A maximum entropy model applied to spatial and temporal correlations from cortical networks in vitro. - Wikidata - awgldk - TriplyDB

A maximum entropy model applied to spatial and temporal correlations from cortical networks in vitro.

A maximum entropy model applied to spatial and temporal correlations from cortical networks in vitro.

http://www.wikidata.org/entity/Q34734403

about

A small world of neuronal synchrony Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability Models Information theoretic approaches to understanding circuit function Efficient network reconstruction from dynamical cascades identifies small-world topology of neuronal avalanches A few strong connections: optimizing information retention in neuronal avalanches State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data Optogenetic activation of an inhibitory network enhances feedforward functional connectivity in auditory cortex.Columnar connectivity and laminar processing in cat primary auditory cortex.A toolbox for the fast information analysis of multiple-site LFP, EEG and spike train recordings.Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods.Circuit topology for synchronizing neurons in spontaneously active networks Sparse low-order interaction network underlies a highly correlated and learnable neural population code Being critical of criticality in the brain.Gibbs distribution analysis of temporal correlations structure in retina ganglion cells.Impact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model.Thermodynamics and signatures of criticality in a network of neurons.The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data.Python for information theoretic analysis of neural data Ising model for neural data: model quality and approximate methods for extracting functional connectivity.Correlations between prefrontal neurons form a small-world network that optimizes the generation of multineuron sequences of activity Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes Maximally informative pairwise interactions in networks Social interactions dominate speed control in poising natural flocks near criticality.Open source tools for the information theoretic analysis of neural data Energy landscape analysis of neuroimaging data.Synergistic Coding by Cortical Neural Ensembles.Maximum entropy models for antibody diversity Minimal models of multidimensional computations.Large-scale, high-resolution multielectrode-array recording depicts functional network differences of cortical and hippocampal cultures Optimal population coding by noisy spiking neurons Extending transfer entropy improves identification of effective connectivity in a spiking cortical network model.Energy landscape and dynamics of brain activity during human bistable perception.Information-geometric measure of 3-neuron firing patterns characterizes scale-dependence in cortical networks Functional Clusters, Hubs, and Communities in the Cortical Microconnectome.Multiplex networks of cortical and hippocampal neurons revealed at different timescales Temporal precision in population-but not individual neuron-dynamics reveals rapid experience-dependent plasticity in the rat barrel cortex.Hierarchical interaction structure of neural activities in cortical slice cultures.Joint modeling of multiple social networks to elucidate primate social dynamics: I. maximum entropy principle and network-based interactions.Stimulus-dependent maximum entropy models of neural population codes.Genotype to phenotype mapping and the fitness landscape of the E. coli lac promoter.

P2860

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P2860

A maximum entropy model applied to spatial and temporal correlations from cortical networks in vitro.

http://www.wikidata.org/entity/Q34734403

description

2008 nî lūn-bûn

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2008 թուականի Յունուարին հրատարակուած գիտական յօդուած

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2008 թվականի հունվարին հրատարակված գիտական հոդված

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2008年の論文

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2008年論文

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2008年論文

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2008年論文

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2008年論文

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2008年论文

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A maximum entropy model applie ...... om cortical networks in vitro.

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A maximum entropy model applie ...... om cortical networks in vitro.

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A maximum entropy model applie ...... om cortical networks in vitro.

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A maximum entropy model applie ...... om cortical networks in vitro.

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A maximum entropy model applie ...... om cortical networks in vitro.

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A maximum entropy model applie ...... om cortical networks in vitro.

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A maximum entropy model applie ...... om cortical networks in vitro.

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JNEUROSCI.3359-07.2008

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Journal of Neuroscience

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A maximum entropy model applie ...... rom cortical networks in vitro

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P2093

Alan M Litke

http://www.w3.org/2001/XMLSchema#string

Alexander Sher

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Anita Prieto

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Aonan Tang

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David Jackson

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Dumitru Petrusca

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Hema Patel

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Jodi L Smith

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John M Beggs

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Jon Hobbs

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505-518

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scholarly article

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10.1523/JNEUROSCI.3359-07.2008

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2

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2008-01-01T00:00:00Z

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18184793

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6670549

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