Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models.
about
EEG functional connectivity is partially predicted by underlying white matter connectivity.A point process approach to identifying and tracking transitions in neural spiking dynamics in the subthalamic nucleus of Parkinson's patients.Assessment of cross-frequency coupling with confidence using generalized linear models.Inferring oscillatory modulation in neural spike trains.
P2860
Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models.
description
2012 nî lūn-bûn
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2012年の論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
@zh-tw
2012年论文
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2012年论文
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name
Characterizing the spiking dyn ...... ing generalized linear models.
@ast
Characterizing the spiking dyn ...... ing generalized linear models.
@en
type
label
Characterizing the spiking dyn ...... ing generalized linear models.
@ast
Characterizing the spiking dyn ...... ing generalized linear models.
@en
prefLabel
Characterizing the spiking dyn ...... ing generalized linear models.
@ast
Characterizing the spiking dyn ...... ing generalized linear models.
@en
P2093
P2860
P356
P1476
Characterizing the spiking dyn ...... ing generalized linear models.
@en
P2093
Emad N Eskandar
John T Gale
Ramin Amirnovin
Uri T Eden
P2860
P356
10.3389/FNINT.2012.00028
P577
2012-06-20T00:00:00Z