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Characterizing the nonlinear structure of shared variability in cortical neuron populations using latent variable models

https://doi.org/10.1101/407858
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What this work says

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

inferredcites →https://doi.org/10.1007/bf00275002openalex-snapshot
The response variability of striate cortical neurons in the behaving monkey
inferredcites →https://doi.org/10.1007/s10827-010-0257-0openalex-snapshot
Information-geometric measure of 3-neuron firing patterns characterizes scale-dependence in cortical networks
inferredcites →https://doi.org/10.1016/0042-6989(83)90200-6openalex-snapshot
The statistical reliability of signals in single neurons in cat and monkey visual cortex
inferredcites →https://doi.org/10.1016/0893-6080(91)90009-topenalex-snapshot
Approximation capabilities of multilayer feedforward networks
inferredcites →https://doi.org/10.1016/j.conb.2018.04.007openalex-snapshot
Neural data science: accelerating the experiment-analysis-theory cycle in large-scale neuroscience
inferredcites →https://doi.org/10.1016/j.cub.2014.05.049openalex-snapshot
Dynamics of Neural Population Responses in Prefrontal Cortex Indicate Changes of Mind on Single Trials
inferredcites →https://doi.org/10.1016/j.neuron.2014.02.006openalex-snapshot
State Dependence of Noise Correlations in Macaque Primary Visual Cortex
inferredcites →https://doi.org/10.1016/j.neuron.2015.02.014openalex-snapshot
Natural Grouping of Neural Responses Reveals Spatially Segregated Clusters in Prearcuate Cortex
inferredcites →https://doi.org/10.1016/j.neuron.2015.06.035openalex-snapshot
The Nature of Shared Cortical Variability
inferredcites →https://doi.org/10.1016/j.neuron.2016.01.044openalex-snapshot
Multiplicative and Additive Modulation of Neuronal Tuning with Population Activity Affects Encoded Information
inferredcites →https://doi.org/10.1038/370140a0openalex-snapshot
Correlated neuronal discharge rate and its implications for psychophysical performance
inferredcites →https://doi.org/10.1038/nature09178openalex-snapshot
Sparse coding and high-order correlations in fine-scale cortical networks
inferredcites →https://doi.org/10.1038/nature11057openalex-snapshot
Brain-wide neuronal dynamics during motor adaptation in zebrafish
inferredcites →https://doi.org/10.1038/nature11129openalex-snapshot
Neural population dynamics during reaching
inferredcites →https://doi.org/10.1038/nature14273openalex-snapshot
Diverse coupling of neurons to populations in sensory cortex
inferredcites →https://doi.org/10.1038/nn.2842openalex-snapshot
Measuring and interpreting neuronal correlations
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
inferredcites →https://doi.org/10.1038/nrn2258openalex-snapshot
Noise in the nervous system
inferredcites →https://doi.org/10.1038/s41592-018-0109-9openalex-snapshot
Inferring single-trial neural population dynamics using sequential auto-encoders
inferredcites →https://doi.org/10.1088/0954-898x/15/4/002openalex-snapshot
Maximum likelihood estimation of cascade point-process neural encoding models
inferredcites →https://doi.org/10.1101/306019openalex-snapshot
Spontaneous behaviors drive multidimensional, brain-wide activity
inferredcites →https://doi.org/10.1126/science.273.5283.1868openalex-snapshot
Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses
inferredcites →https://doi.org/10.1146/annurev-neuro-070815-013851openalex-snapshot
Correlations and Neuronal Population Information
inferredcites →https://doi.org/10.1152/jn.00698.2016openalex-snapshot
Revealing unobserved factors underlying cortical activity with a rectified latent variable model applied to neural population recordings
inferredcites →https://doi.org/10.1152/jn.90941.2008openalex-snapshot
Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity
inferredcites →https://doi.org/10.1167/16.12.876openalex-snapshot
A deep convolutional energy model of V4 responses to natural movies
inferredcites →https://doi.org/10.1371/journal.pcbi.1003143openalex-snapshot
Inferring Nonlinear Neuronal Computation Based on Physiologically Plausible Inputs
inferredcites →https://doi.org/10.1371/journal.pcbi.1003684openalex-snapshot
Modeling Higher-Order Correlations within Cortical Microcolumns
inferredcites →https://doi.org/10.1371/journal.pcbi.1004927openalex-snapshot
Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes
inferredcites →https://doi.org/10.1371/journal.pcbi.1006897openalex-snapshot
Deep convolutional models improve predictions of macaque V1 responses to natural images
inferredcites →https://doi.org/10.1523/jneurosci.2929-08.2008openalex-snapshot
Spatial and Temporal Scales of Neuronal Correlation in Primary Visual Cortex
inferredcites →https://doi.org/10.1523/jneurosci.3127-11.2011openalex-snapshot
Higher-Order Interactions Characterized in Cortical Activity
inferredcites →https://doi.org/10.1523/jneurosci.3318-14.2015openalex-snapshot
State-Dependent Population Coding in Primary Auditory Cortex
inferredcites →https://doi.org/10.1523/jneurosci.4994-13.2015openalex-snapshot
Cortical State Determines Global Variability and Correlations in Visual Cortex
inferredcites →https://doi.org/10.48550/arxiv.1605.08454openalex-snapshot
Linear dynamical neural population models through nonlinear embeddings
inferredcites →https://doi.org/10.6080/k0nc5z4xopenalex-snapshot
Utah array extracellular recordings of spontaneous and visually evoked activity from anesthetized macaque primary visual cortex (V1).
inferredcites →https://doi.org/10.7554/elife.08998openalex-snapshot
Attention stabilizes the shared gain of V4 populations
inferredcites →https://doi.org/10.7554/elife.10989openalex-snapshot
Demixed principal component analysis of neural population data

What points at this work

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

inferred← citeshttps://doi.org/10.1038/s41467-023-37982-zopenalex-snapshot
Unsupervised approach to decomposing neural tuning variability
inferred← citeshttps://doi.org/10.1101/2020.01.06.896423openalex-snapshot
A latent variable approach to decoding neural population activity
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1011667openalex-snapshot
Modeling the diverse effects of divisive normalization on noise correlations
inferred← citeshttps://doi.org/10.3390/s24092820openalex-snapshot
Rectified Latent Variable Model-Based EMG Factorization of Inhibitory Muscle Synergy Components Related to Aging, Expertise and Force–Tempo Variations
inferred← citeshttps://doi.org/10.70675/8753410dze43dz4436z95a8z3797457c62a8openalex-snapshot
On the interpretation of higher-order principal components
inferred← citeshttps://doi.org/10.7554/elife.87736.1openalex-snapshot
Running modulates primate and rodent visual cortex differently
inferred← citeshttps://doi.org/10.7554/elife.87736.3openalex-snapshot
Running modulates primate and rodent visual cortex differently
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