SNN Learning Series: Tutorial 1 of 3, Spike Rate Encoding
What I Learned...about data to spike encoding: Rate Encoding Part 1 What I learned from reading through the SNN Torch Tutorial 1: Spike Encoding is summarized in the Notes Infographic…
Paper Review: Boosting AI with neuromorphic computing
nature_paper_sum source:Boosting AI with neuromorphic computing Nat Comput Sci 5, 1–2 (2025). https://doi.org/10.1038/s43588-025-00770-4 Neuromorphic computing has the potential to greatly improve the power efficiency, performance, application of AI on the…
Installing and Troubleshooting ssnTorch
Installation These python libraries (packages) are required. On install using pip command, these dependencies are installed. nd thus automatically installed when using pip command. torch >= 1.1.0 ; numpy >=…
Learning snnTorch
p4_snnTiorch INTRODUCTION¶ Learning PyTorch+ssnTorch > Go To Page A fundamental differences between SNN like in the brain and modern deep learning ANN is that the brain encodes information in spikes…
Podcast summary – Jeff Lichtman on the Connectome
date_p3_connectome Introduction¶ This content is based on #189 of the Mindscape podcast, hosted by Sean Carroll, an American theoretical physicist and professor specializing in quantum mechanics, cosmology, and the philosophy…
Paper Review: An Extensive Analysis of Neuromorphic Computing
129_p2_pr_Extensive Analysis of Neuromorphic Computing Paper Review:¶An Extensive Analysis of Neuromorphic Computing¶ source: Vajpayee, Amit, Palak Preet Kaur, Ankit Sharma, and Santosh Varshney. “An Extensive Analysis of Neuromorphic Computing.” In…
Basics of Machine Learning, Artificial Neural Networks and AI
WIHL_ML&AI Principles from Theory and Fundamentals¶ Machine Learning (ML) is a field of study that uses algorithms to learn patterns from data. An Artificial Neural Network (ANN) is a type…