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Neuromorphic Tutorials: Spiking Neural Networks (SNNs) from Scratch

This is a series of tutorials focused on neuromorphic computing and Spiking Neural Networks (SNNs) from the ground up. Through a mixture of code, interactive visualizations, and descriptions, it covers the basics of implementing and constructing SNNs
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1.
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Introduction
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Steve Oney
Jan 24, 2023•2 8
2.
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Basic Neuron Models
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Steve Oney
Jan 24, 2023• 7
3.
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Modeling LIF Neurons
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Steve Oney
Jan 24, 2023•1
4.
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Tuning Curves
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Steve Oney
Jan 24, 2023
5.
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Connecting with Synapses and Post-Synaptic Potentials (PSPs)
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Steve Oney
Jan 24, 2023• 3
6.
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Information Transfer and Decoders
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Steve Oney
Jan 24, 2023• 4
7.
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Translating Data to Spikes
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Steve Oney
Jan 24, 2023• 1
8.
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Learning through Spike-Timing Dependent Plasticity (STDP)
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Steve Oney
Jan 24, 2023• 1
9.
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Adaptive LIF Neurons
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Steve Oney
Jan 24, 2023• 1
10.
Model Scaling (Optional)
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Steve Oney
Jan 24, 2023•1
11.
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Research Replication: Unsupervised Learning of Digit Recognition Using STDP (Part 1)
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Steve Oney
Feb 21, 2023• 1
12.
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Research Replication: Unsupervised Learning of Digit Recognition Using STDP (Part 2)
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Steve Oney
Feb 27, 2023•1 1
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Platform
  • Observable Canvases
  • Observable Notebooks
  • Pricing
Docs
  • Observable
  • Observable Framework
  • Observable Plot
  • D3
  • Release notes
Resources
  • Blog
  • Webinars
  • Videos
  • Customer stories
  • Community Slack
  • Forum
Company
  • About
  • Careers
  • GitHub
LinkedInTwitterGitHubYouTube
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