Neuronal Decoding of Decisions in Multidimensional Feature Space Using a Gated Recurrent Variational Autoencoder
Charles Grimes Gerrity, Robert Louie Treuting, Richard Alan Peters, Thilo Womelsdorf
This paper develops a gated recurrent variational autoencoder to decode decision-making from neuronal data in monkeys, showing comparable accuracy in multidimensional feature space.
bioRxiv · Aug 20, 2025 · PreprintNeuroscience