This is the code for the paper *Paired Competing Neurons Improving STDP Supervised Local Learning In Spiking Neural Networks*, available at: \<coming soon>.
This is the code for the paper *Paired Competing Neurons Improving STDP Supervised Local Learning In Spiking Neural Networks*, published in Frontiers in Neuroscience ([paper link](https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2024.1401690/full)).
The proposed SNN consists of a feature extraction layer (called CSNN) trained with unsupervised STDP and a classification layer (called Readout) trained with supervised STDP.
The proposed SNN consists of a feature extraction layer (called CSNN) trained with unsupervised STDP and a classification layer (called Readout) trained with supervised STDP.
The paper focuses on the classification layer and introduces a supervised STDP learning rule as well as a training architecture called Paired Competing Neurons (PCN).
The paper focuses on the classification layer and introduces a supervised STDP learning rule as well as a training architecture called Paired Competing Neurons (PCN).
