`minimalboxplot`

Create minimal boxplots as described in Tufte (2001) p.125.
[Github ] |

`asmap`

Lightweight method for loading in various filetypes as map in Go. To use, install via `go get github.com/w-decker/asmap@latest` .
[GitHub ] |

`olsgo`

Ordinary-least-squares bivariate regression in Go. Lightweight and intuitive modular functions for step-wise approach or one-time function to run regression. Offers simple CSV reading (as map) and some default plotting options (raw data and model). To use, install via `go get github.com/w-decker/olsgo@latest` .
[Github ] |

Getting recently added items from a Zotero library. Still in progress; this is a locally executable demo.
[GitHub ] |

`roipy`

Plotting brain regions of interest (ROI) for demonstration purposes in Python. Wrapped around `Nilearn` .
[PyPi ] |

Execution of static functional connectivity analyses with `nilearn` to scaffold later pipelines. Equipped with custom module, `sfc_demo` , which contains different functionality for easily demonstrating static functional connectivity analyses.
[GitHub ] |

LaTeX and Overleaf are great resources for (collaboratively) writing documents with ease. There are a million tutorials on YouTube. I recommend checking out Dr. Trefor Bazett. Nonetheless, I have provided a template which follows APA criteria.
[GitHub ] |

Object oriented programming (OOP) is an interesting way of coding and is difficult compared to the canonical “procedural” way of programming. Here, I provide only an introductory explanation of OOP with Python. Thus, this learning tool is aptly named “POOP”.
[GitHub ] |

R functions for computing some fun components to multiple regression models. Clicking the plot above will take you to the GitHub repo. To install `mrc` in R, type `devtools::install_github("w-decker/mrc")` in the R console.
[GitHub ] |

The Izhikevich Model, developed in 2003, allows us to quantify the dynamic nature of neuronal circutry. Here, I provide an introduction to the mathematical models behind neuronal activity and using this to understand brain stimulation.
[GitHub ] |

What is a Hidden Markov Model (HMM)? How is it used in cognitive neuroscience? Here I provide an understanding of the concepts underlying HMMs, HMMs in general, and relevant literature that makes use of Markovian processes.
[Website ] |

MATLAB is a powerful and widely used tool in cognitive neuroscience and building custom functions is important to optimizing your code. Here, I provide an understanding of building functions ranging in complexities.
[Website ] |