A rate and history-preserving resampling algorithm for neural spike trains
about
Conditional modeling and the jitter method of spike resampling.Temporal accuracy of human cortico-cortical interactions.Data-driven significance estimation for precise spike correlationNeuronal ensemble synchrony during human focal seizures.The structure of pairwise correlation in mouse primary visual cortex reveals functional organization in the absence of an orientation mapSelf-generated movements with "unexpected" sensory consequences.REM sleep twitches rouse nascent cerebellar circuits: Implications for sensorimotor developmentAmbiguity and nonidentifiability in the statistical analysis of neural codes.Sensorimotor processing in the newborn rat red nucleus during active sleepSpatiotemporal conditional inference and hypothesis tests for neural ensemble spiking precisionTwitch-related and rhythmic activation of the developing cerebellar cortex.Gating of reafference in the external cuneate nucleus during self-generated movements in wake but not sleepEfficient identification of assembly neurons within massively parallel spike trains.Natural Firing Patterns Imply Low Sensitivity of Synaptic Plasticity to Spike Timing Compared with Firing Rate.Detection of dependence patterns with delay.Spontaneous activity and functional connectivity in the developing cerebellorubral system.Detecting multineuronal temporal patterns in parallel spike trains.Periodicity and evoked responses in motor cortex.A framework for evaluating pairwise and multiway synchrony among stimulus-driven neurons.Surrogate spike train generation through dithering in operational time.Accelerated spike resampling for accurate multiple testing controls.An L₁-regularized logistic model for detecting short-term neuronal interactions.Impact of spike train autostructure on probability distribution of joint spike events.Wakefulness suppresses retinal wave-related neural activity in visual cortex.Theta Oscillations during Active Sleep Synchronize the Developing Rubro-Hippocampal Sensorimotor Network.Spike-Centered Jitter Can Mistake Temporal Structure.Single-snippet analysis for detection of postspike effects.Conditional probability-based significance tests for sequential patterns in multineuronal spike trains.
P2860
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P2860
A rate and history-preserving resampling algorithm for neural spike trains
description
2009 nî lūn-bûn
@nan
2009 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
A rate and history-preserving resampling algorithm for neural spike trains
@ast
A rate and history-preserving resampling algorithm for neural spike trains
@en
A rate and history-preserving resampling algorithm for neural spike trains
@nl
type
label
A rate and history-preserving resampling algorithm for neural spike trains
@ast
A rate and history-preserving resampling algorithm for neural spike trains
@en
A rate and history-preserving resampling algorithm for neural spike trains
@nl
prefLabel
A rate and history-preserving resampling algorithm for neural spike trains
@ast
A rate and history-preserving resampling algorithm for neural spike trains
@en
A rate and history-preserving resampling algorithm for neural spike trains
@nl
P2860
P1433
P1476
A rate and history-preserving resampling algorithm for neural spike trains
@en
P2093
Matthew T Harrison
Stuart Geman
P2860
P304
P356
10.1162/NECO.2008.03-08-730
P577
2009-05-01T00:00:00Z