Searching for significance in spatio-temporal firing patterns.
about
Conditional modeling and the jitter method of spike resampling.Chaos game representation of human pallidal spike trains.Testing a neural coding hypothesis using surrogate dataData-driven significance estimation for precise spike correlationA rate and history-preserving resampling algorithm for neural spike trainsDetecting synfire chain activity using massively parallel spike train recording.Finding neural assemblies with frequent item set mining.Detecting multineuronal temporal patterns in parallel spike trains.A compositionality machine realized by a hierarchic architecture of synfire chains.Surrogate spike train generation through dithering in operational time.Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models.Quantifying neural coding of event timing.Spike-Centered Jitter Can Mistake Temporal Structure.
P2860
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P2860
Searching for significance in spatio-temporal firing patterns.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Searching for significance in spatio-temporal firing patterns.
@ast
Searching for significance in spatio-temporal firing patterns.
@en
type
label
Searching for significance in spatio-temporal firing patterns.
@ast
Searching for significance in spatio-temporal firing patterns.
@en
prefLabel
Searching for significance in spatio-temporal firing patterns.
@ast
Searching for significance in spatio-temporal firing patterns.
@en
P1476
Searching for significance in spatio-temporal firing patterns.
@en
P2093
George L Gerstein
P304
P577
2004-01-01T00:00:00Z