markstrefford/Spiking-Neural-Network
Basic SNN propogating spikes between LIF neurons
This project helps researchers and students understand the fundamental mechanics of Spiking Neural Networks (SNNs). It simulates how electrical "spikes" move through basic neural layers, allowing you to observe the propagation patterns. It's used by neuroscientists, AI researchers, or students curious about the foundational principles of brain-inspired computing.
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Use this if you are studying or teaching the basic principles of how spikes propagate through a simple, feedforward Spiking Neural Network without learning.
Not ideal if you need to build a biologically realistic model, integrate real-world data, or implement a spiking neural network that can learn and solve complex problems.
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Last pushed
Aug 28, 2018
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