Characterization of Generalizability of Spike Timing Dependent Plasticity trained Spiking Neural Networks
Published in Frontiers in Neuroscience, 2021, 2021
Through rigorous analysis, this study sheds light on the capabilities and limitations of SNNs trained with STDP, demonstrating their impressive generalizability and potential for application in various domains, from robotics to cognitive computing.
Recommended citation: B. Chakraborty, S. Mukhopadhyay. (2021). "Characterization of Generalizability of Spike Timing Dependent Plasticity trained Spiking Neural Networks." Frontiers in Neuroscience, 2021. https://www.frontiersin.org/articles/10.3389/fnins.2021.695357/full