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Justin Jude

2 accepted papers

2022

Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation

ICML 2022spotlight

Neural population activity relating to behaviour is assumed to be inherently low-dimensional despite the observed high dimensionality of data recorded using multi-electrode arrays. Therefore, predicting behaviour from neural population recordings has been shown to be most effective when using latent…

Cited by 28SourcePDFScholar
2021

Targeted Neural Dynamical Modeling

NeurIPS 2021poster

Latent dynamics models have emerged as powerful tools for modeling and interpreting neural population activity. Recently, there has been a focus on incorporating simultaneously measured behaviour into these models to further disentangle sources of neural variability in their latent space. These appr…

Cited by 41SourcePDFScholar