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Learnable latent embeddings for joint behavioural and neural analysis
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Mapping behavioural actions to neural activity is a fundamental goal of neuroscience. As our ability to record large neural and behavioural data increases, there is growing interest in modeling neural
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2025-12-21 23:17:42
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Learnable latent embeddings for joint behavioural and neural analysis CEBRA Learnable latent embeddings for joint behavioural and neural analysis Steffen Schneider* EPFL & IMPRS-IS Jin Hwa Lee* EPFL Mackenzie Mathis EPFL Paper Preprint Docs Code 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 on behavioural and neural data recorded simultaneously, and it can decode activity from the visual ...
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