Wave 3: paper36-45
Advanced SNN applications including self-supervised learning, GANs, diffusion models, graph networks, RAG, SAT solving, vision-language alignment, RL, forecasting, and KANs.
Projects
| Project | Directory | Purpose | Agent | Has Code |
|---|---|---|---|---|
| SpikeSSL | Papers/paper36/ | Self-Supervised Learning via Spike Timing | spikessl-agent | No |
| NeuroGAN | Papers/paper37/ | Spiking Generative Adversarial Networks | neurogan-agent | Yes |
| SpikeDiff | Papers/paper38/ | Diffusion Models with Neuromorphic Dynamics | spikediff-agent | No |
| TempoGraph | Papers/paper39/ | Temporal Graph Networks with Spike Communication | tempograph-agent | Yes |
| SpikeRAG | Papers/paper40/ | Retrieval-Augmented Generation with Spike Memory | spikerag-agent | Yes |
| NeuroSAT | Papers/paper41/ | Boolean Satisfiability via Spiking Networks | neurosat-agent | Yes |
| SpikeCLIP | Papers/paper42/ | Contrastive Vision-Language with Spike Alignment | spikeclip-agent | Yes |
| TempoRL | Papers/paper43/ | Reinforcement Learning with Spike-Time Rewards | temporl-agent | No |
| NeuroCast | Papers/paper44/ | Time Series Forecasting with Spiking Reservoirs | neurocast-agent | No |
| SpikeKAN | Papers/paper45/ | Kolmogorov-Arnold Networks with Spike Functions | spikekan-agent | Yes |
All 10 projects are in "Reviewed" status with CLAUDE.md agent context files.