Research map / Time series / Causal and generative time series
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories
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 changed | Where | Measured | Effect |
|---|---|---|---|
| Use proposed model with contractional term instead of locally linear model without it (ablation) | Dynamics model · Decision-making, c=1 prediction | prediction error: 0.244 -> 0.002 | Helped |
| Locally linear model vs proposed on training error | Locally linear model · Decision-making training | training error: 2.04E-08 vs 4.06E-08 | No clear effect |
| Train on low/moderate coherence only, test at higher coherence | Proposed model · Decision-making | bifurcation prediction | Helped |
| Linear dynamical system instead of nonlinear model | V1 latent dynamics · V1 held-out direction | prediction quality | Hurt |
| Delay embedding of v(t) as (v(t), v(t-10)) with unobserved w | FitzHugh-Nagumo model · FHN | long-term prediction | Helped |
Closest papers by meaning
- Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics (NeurIPS 2024 · similarity 0.88)
- Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction (NeurIPS 2024 · similarity 0.88)
- Identifying latent state transitions in non-linear dynamical systems (ICLR 2025 · similarity 0.88)
- Inference of Neural Dynamics Using Switching Recurrent Neural Networks (NeurIPS 2024 · similarity 0.88)
- Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems (NeurIPS 2024 · similarity 0.88)
- Inferring stochastic low-rank recurrent neural networks from neural data (NeurIPS 2024 · similarity 0.87)
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.