Izh2004

CODE CHECK STATUS

CODE CHECK STATUS

Summary: OK

System notes:

## [1] "Linux 523f054d4ae4 4.4.0-1060-aws #69-Ubuntu SMP Sun May 20 13:42:07 UTC 2018 x86_64 GNU/Linux"

Date of execution

## [1] "Tue Jul 31 11:24:28 UTC 2018"

Introduction

The Izhikevich model is one of the simplest and yet most effective models of spiking neurons. In this reproducible certificate, we have reproduced Figure 1 of Izhikevich (2004). As there is no stochasticity in this system, the traces in each plot should match those from the original figure.

Summary of outputs generated

Key Output

Figure 1 of Izhikevich (2004) reproduced

Figure 1 of Izhikevich (2004) reproduced

Directory of outputs.

Dockerhub log

Docker transcript

docker_image = system("docker run -d --name road sje30/izh2004", intern=TRUE)
## Copy the docker outputs
opdir = paste(getwd(), "road", sep='/')
cmd = sprintf("docker cp road:/home/stephen/izh2004/codecheck/uname.txt %s", opdir)
system(cmd)
system(sprintf("docker cp road:/home/stephen/izh2004/codecheck/figure1.png %s", opdir))
system(sprintf("docker cp road:/home/stephen/izh2004/codecheck/date.txt %s", opdir))
## Close docker
cmd = sprintf("docker rm %s", docker_image)
system(cmd)

References

Izhikevich EM (2004) Which model to use for cortical spiking neurons? IEEE Trans Neural Netw 15:1063–1070 http://dx.doi.org/10.1109/TNN.2004.832719.