Using MdBook

.github/workflows/mdbook.yml

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+# Sample workflow for building and deploying a mdBook site to GitHub Pages
+#
+# To get started with mdBook see: https://rust-lang.github.io/mdBook/index.html
+#
+name: Deploy mdBook site to Pages
+
+on:
+  # Runs on pushes targeting the default branch
+  push:
+    branches: ["main"]
+
+  # Allows you to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
+permissions:
+  contents: read
+  pages: write
+  id-token: write
+
+# 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:
+  # Build job
+  build:
+    runs-on: ubuntu-latest
+    env:
+      MDBOOK_VERSION: 0.4.36
+    steps:
+      - uses: actions/checkout@v4
+      - name: Install mdBook
+        run: |
+          curl --proto '=https' --tlsv1.2 https://sh.rustup.rs -sSf -y | sh
+          rustup update
+          cargo install --version ${MDBOOK_VERSION} mdbook
+      - name: Setup Pages
+        id: pages
+        uses: actions/configure-pages@v5
+      - name: Build with mdBook
+        run: mdbook build
+      - name: Upload artifact
+        uses: actions/upload-pages-artifact@v3
+        with:
+          path: ./book
+
+  # Deployment job
+  deploy:
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+    runs-on: ubuntu-latest
+    needs: build
+    steps:
+      - name: Deploy to GitHub Pages
+        id: deployment
+        uses: actions/deploy-pages@v4

.gitignore

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+book/

book.toml

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+[book]
+authors = ["Jonathan Woollett-Light", "Michael Royal "]
+language = "en"
+multilingual = false
+src = "src"
+title = "Neuromorphic Computing Guide"

src/SUMMARY.md

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+# Summary
+
+- [Getting Started with Neuromorphic Computing](./chapter_0.md)
+- [Neuromorphic Computing Tools, Libraries, and Frameworks](./chapter_1.md)
+- [Algorithms](./chapter_2.md)
+- [Machine Learning](./chapter_3.md)
+- [Deep Learning Development](./chapter_4.md)
+- [Reinforcement Learning Development](./chapter_5.md)
+- [Computer Vision Development](./chapter_6.md)
+- [NLP Development](./chapter_7.md)
+- [Bioinformatics](./chapter_8.md)
+- [Robotics Development](./chapter_9.md)
+- [Electric charge, field, and potential](./chapter_10.md)
+- [Electromagnetic waves and interference](./chapter_11.md)
+- [CUDA Development](./chapter_12.md)
+- [MATLAB Development](./chapter_13.md)
+- [Python Development](./chapter_14.md)
+- [C/C++ Development](./chapter_15.md)

src/chapter_0.md

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+<!-- <img style="max-height:300px;" src="https://user-images.githubusercontent.com/45159366/135770914-155e462b-3ad3-4ca6-be97-505e7b0bc201.png"> -->
+
+<!-- <img style="max-height:300px;" src="https://user-images.githubusercontent.com/45159366/135770894-8f07e3db-59f8-44cd-9105-cee2885aef8f.png"> -->
+
+# Getting Started with Neuromorphic Computing
+
+Neuromorphic Computing is the use of very large scale integration (VLSI) systems containing electronic analog circuits to simulate the neuro-biological architectures present in the human brain ad nervous system.
+
+<p align="center"><img style="max-height:300px;" src="https://user-images.githubusercontent.com/45159366/192233734-905ff1fe-3e5e-4c50-ac5b-fd2cc68ae77d.png"></p>
+
+Intel Loihi 2, its second-generation neuromorphic research chip.
+
+<p align="center"><img style="max-height:300px;" src="https://user-images.githubusercontent.com/45159366/192233740-d6b7704e-2aad-4f66-b8ee-4b35d606dc0c.png"></p>
+
+The Akida Neuromorphic System-on-Chip (NSoC) developed by BrainChip.
+
+## Developer Resources
+
+- [Neuromorphic Computing - Next Generation of AI | Intel](https://www.intel.com/content/www/us/en/research/neuromorphic-computing.html)
+- [Next-Level Neuromorphic Computing: Intel Lab's Loihi 2 Chip | Intel](https://www.intel.com/content/www/us/en/research/neuromorphic-computing-loihi-2-technology-brief.html)
+- [Neuromorphic Computing | NIST](https://www.nist.gov/programs-projects/neuromorphic-computing)
+- [Programming and Usability of Neuromorphic Computing | ORNL](https://www.ornl.gov/division/csmd/projects/programming-and-usability-neuromorphic-computing)
+- [Neuromorphic Computing | EBRAINS Research Infrastructure](https://ebrains.eu/service/neuromorphic-computing/)
+- [Neuromorphic devices & systems | IBM Research Zurich](https://www.zurich.ibm.com/st/neuromorphic/)
+- [Light-Emitting Artificial Synapses for Neuromorphic Computing (Research Paper PDF)](https://spj.sciencemag.org/journals/research/2022/9786023/)
+
+### Online Training Courses
+
+- [Top Computational Neuroscience Courses Online | Coursera](https://www.coursera.org/courses?query=computational%20neuroscience)
+- [Computational Neuroscience Course Online | Coursera](https://www.coursera.org/learn/computational-neuroscience)
+- [Computational Neuroscience: Neuronal Dynamics of Cognition Course Online | edX](https://www.edx.org/course/computational-neuroscience-neuronal-dynamics-of-co)
+- [Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron | Harvard Online Learning](https://online-learning.harvard.edu/course/fundamentals-neuroscience-part-1-electrical-properties-neuron?delta=2)
+- [Fundamentals of Neuroscience, Part 2: Neurons and Networks | Harvard Online Learning](https://online-learning.harvard.edu/course/fundamentals-neuroscience-part-2-neurons-and-networks?delta=2)
+- [Fundamentals of Neuroscience, Part 3: The Brain | Harvard Online Learning](https://online-learning.harvard.edu/course/fundamentals-neuroscience-part-3-brain?delta=2)
+- [Introduction to Computational Neuroscience | MIT OpenCourseWare](https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-29j-introduction-to-computational-neuroscience-spring-2004/)
+- [Brain and Cognitive Sciences Online Course | MIT OpenCourseWare](https://ocw.mit.edu/courses/brain-and-cognitive-sciences/)
+- [Getting Started with PyTorch](https://pytorch.org/get-started/locally/)
+- [Top Pytorch Courses Online | Coursera](https://www.coursera.org/courses?query=pytorch&page=1)
+- [Top Pytorch Courses Online | Udemy](https://www.udemy.com/topic/PyTorch/)
+- [Learn PyTorch with Online Courses and Classes | edX](https://www.edx.org/learn/pytorch)
+- [Intro to Deep Learning with PyTorch | Udacity](https://www.udacity.com/course/deep-learning-pytorch--ud188)
+- [PyTorch on Azure - Deep Learning with PyTorch | Microsoft Azure](https://azure.microsoft.com/en-us/develop/pytorch/)
+- [Deep Learning with PyTorch | Amazon Web Services (AWS)](https://aws.amazon.com/pytorch/)
+- [Getting started with PyTorch on Google Cloud](https://cloud.google.com/ai-platform/training/docs/getting-started-pytorch)
+
+### Books
+
+- [Neuromorphic Computing Principles and Organization by Abderazek Ben Abdallah and Khanh N. Dang](https://www.amazon.com/Neuromorphic-Computing-Principles-Organization-Abderazek-ebook-dp-B0B2VWTBJH/dp/B0B2VWTBJH/ref=mt_other?_encoding=UTF8&me=&qid=1664159825)
+- [Neuromorphic Computing and Beyond: Parallel, Approximation, Near Memory, and Quantum by Khaled Salah Mohamed](https://www.amazon.com/Neuromorphic-Computing-Beyond-Parallel-Approximation/dp/3030372235)
+- [Neuromorphic Engineering: The Scientist's, Algorithm Designer's, and Computer Architect's Perspectives on Brain-Inspired Computing by Elishai Ezra Tsur](https://www.amazon.com/Neuromorphic-Engineering-Scientists-Perspectives-Brain-Inspired/dp/036767680X/ref=sr_1_3?crid=1Q98YGBP8R3T5&keywords=Neuromorphic+Computing&qid=1664159919&qu=eyJxc2MiOiIzLjk0IiwicXNhIjoiMy42NSIsInFzcCI6IjIuNzUifQ%3D%3D&refinements=p_72%3A1250221011&rnid=1250219011&s=books&sprefix=neuromorphic+computing%2Cstripbooks%2C329&sr=1-3)
+- [Memristors for Neuromorphic Circuits and Artificial Intelligence Applications by Jordi Suñé](https://www.amazon.com/Memristors-Neuromorphic-Artificial-Intelligence-Applications/dp/3039285769/ref=sr_1_2?crid=1Q98YGBP8R3T5&keywords=Neuromorphic+Computing&qid=1664159919&qu=eyJxc2MiOiIzLjk0IiwicXNhIjoiMy42NSIsInFzcCI6IjIuNzUifQ%3D%3D&refinements=p_72%3A1250221011&rnid=1250219011&s=books&sprefix=neuromorphic+computing%2Cstripbooks%2C329&sr=1-2)
+- [Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design by Nan Zheng, Pinaki Mazumder](https://www.google.com/books/edition/Learning_in_Energy_Efficient_Neuromorphi/IvC0DwAAQBAJ?hl=en&gbpv=0) 
+- [Neuromorphic Devices for Brain-inspired Computing: Artificial Intelligence, Perception, and Robotics by Qing Wan, Yi Shi](https://www.google.com/books/edition/Neuromorphic_Devices_for_Brain_inspired/GLtREAAAQBAJ?hl=en&gbpv=0) 
+- [Understanding and Bridging the Gap between Neuromorphic Computing and Machine Learning by Huajin Tang, Kaushik Roy, Lei Deng](https://www.google.com/books/edition/Understanding_and_Bridging_the_Gap_betwe/mrIsEAAAQBAJ?hl=en&gbpv=0)
+- [Photo-Electroactive Non-Volatile Memories for Data Storage and Neuromorphic Computing by Ye Zhou, Suting Han](https://www.google.com/books/edition/Photo_Electroactive_Non_Volatile_Memorie/03rnDwAAQBAJ?hl=en)
+- [Neuromorphic Photonics by Bhavin J. Shastri, Paul R. Prucnal](https://www.google.com/books/edition/Neuromorphic_Photonics/VbvODgAAQBAJ?hl=en&gbpv=0)
+
+### YouTube videos
+
+- [Neuromorphic Computing Explained | Jeffrey Shainline and Lex Fridman](https://www.youtube.com/watch?v=u22-2CTErIQ)
+- [Brains Behind the Brains: Mike Davies and Neuromorphic Computing at Intel Labs | Intel](https://www.youtube.com/watch?v=GN3eSMoJcM8)
+- [How Neuromorphic Computing Uses the Human Brain as a Model | Intel Labs](https://www.youtube.com/watch?v=Z1GdHNwQtt4)
+- [ESWEEK 2021 Education - Introduction to Neuromorphic Computing](https://www.youtube.com/watch?v=gzD3ygkoJKE)
+- [Stanford Seminar: Neuromorphic Chips: Addressing the Nanostransistor Challenge](https://www.youtube.com/watch?v=vHlbC74RJGU)
+- [Brain-Like (Neuromorphic) Computing - Computerphile](https://www.youtube.com/watch?v=Qow8pIvExH4)
+- [Photonic Neuromorphic Computing: The Future of AI? | ExplainingComputers ](https://www.youtube.com/watch?v=hBFLeQlG2og)
+- [Machine learning + neuroscience = biologically feasible computing | Benjamin Migliori | TEDxSanDiego](https://www.youtube.com/watch?v=iPdKMs9cEAs)