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Poisson Variational Autoencoder
Variational autoencoders (VAE) employ Bayesian inference to interpret sensory inputs, mirroring processes that occur in primate vision across both ventral (Higgins et al., 2021) and dorsal (Vafaii et al., 2023) pathways.
Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations
We demonstrate that PAL estimators achieve fast and accurate extraction of latent structure from multi-neuron spike train data.
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