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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 28Source ↗PDF ↗Scholar ↗
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 41Source ↗PDF ↗Scholar ↗