TCLA aligns latent neural representations from source to target sessions in a task-conditioned manner using an autoencoder to improve spiking data decoding performance when target data is limited.
Rapid adaptation of brain–computer interfaces to new neuronal ensembles or participants via generative modelling
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Cross-Session Decoding of Neural Spiking Data via Task-Conditioned Latent Alignment
TCLA aligns latent neural representations from source to target sessions in a task-conditioned manner using an autoencoder to improve spiking data decoding performance when target data is limited.