The sliding window correlation procedure for detecting hidden correlations: existence of behavioral subgroups illustrated with aged rats.
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Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain statesDangers and uses of cross-correlation in analyzing time series in perception, performance, movement, and neuroscience: The importance of constructing transfer function autoregressive models.Cluster-based analysis for characterizing dynamic functional connectivity.Behavioural parameters in aged rats are related to LTP and gene expression of ChAT and NMDA-NR2 subunits in the striatum.Water maze performance, exploratory activity, inhibitory avoidance and hippocampal plasticity in aged superior and inferior learners.
P2860
The sliding window correlation procedure for detecting hidden correlations: existence of behavioral subgroups illustrated with aged rats.
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2002 nî lūn-bûn
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2002年の論文
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2002年論文
@yue
2002年論文
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2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
2002年论文
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2002年论文
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name
The sliding window correlation ...... ps illustrated with aged rats.
@en
The sliding window correlation ...... ps illustrated with aged rats.
@nl
type
label
The sliding window correlation ...... ps illustrated with aged rats.
@en
The sliding window correlation ...... ps illustrated with aged rats.
@nl
prefLabel
The sliding window correlation ...... ps illustrated with aged rats.
@en
The sliding window correlation ...... ps illustrated with aged rats.
@nl
P1476
The sliding window correlation ...... ps illustrated with aged rats.
@en
P2093
Daniela Schulz
Joseph P Huston
P304
P356
10.1016/S0165-0270(02)00224-8
P577
2002-12-01T00:00:00Z