AI Paper Atlas

Research map / Probabilistic and scientific modeling / Dynamical systems

Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations

NeurIPS 2017 · Probabilistic and scientific modeling › Dynamical systems · approach: Low-rank and diffusion neural dynamics · 17 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use dynamics-agnostic S3ID rather than FA with post-hoc alignmentZebrafish imaging data · Held-out voxel pairsinstantaneous covariance correlation: 0.71Helped
Use dynamics-agnostic S3ID rather than GROUSEZebrafish imaging data · Held-out voxel pairsinstantaneous covariance correlation: 0.72Helped
Use nonlinear rather than linear latent dynamics (ablation)S3ID on the spiking neural network · Non-observed pairwise covariancestime-lagged covariance predictionHelped
Use nonlinear rather than linear latent dynamics (ablation)S3ID on the zebrafish imaging data · Held-out voxel pairscovariance reconstructionHelped
Initialize sEM with S3ID rather than random parametersStitching LDS models · Simulated LDS at multiple population sizessubspace estimation performanceHelped
Set latent dimensionality to 5 rather than the true value 10 (ablation)S3ID · Simulated LDS, 5% overlapunobserved instantaneous covariance correlation: 0.99 -> 0.69Hurt
Set latent dimensionality to 8 rather than the true value 10 (ablation)S3ID · Simulated LDS, 5% overlapunobserved instantaneous covariance correlation: 0.99 -> 0.89Hurt
Set latent dimensionality to 20 rather than the true value 10 (ablation)S3ID · Simulated LDS, 5% overlapunobserved instantaneous covariance correlation: 0.99 -> 0.97Hurt
Set latent dimensionality to 50 rather than the true value 10 (ablation)S3ID · Simulated LDS, 5% overlapunobserved instantaneous covariance correlation: 0.99 -> 0.96Hurt
Reduce cluster neuron sampling from 50% to 40% (ablation)Dynamics-agnostic S3ID · Spiking neural network, undersampled clustersinstantaneous covariance correlation: 0.97 -> 0.80Hurt
Reduce cluster neuron sampling from 40% to 30% (ablation)Dynamics-agnostic S3ID · Spiking neural network, undersampled clustersinstantaneous covariance correlation: 0.80 -> 0.32Hurt

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy