Nature research paper: Learnable latent embeddings for joint behavioural and neural analysis
Because CEBRA is a parametric method training a neural network internally, it is possible to embed new data points after fitting the model:Besides this simple-to-use API for end users, our implementation of CEBRA is a modular software library that includes a plugin system, allowing more advanced users to readily add additional model implementations, similarity functions, datasets and data loaders and distributions for sampling positive and negative pairs.
For Allen visual data in which the number of behavioural data points is the same across different sessions , we directly computed thescore of linear regression between embeddings from different sessions and modalities. We surveyed three, four, eight, 32, 64 and 128 latent dimensions with CEBRA.
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