From 6b48353b9637452a4515713b03d547ac644668f9 Mon Sep 17 00:00:00 2001 From: jpivarski Date: Tue, 13 Aug 2024 12:40:57 -0400 Subject: [PATCH] initial commit from executablebooks/cookiecutter-jupyter-book --- .github/workflows/deploy.yml | 52 ++++++++ CONDUCT.md | 44 +++++++ CONTRIBUTING.md | 56 ++++++++ README.md | 33 ++++- array-oriented-programming/_config.yml | 37 ++++++ array-oriented-programming/_toc.yml | 9 ++ array-oriented-programming/content.md | 5 + array-oriented-programming/intro.md | 11 ++ array-oriented-programming/logo.png | Bin 0 -> 9854 bytes .../markdown-notebooks.md | 54 ++++++++ array-oriented-programming/markdown.md | 55 ++++++++ array-oriented-programming/notebooks.ipynb | 122 ++++++++++++++++++ array-oriented-programming/references.bib | 55 ++++++++ requirements.txt | 4 + 14 files changed, 535 insertions(+), 2 deletions(-) create mode 100644 .github/workflows/deploy.yml create mode 100644 CONDUCT.md create mode 100644 CONTRIBUTING.md create mode 100644 array-oriented-programming/_config.yml create mode 100644 array-oriented-programming/_toc.yml create mode 100644 array-oriented-programming/content.md create mode 100644 array-oriented-programming/intro.md create mode 100644 array-oriented-programming/logo.png create mode 100644 array-oriented-programming/markdown-notebooks.md create mode 100644 array-oriented-programming/markdown.md create mode 100644 array-oriented-programming/notebooks.ipynb create mode 100644 array-oriented-programming/references.bib create mode 100644 requirements.txt diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml new file mode 100644 index 0000000..b564c72 --- /dev/null +++ b/.github/workflows/deploy.yml @@ -0,0 +1,52 @@ +name: deploy-book + +on: + # Trigger the workflow on push to main branch + push: + branches: + - main + +env: + BASE_URL: /${{ github.event.repository.name }} + +# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued. +# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete. +concurrency: + group: "pages" + cancel-in-progress: false + +jobs: + deploy-book: + runs-on: ubuntu-latest + # Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages + permissions: + pages: write + id-token: write + steps: + - uses: actions/checkout@v3 + + # Install dependencies + - name: Set up Python 3.11 + uses: actions/setup-python@v4 + with: + python-version: 3.11 + + - name: Install dependencies + run: | + pip install -r requirements.txt + + # Build the book + - name: Build the book + run: | + jupyter-book build array-oriented-programming + + # Upload the book's HTML as an artifact + - name: Upload artifact + uses: actions/upload-pages-artifact@v2 + with: + path: "_build/html" + + # Deploy the book's HTML to GitHub Pages + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@v2 diff --git a/CONDUCT.md b/CONDUCT.md new file mode 100644 index 0000000..3f5562b --- /dev/null +++ b/CONDUCT.md @@ -0,0 +1,44 @@ + +# Code of Conduct + +## Our Pledge + +In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. + +## Our Standards + +Examples of behavior that contributes to creating a positive environment include: + +* Using welcoming and inclusive language +* Being respectful of differing viewpoints and experiences +* Gracefully accepting constructive criticism +* Focusing on what is best for the community +* Showing empathy towards other community members + +Examples of unacceptable behavior by participants include: + +* The use of sexualized language or imagery and unwelcome sexual attention or advances +* Trolling, insulting/derogatory comments, and personal or political attacks +* Public or private harassment +* Publishing others' private information, such as a physical or electronic address, without explicit permission +* Other conduct which could reasonably be considered inappropriate in a professional setting + +## Our Responsibilities + +Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior. + +Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful. + +## Scope + +This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team. The project team will review and investigate all complaints, and will respond in a way that it deems appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately. + +Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant, version 1.4](http://contributor-covenant.org/version/1/4). diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 0000000..67160f9 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,56 @@ +# Contributing + +Contributions are welcome, and they are greatly appreciated! Every little bit +helps, and credit will always be given. You can contribute in the ways listed below. + +## Report Bugs + +Report bugs using GitHub issues. + +If you are reporting a bug, please include: + +* Your operating system name and version. +* Any details about your local setup that might be helpful in troubleshooting. +* Detailed steps to reproduce the bug. + +## Fix Bugs + +Look through the GitHub issues for bugs. Anything tagged with "bug" and "help +wanted" is open to whoever wants to implement it. + +## Implement Features + +Look through the GitHub issues for features. Anything tagged with "enhancement" +and "help wanted" is open to whoever wants to implement it. + +## Write Documentation + +Array-oriented programming for data analysis could always use more documentation, whether as part of the +official Array-oriented programming for data analysis docs, in docstrings, or even on the web in blog posts, +articles, and such. + +## Submit Feedback + +The best way to send feedback is to file an issue on GitHub. + +If you are proposing a feature: + +* Explain in detail how it would work. +* Keep the scope as narrow as possible, to make it easier to implement. +* Remember that this is a volunteer-driven project, and that contributions + are welcome :) + +## Get Started + +Ready to contribute? Here's how to set up `Array-oriented programming for data analysis` for local development. + +1. Fork the repo on GitHub. +2. Clone your fork locally. +3. Install your local copy into a virtualenv, e.g., using `conda`. +4. Create a branch for local development and make changes locally. +5. Commit your changes and push your branch to GitHub. +6. Submit a pull request through the GitHub website. + +## Code of Conduct + +Please note that the Array-oriented programming for data analysis project is released with a [Contributor Code of Conduct](CONDUCT.md). By contributing to this project you agree to abide by its terms. diff --git a/README.md b/README.md index 1ab0b2c..bfad7bf 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,31 @@ -# array-oriented-programming -Material for teaching array-oriented programming for data analysis in NumPy and Awkward Array +# Array-oriented programming for data analysis + +Material for teaching array-oriented programming for data analysis in NumPy and Awkward Array. + +## Usage + +### Building the book + +If you'd like to develop and/or build the Array-oriented programming for data analysis book, you should: + +1. Clone this repository +2. Run `pip install -r requirements.txt` (it is recommended you do this within a virtual environment) +3. (Optional) Edit the books source files located in the `array-oriented-programming/` directory +4. Run `jupyter-book clean array-oriented-programming/` to remove any existing builds +5. Run `jupyter-book build array-oriented-programming/` + +A fully-rendered HTML version of the book will be built in `array-oriented-programming/_build/html/`. + +### Hosting the book + +Please see the [Jupyter Book documentation](https://jupyterbook.org/publish/web.html) to discover options for deploying a book online using services such as GitHub, GitLab, or Netlify. + +For GitHub and GitLab deployment specifically, the [cookiecutter-jupyter-book](https://github.com/executablebooks/cookiecutter-jupyter-book) includes templates for, and information about, optional continuous integration (CI) workflow files to help easily and automatically deploy books online with GitHub or GitLab. For example, if you chose `github` for the `include_ci` cookiecutter option, your book template was created with a GitHub actions workflow file that, once pushed to GitHub, automatically renders and pushes your book to the `gh-pages` branch of your repo and hosts it on GitHub Pages when a push or pull request is made to the main branch. + +## Contributors + +We welcome and recognize all contributions. You can see a list of current contributors in the [contributors tab](https://github.com/jpivarski/array-oriented-programming/graphs/contributors). + +## Credits + +This project is created using the excellent open source [Jupyter Book project](https://jupyterbook.org/) and the [executablebooks/cookiecutter-jupyter-book template](https://github.com/executablebooks/cookiecutter-jupyter-book). diff --git a/array-oriented-programming/_config.yml b/array-oriented-programming/_config.yml new file mode 100644 index 0000000..493ab20 --- /dev/null +++ b/array-oriented-programming/_config.yml @@ -0,0 +1,37 @@ +####################################################################################### +# A default configuration that will be loaded for all jupyter books +# See the documentation for help and more options: +# https://jupyterbook.org/customize/config.html + +####################################################################################### +# Book settings +title : Array-oriented programming for data analysis # The title of the book. Will be placed in the left navbar. +author : Jim Pivarski # The author of the book +copyright : "2024" # Copyright year to be placed in the footer +logo : logo.png # A path to the book logo + +# Force re-execution of notebooks on each build. +# See https://jupyterbook.org/content/execute.html +execute: + execute_notebooks: force + +# Define the name of the latex output file for PDF builds +latex: + latex_documents: + targetname: book.tex + +# Add a bibtex file so that we can create citations +bibtex_bibfiles: + - references.bib + +# Information about where the book exists on the web +repository: + url: https://github.com/jpivarski/Array-oriented programming for data analysis # Online location of your book + path_to_book: docs # Optional path to your book, relative to the repository root + branch: main # Which branch of the repository should be used when creating links (optional) + +# Add GitHub buttons to your book +# See https://jupyterbook.org/customize/config.html#add-a-link-to-your-repository +html: + use_issues_button: true + use_repository_button: true \ No newline at end of file diff --git a/array-oriented-programming/_toc.yml b/array-oriented-programming/_toc.yml new file mode 100644 index 0000000..d4311d4 --- /dev/null +++ b/array-oriented-programming/_toc.yml @@ -0,0 +1,9 @@ +# Table of contents +# Learn more at https://jupyterbook.org/customize/toc.html + +format: jb-book +root: intro +chapters: +- file: markdown +- file: notebooks +- file: markdown-notebooks \ No newline at end of file diff --git a/array-oriented-programming/content.md b/array-oriented-programming/content.md new file mode 100644 index 0000000..0f6aca7 --- /dev/null +++ b/array-oriented-programming/content.md @@ -0,0 +1,5 @@ +Content in Jupyter Book +======================= + +There are many ways to write content in Jupyter Book. This short section +covers a few tips for how to do so. diff --git a/array-oriented-programming/intro.md b/array-oriented-programming/intro.md new file mode 100644 index 0000000..95577c4 --- /dev/null +++ b/array-oriented-programming/intro.md @@ -0,0 +1,11 @@ +# Welcome to your Jupyter Book + +This is a small sample book to give you a feel for how book content is +structured. +It shows off a few of the major file types, as well as some sample content. +It does not go in-depth into any particular topic - check out [the Jupyter Book documentation](https://jupyterbook.org) for more information. + +Check out the content pages bundled with this sample book to see more. + +```{tableofcontents} +``` \ No newline at end of file diff --git a/array-oriented-programming/logo.png b/array-oriented-programming/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..06d56f40c838b64eb048a63e036125964a069a3a GIT binary patch literal 9854 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z$vBfjX|diF=}~}Se`0d%u`^s!Jiz*S>KK$b5mKnTyL{tReI0e>|9%tuAFB^Xu1EqI z2*~6xoM8t-esZMcNE3x1OqyN-Lp+FtX23bZdIhv1I_L3poeEE12w+x`r3BtK?UgS_ zgjv%6!;CN9dDzM}v3-DxU~SIgW9;-IvqR%OnBm4Ejqg0G}YnQC~*J|RZ=pB5-~vu$W~ z)Un>6^zlydKLzhIZ?b;=zuG68MC1PzKM`{<{lBe>Vh5EBTCLDuB`X-584ml0{G L>8MsHTOs~GC;Fmw literal 0 HcmV?d00001 diff --git a/array-oriented-programming/markdown-notebooks.md b/array-oriented-programming/markdown-notebooks.md new file mode 100644 index 0000000..6d97104 --- /dev/null +++ b/array-oriented-programming/markdown-notebooks.md @@ -0,0 +1,54 @@ +--- +jupytext: + cell_metadata_filter: -all + formats: md:myst + text_representation: + extension: .md + format_name: myst + format_version: 0.13 + jupytext_version: 1.11.5 +kernelspec: + display_name: Python 3 + language: python + name: python3 +--- + +# Notebooks with MyST Markdown + +Jupyter Book also lets you write text-based notebooks using MyST Markdown. +See [the Notebooks with MyST Markdown documentation](https://jupyterbook.org/file-types/myst-notebooks.html) for more detailed instructions. +This page shows off a notebook written in MyST Markdown. + +## An example cell + +With MyST Markdown, you can define code cells with a directive like so: + +```{code-cell} +print(2 + 2) +``` + +When your book is built, the contents of any `{code-cell}` blocks will be +executed with your default Jupyter kernel, and their outputs will be displayed +in-line with the rest of your content. + +```{seealso} +Jupyter Book uses [Jupytext](https://jupytext.readthedocs.io/en/latest/) to convert text-based files to notebooks, and can support [many other text-based notebook files](https://jupyterbook.org/file-types/jupytext.html). +``` + +## Create a notebook with MyST Markdown + +MyST Markdown notebooks are defined by two things: + +1. YAML metadata that is needed to understand if / how it should convert text files to notebooks (including information about the kernel needed). + See the YAML at the top of this page for example. +2. The presence of `{code-cell}` directives, which will be executed with your book. + +That's all that is needed to get started! + +## Quickly add YAML metadata for MyST Notebooks + +If you have a markdown file and you'd like to quickly add YAML metadata to it, so that Jupyter Book will treat it as a MyST Markdown Notebook, run the following command: + +``` +jupyter-book myst init path/to/markdownfile.md +``` \ No newline at end of file diff --git a/array-oriented-programming/markdown.md b/array-oriented-programming/markdown.md new file mode 100644 index 0000000..deaf054 --- /dev/null +++ b/array-oriented-programming/markdown.md @@ -0,0 +1,55 @@ +# Markdown Files + +Whether you write your book's content in Jupyter Notebooks (`.ipynb`) or +in regular markdown files (`.md`), you'll write in the same flavor of markdown +called **MyST Markdown**. +This is a simple file to help you get started and show off some syntax. + +## What is MyST? + +MyST stands for "Markedly Structured Text". It +is a slight variation on a flavor of markdown called "CommonMark" markdown, +with small syntax extensions to allow you to write **roles** and **directives** +in the Sphinx ecosystem. + +For more about MyST, see [the MyST Markdown Overview](https://jupyterbook.org/content/myst.html). + +## Sample Roles and Directives + +Roles and directives are two of the most powerful tools in Jupyter Book. They +are kind of like functions, but written in a markup language. They both +serve a similar purpose, but **roles are written in one line**, whereas +**directives span many lines**. They both accept different kinds of inputs, +and what they do with those inputs depends on the specific role or directive +that is being called. + +Here is a "note" directive: + +```{note} +Here is a note +``` + +It will be rendered in a special box when you build your book. + +Here is an inline directive to refer to a document: {doc}`markdown-notebooks`. + + +## Citations + +You can also cite references that are stored in a `bibtex` file. For example, +the following syntax: `` {cite}`holdgraf_evidence_2014` `` will render like +this: {cite}`holdgraf_evidence_2014`. + +Moreover, you can insert a bibliography into your page with this syntax: +The `{bibliography}` directive must be used for all the `{cite}` roles to +render properly. +For example, if the references for your book are stored in `references.bib`, +then the bibliography is inserted with: + +```{bibliography} +``` + +## Learn more + +This is just a simple starter to get you started. +You can learn a lot more at [jupyterbook.org](https://jupyterbook.org). \ No newline at end of file diff --git a/array-oriented-programming/notebooks.ipynb b/array-oriented-programming/notebooks.ipynb new file mode 100644 index 0000000..fdb7176 --- /dev/null +++ b/array-oriented-programming/notebooks.ipynb @@ -0,0 +1,122 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Content with notebooks\n", + "\n", + "You can also create content with Jupyter Notebooks. This means that you can include\n", + "code blocks and their outputs in your book.\n", + "\n", + "## Markdown + notebooks\n", + "\n", + "As it is markdown, you can embed images, HTML, etc into your posts!\n", + "\n", + "![](https://myst-parser.readthedocs.io/en/latest/_static/logo-wide.svg)\n", + "\n", + "You can also $add_{math}$ and\n", + "\n", + "$$\n", + "math^{blocks}\n", + "$$\n", + "\n", + "or\n", + "\n", + "$$\n", + "\\begin{aligned}\n", + "\\mbox{mean} la_{tex} \\\\ \\\\\n", + "math blocks\n", + "\\end{aligned}\n", + "$$\n", + "\n", + "But make sure you \\$Escape \\$your \\$dollar signs \\$you want to keep!\n", + "\n", + "## MyST markdown\n", + "\n", + "MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check\n", + "out [the MyST guide in Jupyter Book](https://jupyterbook.org/content/myst.html),\n", + "or see [the MyST markdown documentation](https://myst-parser.readthedocs.io/en/latest/).\n", + "\n", + "## Code blocks and outputs\n", + "\n", + "Jupyter Book will also embed your code blocks and output in your book.\n", + "For example, here's some sample Matplotlib code:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from matplotlib import rcParams, cycler\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "plt.ion()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Fixing random state for reproducibility\n", + "np.random.seed(19680801)\n", + "\n", + "N = 10\n", + "data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]\n", + "data = np.array(data).T\n", + "cmap = plt.cm.coolwarm\n", + "rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))\n", + "\n", + "\n", + "from matplotlib.lines import Line2D\n", + "custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),\n", + " Line2D([0], [0], color=cmap(.5), lw=4),\n", + " Line2D([0], [0], color=cmap(1.), lw=4)]\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "lines = ax.plot(data)\n", + "ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There is a lot more that you can do with outputs (such as including interactive outputs)\n", + "with your book. For more information about this, see [the Jupyter Book documentation](https://jupyterbook.org)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": {}, + "version_major": 2, + "version_minor": 0 + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/array-oriented-programming/references.bib b/array-oriented-programming/references.bib new file mode 100644 index 0000000..87e6098 --- /dev/null +++ b/array-oriented-programming/references.bib @@ -0,0 +1,55 @@ +--- +--- + +@inproceedings{holdgraf_evidence_2014, + address = {Brisbane, Australia, Australia}, + title = {Evidence for {Predictive} {Coding} in {Human} {Auditory} {Cortex}}, + booktitle = {International {Conference} on {Cognitive} {Neuroscience}}, + publisher = {Frontiers in Neuroscience}, + author = {Holdgraf, Christopher Ramsay and de Heer, Wendy and Pasley, Brian N. and Knight, Robert T.}, + year = {2014} +} + +@article{holdgraf_rapid_2016, + title = {Rapid tuning shifts in human auditory cortex enhance speech intelligibility}, + volume = {7}, + issn = {2041-1723}, + url = {http://www.nature.com/doifinder/10.1038/ncomms13654}, + doi = {10.1038/ncomms13654}, + number = {May}, + journal = {Nature Communications}, + author = {Holdgraf, Christopher Ramsay and de Heer, Wendy and Pasley, Brian N. and Rieger, Jochem W. and Crone, Nathan and Lin, Jack J. and Knight, Robert T. and Theunissen, Frédéric E.}, + year = {2016}, + pages = {13654}, + file = {Holdgraf et al. - 2016 - Rapid tuning shifts in human auditory cortex enhance speech intelligibility.pdf:C\:\\Users\\chold\\Zotero\\storage\\MDQP3JWE\\Holdgraf et al. - 2016 - Rapid tuning shifts in human auditory cortex enhance speech intelligibility.pdf:application/pdf} +} + +@inproceedings{holdgraf_portable_2017, + title = {Portable learning environments for hands-on computational instruction using container-and cloud-based technology to teach data science}, + volume = {Part F1287}, + isbn = {978-1-4503-5272-7}, + doi = {10.1145/3093338.3093370}, + abstract = {© 2017 ACM. There is an increasing interest in learning outside of the traditional classroom setting. This is especially true for topics covering computational tools and data science, as both are challenging to incorporate in the standard curriculum. These atypical learning environments offer new opportunities for teaching, particularly when it comes to combining conceptual knowledge with hands-on experience/expertise with methods and skills. Advances in cloud computing and containerized environments provide an attractive opportunity to improve the effciency and ease with which students can learn. This manuscript details recent advances towards using commonly-Available cloud computing services and advanced cyberinfrastructure support for improving the learning experience in bootcamp-style events. We cover the benets (and challenges) of using a server hosted remotely instead of relying on student laptops, discuss the technology that was used in order to make this possible, and give suggestions for how others could implement and improve upon this model for pedagogy and reproducibility.}, + author = {Holdgraf, Christopher Ramsay and Culich, A. and Rokem, A. and Deniz, F. and Alegro, M. and Ushizima, D.}, + year = {2017}, + keywords = {Teaching, Bootcamps, Cloud computing, Data science, Docker, Pedagogy} +} + +@article{holdgraf_encoding_2017, + title = {Encoding and decoding models in cognitive electrophysiology}, + volume = {11}, + issn = {16625137}, + doi = {10.3389/fnsys.2017.00061}, + abstract = {© 2017 Holdgraf, Rieger, Micheli, Martin, Knight and Theunissen. Cognitive neuroscience has seen rapid growth in the size and complexity of data recorded from the human brain as well as in the computational tools available to analyze this data. This data explosion has resulted in an increased use of multivariate, model-based methods for asking neuroscience questions, allowing scientists to investigate multiple hypotheses with a single dataset, to use complex, time-varying stimuli, and to study the human brain under more naturalistic conditions. These tools come in the form of “Encoding” models, in which stimulus features are used to model brain activity, and “Decoding” models, in which neural features are used to generated a stimulus output. Here we review the current state of encoding and decoding models in cognitive electrophysiology and provide a practical guide toward conducting experiments and analyses in this emerging field. Our examples focus on using linear models in the study of human language and audition. We show how to calculate auditory receptive fields from natural sounds as well as how to decode neural recordings to predict speech. The paper aims to be a useful tutorial to these approaches, and a practical introduction to using machine learning and applied statistics to build models of neural activity. The data analytic approaches we discuss may also be applied to other sensory modalities, motor systems, and cognitive systems, and we cover some examples in these areas. In addition, a collection of Jupyter notebooks is publicly available as a complement to the material covered in this paper, providing code examples and tutorials for predictive modeling in python. The aimis to provide a practical understanding of predictivemodeling of human brain data and to propose best-practices in conducting these analyses.}, + journal = {Frontiers in Systems Neuroscience}, + author = {Holdgraf, Christopher Ramsay and Rieger, J.W. and Micheli, C. and Martin, S. and Knight, R.T. and Theunissen, F.E.}, + year = {2017}, + keywords = {Decoding models, Encoding models, Electrocorticography (ECoG), Electrophysiology/evoked potentials, Machine learning applied to neuroscience, Natural stimuli, Predictive modeling, Tutorials} +} + +@book{ruby, + title = {The Ruby Programming Language}, + author = {Flanagan, David and Matsumoto, Yukihiro}, + year = {2008}, + publisher = {O'Reilly Media} +} \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..aade051 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,4 @@ +jupyter-book +matplotlib +numpy +ghp-import \ No newline at end of file