Research map / Probabilistic and scientific modeling / Dynamical systems
Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace LFADS with PLNDE for latent inference | latent neural dynamics model · Synthetic spiral, high firing rate, 8 trials | median R2 of latent trajectories: 0.41 -> 0.93 | Helped |
| replace PLDS with PLNDE for latent inference | latent neural dynamics model · Synthetic spiral, high firing rate, 8 trials | median R2 of latent trajectories: 0.05 -> 0.93 | Helped |
| PLNDE versus LFADS and PLDS at low mean firing rate (about 1.12 spikes/s) | latent neural dynamics model · Synthetic spiral, low firing rate | R2 of latent trajectories and firing rates | Helped |
| PLNDE versus LFADS and PLDS on FitzHugh-Nagumo | latent neural dynamics model · FitzHugh-Nagumo synthetic | R2 across numbers of training trials | Helped |
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