# R Dataset / Package boot / paulsen

Documentation

On this R-data statistics page, you will find information about the paulsen data set which pertains to Neurotransmission in Guinea Pig Brains. The paulsen data set is found in the boot R package. You can load the paulsen data set in R by issuing the following command at the console data("paulsen"). This will load the data into a variable called paulsen. If R says the paulsen data set is not found, you can try installing the package by issuing this command install.packages("boot") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the paulsen R data set. The size of this file is about 1,448 bytes.

## Neurotransmission in Guinea Pig Brains

### Description

The paulsen data frame has 346 rows and 1 columns.

Sections were prepared from the brain of adult guinea pigs. Spontaneous currents that flowed into individual brain cells were then recorded and the peak amplitude of each current measured. The aim of the experiment was to see if the current flow was quantal in nature (i.e. that it is not a single burst but instead is built up of many smaller bursts of current). If the current was indeed quantal then it would be expected that the distribution of the current amplitude would be multimodal with modes at regular intervals. The modes would be expected to decrease in magnitude for higher current amplitudes.

### Usage

paulsen


### Format

This data frame contains the following column:

y

The current flowing into individual brain cells. The currents are measured in pico-amperes.

### Source

The data were kindly made available by Dr. O. Paulsen from the Department of Pharmacology at the University of Oxford.

Paulsen, O. and Heggelund, P. (1994) The quantal size at retinogeniculate synapses determined from spontaneous and evoked EPSCs in guinea-pig thalamic slices. Journal of Physiology, 480, 505–511.

### References

Davison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application. Cambridge University Press.

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Dataset imported from https://www.r-project.org.

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Attachment Size
dataset-68181.csv 1.41 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0