Statistics for topic spiking-neural-networks

Brain Dynamics Programming in Python

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Deep and online learning with spiking neural networks in Python

Brain Dynamics Programming in Python

Deep and online learning with spiking neural networks in Python

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Deep and online learning with spiking neural networks in Python

Brain Dynamics Programming in Python

Simulation of spiking neural networks (SNNs) using PyTorch.

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

Brain Dynamics Programming in Python

NGC-Learn: Neurobiological Systems Design and Simulation in Python

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Deep and online learning with spiking neural networks in Python

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

Deep learning with spiking neural networks (SNNs) in PyTorch.

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

Leaky Integrate and Fire (LIF) model implementation for FPGA

NGC-Learn: Neurobiological Systems Design and Simulation in Python

Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)

Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024

Deep and online learning with spiking neural networks in Python

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

Simulation of spiking neural networks (SNNs) using PyTorch.

Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)

[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)

Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

Leaky Integrate and Fire (LIF) model implementation for FPGA