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Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data

arXiv:2310.03111v2 Announce Type: replace-cross Abstract: Characterizing the relationship between neural population activity and behavioral data is a central goal of neuroscience. While latent variable models (LVMs) are successful in describing high-dimensional time-series dat...

🔗 Read more: https://arxiv.org/abs/2310.03111

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