neuro: Neurophysiological Point Process Data
In boot: Bootstrap Functions (Originally by Angelo Canty for S)
neuro R Documentation
Neurophysiological Point Process Data
Description
neuro is a matrix containing times of observed firing of a neuron in windows
of 250ms either side of the application of a stimulus to a human subject.
Each row of the matrix is a replication of the experiment and there were a
total of 469 replicates.
Note
There are a lot of missing values in the matrix as different numbers of
firings
were observed in different replicates. The number of firings observed varied
from 2 to 6.
Source
The data were collected and kindly made available by Dr. S.J. Boniface of the
Neurophysiology Unit at the Radcliffe Infirmary, Oxford.
References
Davison, A.C. and Hinkley, D.V. (1997)
Bootstrap Methods and Their Application. Cambridge University Press.
Ventura, V., Davison, A.C. and Boniface, S.J. (1997) A stochastic model for
the effect of magnetic brain stimulation on a motorneurone. To appear in
Applied Statistics.
boot documentation built on Sept. 11, 2024, 6:15 p.m.
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| neuro | R Documentation |
Neurophysiological Point Process Data
Description
neuro is a matrix containing times of observed firing of a neuron in windows
of 250ms either side of the application of a stimulus to a human subject.
Each row of the matrix is a replication of the experiment and there were a
total of 469 replicates.
Note
There are a lot of missing values in the matrix as different numbers of firings were observed in different replicates. The number of firings observed varied from 2 to 6.
Source
The data were collected and kindly made available by Dr. S.J. Boniface of the Neurophysiology Unit at the Radcliffe Infirmary, Oxford.
References
Davison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application. Cambridge University Press.
Ventura, V., Davison, A.C. and Boniface, S.J. (1997) A stochastic model for the effect of magnetic brain stimulation on a motorneurone. To appear in Applied Statistics.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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