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CEBRA is a machine-learning method that can be used to compress time series in a way that reveals otherwise hidden structures in the variability of the data. It excels at processing behavioural and neural data recorded simultaneously, and it can decode activity from the visual cortex of the mouse brain to reconstruct a viewed video.
Tobias Kober, Meritxell Bach Cuadra, Jonas Richiardi, Veronica Lily Ravano, Pedro Macías Gordaliza
Lenka Zdeborová, Florent Gérard Krzakala, Hugo Chao Cui, Freya Behrens