Publicly available event datasets and transforms.
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Updated
Jul 10, 2024 - Python
Publicly available event datasets and transforms.
Deep learning with spiking neural networks (SNNs) in PyTorch.
Coding projects by the community for the community
A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.
[IEEE TCYB 2023] The first large-scale tracking dataset by fusing RGB and Event cameras.
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
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
Visual Oscillators
Simulation of Advanced Neuromorphic Architectures for Fast Exploration
Neuromorphic spatio-temporal receptive fields
Learning how to use the Akida neuromorphic processor with a Camera feed
Neurocam is a cutting-edge surveillance system for the Raspberry Pi 4 powered by the Akida neuromorphic processor with ChatGPT 4 frame analysis
Low-Power Image Classification on Neuromorphic Hardware
A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network synchronization, and relate the nature of the coupled harmonic oscillators with non-local behavior and chimera states in systems of quantum particles. Coding Used is based on mathematical modelling of transport in q…
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
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