Tootfinder

Integration of Contrastive Predictive Coding and Spiking Neural Networks
Emirhan Bilgi\c{c}, Neslihan Serap \c{S}eng\"or, Nam{\i}k Berk Yalab{\i}k, Yavuz Selim \.I\c{s}ler, Aykut G\"orkem Gelen, Rahmi Elibol
https://arxiv.org/abs/2506.09194

Integration of Contrastive Predictive Coding and Spiking Neural Networks
This study examines the integration of Contrastive Predictive Coding (CPC) with Spiking Neural Networks (SNN). While CPC learns the predictive structure of data to generate meaningful representations, SNN mimics the computational processes of biological neural systems over time. In this study, the goal is to develop a predictive coding model with greater biological plausibility by processing inputs and outputs in a spike-based system. The proposed model was tested on the MNIST dataset and achie…