Modeling neural dynamics during speech production using a state space variational autoencoder

13 Jan 2019Pengfei SunDavid A. MosesEdward Chang

Characterizing the neural encoding of behavior remains a challenging task in many research areas due in part to complex and noisy spatiotemporal dynamics of evoked brain activity. An important aspect of modeling these neural encodings involves separation of robust, behaviorally relevant signals from background activity, which often contains signals from irrelevant brain processes and decaying information from previous behavioral events... (read more)

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