From 2c0827ccffc524907eb24624b76f736dd87ec5a7 Mon Sep 17 00:00:00 2001
From: Michael Royal <45159366+mikeroyal@users.noreply.github.com>
Date: Mon, 26 Sep 2022 01:51:18 -0700
Subject: [PATCH] Updated Getting Started with Neuromorphic Computing.
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README.md | 116 ++++++++++++++++++++++++++++++++++++++++++------------
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# Table of Contents
-1. [Neuromorphic Computing Learning Resources](https://github.com/mikeroyal/Neuromorphic-Computing-Guide#Neuromorphic-Computing-learning-resources)
+1. [Getting Stat\rted with Neuromorphic Computing](https://github.com/mikeroyal/Neuromorphic-Computing-Guide#Getting-Started -with-Neuromorphic-Computing)
+ * [Developer Resources](https://github.com/mikeroyal/Neuromorphic-Computing-Guide#developer-resources)
+ * [Online Training Courses](https://github.com/mikeroyal/Neuromorphic-Computing-Guide#online-training-courses)
+ * [Books](https://github.com/mikeroyal/Neuromorphic-Computing-Guide#books)
+ * [YouTube videos](https://github.com/mikeroyal/Neuromorphic-Computing-Guide#youtube-videos)
2. [Neuromorphic Computing Tools, Libraries, and Frameworks](https://github.com/mikeroyal/Neuromorphic-Computing-Guide#Neuromorphic-Computing-tools-libraries-and-frameworks)
@@ -75,54 +79,116 @@
18. [C/C++ Development](https://github.com/mikeroyal/Neuromorphic-Computing-Guide#cc-development)
-# Neuromorphic Computing Learning Resources
-[Back to the Top](https://github.com/mikeroyal/Neuromorphic-Computing-Guide#table-of-contents)
+# Getting Started with Neuromorphic Computing
+[Back to the Top](#table-of-contents)
[Neuromorphic Computing](https://en.wikipedia.org/wiki/Neuromorphic_engineering) is the use of [very large scale integration (VLSI)](https://en.wikipedia.org/wiki/Very-large-scale_integration) systems containing electronic [analog circuits](https://en.wikipedia.org/wiki/Analog_circuit) to simulate the neuro-biological architectures present in the human brain ad nervous system.
-[Neuromorphic Computing - Next Generation of AI | Intel](https://www.intel.com/content/www/us/en/research/neuromorphic-computing.html)
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+ Intel Loihi 2, its second-generation neuromorphic research chip.
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+
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+
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+ The Akida Neuromorphic System-on-Chip (NSoC) developed by BrainChip.
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+
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+### Developer Resources
+
+[Back to the Top](#table-of-contents)
+
+ * [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
-[Brains Behind the Brains: Mike Davies and Neuromorphic Computing at Intel Labs | YouTube](https://www.youtube.com/watch?v=GN3eSMoJcM8)
+[Back to the Top](#table-of-contents)
-[Neuromorphic Computing | NIST](https://www.nist.gov/programs-projects/neuromorphic-computing)
+ * [Top Computational Neuroscience Courses Online | Coursera](https://www.coursera.org/courses?query=computational%20neuroscience)
-[Neuromorphic Computing | EBRAINS Research Infrastructure](https://ebrains.eu/service/neuromorphic-computing/)
+ * [Computational Neuroscience Course Online | Coursera](https://www.coursera.org/learn/computational-neuroscience)
-[Neuromorphic devices & systems | IBM Research Zurich](https://www.zurich.ibm.com/st/neuromorphic/)
+ * [Computational Neuroscience: Neuronal Dynamics of Cognition Course Online | edX](https://www.edx.org/course/computational-neuroscience-neuronal-dynamics-of-co)
-[Top Computational Neuroscience Courses Online | Coursera](https://www.coursera.org/courses?query=computational%20neuroscience)
+ * [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)
-[Computational Neuroscience Course Online | Coursera](https://www.coursera.org/learn/computational-neuroscience)
+ * [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)
-[Computational Neuroscience: Neuronal Dynamics of Cognition Course Online | edX](https://www.edx.org/course/computational-neuroscience-neuronal-dynamics-of-co)
+ * [Fundamentals of Neuroscience, Part 3: The Brain | Harvard Online Learning](https://online-learning.harvard.edu/course/fundamentals-neuroscience-part-3-brain?delta=2)
-[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)
+ * [Introduction to Computational Neuroscience | MIT OpenCourseWare](https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-29j-introduction-to-computational-neuroscience-spring-2004/)
-[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)
+ * [Brain and Cognitive Sciences Online Course | MIT OpenCourseWare](https://ocw.mit.edu/courses/brain-and-cognitive-sciences/)
-[Fundamentals of Neuroscience, Part 3: The Brain | Harvard Online Learning](https://online-learning.harvard.edu/course/fundamentals-neuroscience-part-3-brain?delta=2)
+ * [Getting Started with PyTorch](https://pytorch.org/get-started/locally/)
-[Introduction to Computational Neuroscience | MIT OpenCourseWare](https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-29j-introduction-to-computational-neuroscience-spring-2004/)
+ * [Top Pytorch Courses Online | Coursera](https://www.coursera.org/courses?query=pytorch&page=1)
-[Brain and Cognitive Sciences Online Course | MIT OpenCourseWare](https://ocw.mit.edu/courses/brain-and-cognitive-sciences/)
+ * [Top Pytorch Courses Online | Udemy](https://www.udemy.com/topic/PyTorch/)
-[Getting Started with PyTorch](https://pytorch.org/get-started/locally/)
+ * [Learn PyTorch with Online Courses and Classes | edX](https://www.edx.org/learn/pytorch)
-[PyTorch Documentation](https://pytorch.org/docs/stable/index.html)
+ * [Intro to Deep Learning with PyTorch | Udacity](https://www.udacity.com/course/deep-learning-pytorch--ud188)
-[Top Pytorch Courses Online | Coursera](https://www.coursera.org/courses?query=pytorch&page=1)
+ * [PyTorch on Azure - Deep Learning with PyTorch | Microsoft Azure](https://azure.microsoft.com/en-us/develop/pytorch/)
-[Top Pytorch Courses Online | Udemy](https://www.udemy.com/topic/PyTorch/)
+ * [Deep Learning with PyTorch | Amazon Web Services (AWS)](https://aws.amazon.com/pytorch/)
-[Learn PyTorch with Online Courses and Classes | edX](https://www.edx.org/learn/pytorch)
+ * [Getting started with PyTorch on Google Cloud](https://cloud.google.com/ai-platform/training/docs/getting-started-pytorch)
-[Intro to Deep Learning with PyTorch | Udacity](https://www.udacity.com/course/deep-learning-pytorch--ud188)
+### Books
-[PyTorch on Azure - Deep Learning with PyTorch | Microsoft Azure](https://azure.microsoft.com/en-us/develop/pytorch/)
+ * [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)
-[Deep Learning with PyTorch | Amazon Web Services (AWS)](https://aws.amazon.com/pytorch/)
+ * [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)
-[Getting started with PyTorch on Google Cloud](https://cloud.google.com/ai-platform/training/docs/getting-started-pytorch)
+ * [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 channels
+
+ * [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)
# Neuromorphic Computing Tools, Libraries, and Frameworks
[Back to the Top](https://github.com/mikeroyal/Neuromorphic-Computing-Guide#table-of-contents)