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Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective., , , and . CoRR, (2019)Understanding and Improving Optimization in Predictive Coding Networks., , and . CoRR, (2023)Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference., , , , , and . CoRR, (2021)Embodied Event-Driven Random Backpropagation., , , , , , and . CoRR, (2019)Patient Privacy Protecting Physics Informed Neural Network for Cardiovascular Monitoring., , and . BioCAS, page 1-5. IEEE, (2023)Encoding Event-Based Data With a Hybrid SNN Guided Variational Auto-encoder in Neuromorphic Hardware., , , and . NICE, page 88-97. ACM, (2022)Effect of Asymmetric Nonlinearity Dynamics in RRAMs on Spiking Neural Network Performance., , , and . ACSSC, page 495-499. IEEE, (2019)Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks., , , , and . IJCNN, page 1-6. IEEE, (2013)Building a Better Lie Detector with BERT: The Difference Between Truth and Lies., , and . IJCNN, page 1-7. IEEE, (2020)Inherently stochastic spiking neurons for probabilistic neural computation., , , , and . NER, page 356-359. IEEE, (2015)