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Model-based targeted dimensionality reduction for neuronal population data

NeurIPS 2018 · Probabilistic and scientific modeling › Dynamical systems · approach: Latent models of neural activity · 22 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use ECME or MML estimation instead of SVD or bilinear (ablation)MBTDR · Simulated neuronal data (n=100, T=15)parameter MSEHelped
Use MML instead of ECME (ablation)MBTDR · Simulated neuronal data (n=100, T=15)parameter MSENo clear effect
Use ECME instead of MML or bilinear (ablation)MBTDR · Simulated neuronal data (n=100, T=15)computation timeHelped
Use MML instead of ECME for rank estimation (ablation)MBTDR · Simulated neuronal data (n=100, T=15)dimensionality estimation accuracyHelped
Use ECME or MML instead of SVD or bilinear (ablation)MBTDR · Simulated neuronal data (n=100, T=15)dimensionality estimation accuracyHelped
Use Poisson observations instead of Gaussian (model mismatch)MBTDR · Simulated neuronal data (n=100, T=15), 2000 trialsdimensionality estimation accuracyNo clear effect
Use MBTDR (MML) instead of dPCAsubspace estimation · Simulated two binary task variables, 100 trialssubspace MSEHelped

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