A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule

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Neural Networks 121 (2020) 387–395

 

ABSTRACT

 

1. Introduction

 

2. Network architecture and neuronal dynamics

 

3. Recognition performance for the MNIST task

 

4. Visualization of model clustering ability

 

5. Comparison with other SNN models

 

6. Robustness of our SL model

 

7. Discussion