about
Erythropoietin enhances hippocampal long-term potentiation and memoryA Granger causality measure for point process models of ensemble neural spiking activityThe BRAIN Initiative: developing technology to catalyse neuroscience discovery.Closed-loop and activity-guided optogenetic controlNeurotech for neuroscience: unifying concepts, organizing principles, and emerging toolsUnderstanding the neurophysiological basis of auditory abilities for social communication: a perspective on the value of ethological paradigms.Opposite effects of stimulant and antipsychotic drugs on striatal fast-spiking interneuronsDatabase-managed grid-enabled analysis of neuroimaging data: the CNARI frameworkState-space analysis of time-varying higher-order spike correlation for multiple neural spike train dataStatistical Inference: The Big Picture.Gibbs distribution analysis of temporal correlations structure in retina ganglion cells.System identification of Drosophila olfactory sensory neurons.Variability measures of positive random variables.Data-driven significance estimation for precise spike correlationTime series analysis of hybrid neurophysiological data and application of mutual information.A new look at state-space models for neural data.A tensor-product-kernel framework for multiscale neural activity decoding and controlHierarchical Bayesian modeling and Markov chain Monte Carlo sampling for tuning-curve analysis.Statistical inference for assessing functional connectivity of neuronal ensembles with sparse spiking data.Investigating the impact of electrical stimulation temporal distribution on cortical network responsesHow advances in neural recording affect data analysisComparison of two populations of curves with an application in neuronal data analysis.Neuronal spike train analysis in likelihood space.Latent inputs improve estimates of neural encoding in motor cortex.Serotonergic neurons signal reward and punishment on multiple timescales.Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?Applying the multivariate time-rescaling theorem to neural population models.ASSESSMENT OF SYNCHRONY IN MULTIPLE NEURAL SPIKE TRAINS USING LOGLINEAR POINT PROCESS MODELS.A semiparametric Bayesian model for detecting synchrony among multiple neurons.Quantification and classification of neuronal responses in kernel-smoothed peristimulus time histogramsTo sort or not to sort: the impact of spike-sorting on neural decoding performance.SPIKY: a graphical user interface for monitoring spike train synchrony.The Bayesian Decoding of Force Stimuli from Slowly Adapting Type I Fibers in Humans.Second-order receptive fields reveal multidigit interactions in area 3b of the macaque monkeyRetinal prosthetic strategy with the capacity to restore normal visionMonosynaptic functional connectivity in cerebral cortex during wakefulness and under graded levels of anesthesia.A point-process response model for spike trains from single neurons in neural circuits under optogenetic stimulation.The Behavioral Relevance of Cortical Neural Ensemble Responses Emerges Suddenly.Analysis of between-trial and within-trial neural spiking dynamics.Eye-position signals in the dorsal visual system are accurate and precise on short timescales.
P2860
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P2860
description
2005 nî lūn-bûn
@nan
2005 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Statistical issues in the analysis of neuronal data.
@ast
Statistical issues in the analysis of neuronal data.
@en
type
label
Statistical issues in the analysis of neuronal data.
@ast
Statistical issues in the analysis of neuronal data.
@en
prefLabel
Statistical issues in the analysis of neuronal data.
@ast
Statistical issues in the analysis of neuronal data.
@en
P2860
P356
P1476
Statistical issues in the analysis of neuronal data.
@en
P2093
Emery N Brown
Robert E Kass
P2860
P356
10.1152/JN.00648.2004
P407
P577
2005-07-01T00:00:00Z