Spatial and Feature Attention
inferredcites →https://doi.org/10.1016/j.neuron.2011.06.015openalex-snapshot
Perceptual Learning Reduces Interneuronal Correlations in Macaque Visual Cortex
inferredcites →https://doi.org/10.1016/j.neuron.2013.02.023openalex-snapshot
Associative Learning Enhances Population Coding by Inverting Interneuronal Correlation Patterns
inferredcites →https://doi.org/10.1016/j.neuron.2015.06.033openalex-snapshot
How Can Single Sensory Neurons Predict Behavior?
inferredcites →https://doi.org/10.1016/j.visres.2010.10.019openalex-snapshot
Perceptual learning in Vision Research
inferredcites →https://doi.org/10.1037//1082-989x.1.2.178openalex-snapshot
Comparing correlated but nonoverlapping correlations.
inferredcites →https://doi.org/10.1038/35087601openalex-snapshot
Practising orientation identification improves orientation coding in V1 neurons
inferredcites →https://doi.org/10.1038/87470openalex-snapshot
Learning to see: experience and attention in primary visual cortex
inferredcites →https://doi.org/10.1038/nature07821openalex-snapshot
Decision-related activity in sensory neurons reflects more than a neuron’s causal effect
inferredcites →https://doi.org/10.1038/nn.2439openalex-snapshot
Attention improves performance primarily by reducing interneuronal correlations
inferredcites →https://doi.org/10.1038/nn.2842openalex-snapshot
Measuring and interpreting neuronal correlations
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.3711openalex-snapshot
Partitioning neuronal variability
inferredcites →https://doi.org/10.1038/nn.3805openalex-snapshot
Perceptual training continuously refines neuronal population codes in primary visual cortex
inferredcites →https://doi.org/10.1038/nn.3807openalex-snapshot
Information-limiting correlations
inferredcites →https://doi.org/10.1038/nn.3835openalex-snapshot
Attention can either increase or decrease spike count correlations in visual cortex
inferredcites →https://doi.org/10.1038/nn.4356openalex-snapshot
Sensory and decision-related activity propagate in a cortical feedback loop during touch perception
inferredcites →https://doi.org/10.1038/nn1321openalex-snapshot
Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations
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/nrn1888openalex-snapshot
Neural correlations, population coding and computation
inferredcites →https://doi.org/10.1038/nrn2737openalex-snapshot
Advances in visual perceptual learning and plasticity
inferredcites →https://doi.org/10.1038/nrn3443openalex-snapshot
Attentional enhancement of spatial resolution: linking behavioural and neurophysiological evidence
inferredcites →https://doi.org/10.1146/annurev-neuro-062012-170249openalex-snapshot
Superior Colliculus and Visual Spatial Attention
inferredcites →https://doi.org/10.1146/annurev-neuro-070815-013851openalex-snapshot
Correlations and Neuronal Population Information
inferredcites →https://doi.org/10.1146/annurev-psych-010814-015214openalex-snapshot
Perceptual Learning: Toward a Comprehensive Theory
inferredcites →https://doi.org/10.1146/annurev-vision-082114-035431openalex-snapshot
Neuronal Mechanisms of Visual Attention
inferredcites →https://doi.org/10.1152/jn.00690.2001openalex-snapshot
Physiological Correlates of Perceptual Learning in Monkey V1 and V2
inferredcites →https://doi.org/10.1162/neco.2006.18.8.1951openalex-snapshot
Implications of Neuronal Diversity on Population Coding
inferredcites →https://doi.org/10.1371/journal.pcbi.1006371openalex-snapshot
Inferring decoding strategies for multiple correlated neural populations
inferredcites →https://doi.org/10.1523/jneurosci.0457-06.2006openalex-snapshot
Learning to See the Difference Specifically Alters the Most Informative V4 Neurons
inferredcites →https://doi.org/10.1523/jneurosci.0610-16.2016openalex-snapshot
Attention Increases Spike Count Correlations between Visual Cortical Areas
inferredcites →https://doi.org/10.1523/jneurosci.2044-15.2016openalex-snapshot
On the Structure of Neuronal Population Activity under Fluctuations in Attentional State
inferredcites →https://doi.org/10.1523/jneurosci.2445-16.2016openalex-snapshot
Decision-Related Activity in Macaque V2 for Fine Disparity Discrimination Is Not Compatible with Optimal Linear Readout
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.2750-14.2014openalex-snapshot
Global Cognitive Factors Modulate Correlated Response Variability between V4 Neurons
inferredcites →https://doi.org/10.1523/jneurosci.4442-03.2004openalex-snapshot
The Effect of Perceptual Learning on Neuronal Responses in Monkey Visual Area V4
inferredcites →https://doi.org/10.7554/elife.08998openalex-snapshot
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.cub.2019.03.065openalex-snapshot
Local and Global Influences of Visual Spatial Selection and Locomotion in Mouse Primary Visual Cortex
inferred← citeshttps://doi.org/10.1038/s41467-023-43432-7openalex-snapshot
Targeted V1 comodulation supports task-adaptive sensory decisions
inferred← citeshttps://doi.org/10.1101/114439openalex-snapshot
Characterizing and interpreting the influence of internal variables on sensory activity
inferred← citeshttps://doi.org/10.1101/229856openalex-snapshot
Behavior Variability of a Conditional Gene Knockout Mouse as a Measure of Subtle Phenotypic Trait Expression. The Case of Mouse Executive Function Distortion
inferred← citeshttps://doi.org/10.1101/624387openalex-snapshot
Flexible and accurate decoding of neural populations through stochastic comodulation
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1009557openalex-snapshot
Task-induced neural covariability as a signature of approximate Bayesian learning and inference
inferred← citeshttps://doi.org/10.1523/jneurosci.0076-19.2019openalex-snapshot
Contribution of Sensory Encoding to Measured Bias
inferred← citeshttps://doi.org/10.7554/elife.63436openalex-snapshot
Optimal policy for attention-modulated decisions explains human fixation behavior
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