Inferring single-trial neural population dynamics using sequential auto-encoders

Inferring single-trial neural population dynamics using sequential auto-encoders

Inferring single-trial neural population dynamics using sequential auto-encoders, Published online: 17 September 2018; doi:10.1038/s41592-018-0109-9

LFADS, a deep learning method for analyzing neural population activity, can extract neural dynamics from single-trial recordings, stitch separate datasets into a single model, and infer perturbations, for example, from behavioral choices to these dynamics.

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