Modeling higher-order correlations within cortical microcolumns. - Wikidata - awgldk - TriplyDB

Modeling higher-order correlations within cortical microcolumns.

Modeling higher-order correlations within cortical microcolumns.

http://www.wikidata.org/entity/Q31172256

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The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data.Simultaneous silence organizes structured higher-order interactions in neural populations Triplet correlations among similarly tuned cells impact population coding Interplay between Graph Topology and Correlations of Third Order in Spiking Neuronal Networks.Error-Robust Modes of the Retinal Population Code.Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations.Revealing unobserved factors underlying cortical activity with a rectified latent variable model applied to neural population recordings.Probabilistic models for neural populations that naturally capture global coupling and criticality.Input nonlinearities can shape beyond-pairwise correlations and improve information transmission by neural populations.Curvature of dendritic nonlinearities modulates higher-order spiking correlations.Advanced mean-field theory of the restricted Boltzmann machine.Functional coupling networks inferred from prefrontal cortex activity show experience-related effective plasticity.

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Modeling higher-order correlations within cortical microcolumns.

http://www.wikidata.org/entity/Q31172256

description

2014 nî lūn-bûn

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2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի հուլիսին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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name

Modeling higher-order correlations within cortical microcolumns.

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Modeling higher-order correlations within cortical microcolumns.

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Modeling higher-order correlations within cortical microcolumns.

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Modeling higher-order correlations within cortical microcolumns.

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Modeling higher-order correlations within cortical microcolumns.

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Modeling higher-order correlations within cortical microcolumns.

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JOURNAL.PCBI.1003684

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PLOS Computational Biology

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Modeling higher-order correlations within cortical microcolumns.

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Bruno A Olshausen

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Charles M Gray

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Jascha Sohl-Dickstein

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Urs Köster

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A small world of neuronal synchrony

Weak pairwise correlations imply strongly correlated network states in a neural population

Tetrodes markedly improve the reliability and yield of multiple single-unit isolation from multi-unit recordings in cat striate cortex

Optogenetic activation of an inhibitory network enhances feedforward functional connectivity in auditory cortex.

Sparse low-order interaction network underlies a highly correlated and learnable neural population code

Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes

Training products of experts by minimizing contrastive divergence.

The Ising decoder: reading out the activity of large neural ensembles.

Information-geometric measure of 3-neuron firing patterns characterizes scale-dependence in cortical networks

Stimulus-dependent maximum entropy models of neural population codes.

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e1003684

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scholarly article

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10.1371/JOURNAL.PCBI.1003684

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7

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2014-07-03T00:00:00Z

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263705764

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24991969

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4081002

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