Add and thin: Diffusion for temporal point processes
Autoregressive neural networks within the temporal point process (TPP) framework have
become the standard for modeling continuous-time event data. Even though these models …
become the standard for modeling continuous-time event data. Even though these models …
Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes
McKean-Vlasov stochastic differential equations (MV-SDEs) provide a mathematical
description of the behavior of an infinite number of interacting particles by imposing a …
description of the behavior of an infinite number of interacting particles by imposing a …
Neuron synchronization analyzed through spatial-temporal attention
H Yang, P KC, P Chen, H Lei, S Sponberg, V Tarokh… - bioRxiv, 2024 - biorxiv.org
Across diverse organisms, the temporal dynamics of spiking responses between neurons,
the neural synchrony, is crucial for encoding different stimuli. Neural synchrony is especially …
the neural synchrony, is crucial for encoding different stimuli. Neural synchrony is especially …