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Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
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The code and supplementary material for the paper 《CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity》
This repository is the implementation of "A Lightweight Spiking Neural Network for EEG-Based Motor Imagery Classification".
A domain specific language for neuron and synapse models in spiking neural network simulation
The official Git repository for the paper: “Event-Driven Asynchronous Graph Neural Network FPGA Accelerator for Real-time Edge Vision”
Comparative study of event-driven vs clock-driven LIF spiking neuron implementations. Includes software simulation, FPGA hardware deployment, and analysis of decay strategies across multiple datase…
Offical implementation of "SpikingBrain2.0: Brain-Inspired Foundation Models for Efficient Long-Context and Cross-Platform Inference"
Run interactive Linux on Nexys Video FPGA with Chipyard Rocket Core
[DATE'25, ICCAD'25] An embedded FPGA-based LLM accelerator capable of supporting Llama2-7B
Spiking Brain-inspired Large Models, integrating hybrid efficient attention, MoE modules and spike encoding into its architecture
PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.
Axon SDK is a python simulation toolkit for building and executing spiking neural networks
A list of neuromorphic software projects
ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.
Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pre-built PyTorch wheels for Pynq-Z2 (ARMv7) and Python 3.12.
Energy-efficient Event-driven Spiking Neural Network accelerator for FPGA with PyTorch integration
Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.
[CVPR 2026] Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion
A Python-based module for creating flexible and robust spike sorting pipelines.