Solving a steady-state PDE using spiking networks and neuromorphic hardware - Smith et al. ICONS 2020
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Updated
Aug 31, 2022 - Python
Solving a steady-state PDE using spiking networks and neuromorphic hardware - Smith et al. ICONS 2020
PyTorch implementation of DynapSE neural model
Useful tools to compress and decompress AEDAT files in Python
Visual Oscillators
Low-Power Image Classification on Neuromorphic Hardware
Runs networkx graphs representing spiking neural networks of LIF-neurons on lava-nc or networkx.
Neurocam is a cutting-edge surveillance system for the Raspberry Pi 4 powered by the Akida neuromorphic processor with ChatGPT 4 frame analysis
a (simplistic) neuromimetic retina model based on open hardware such as the raspberry π
Neuromorphic spatio-temporal receptive fields
Function generation from a Sum of Oscillator Signals
An open-source package that offer fully-functional spike-based bio-inspired hippocampal memory models implemented with SNN technology in the SpiNNaker hardware in Python
Implementation of "Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks" by Fang et al. (2020)
Emulation of event camera data using standard RGB images
Machine Learning tools for Dynamic Vision Sensors such as DVS128
Simulation of Advanced Neuromorphic Architectures for Fast Exploration
Learning how to use the Akida neuromorphic processor with a Camera feed
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