Research map / Probabilistic and scientific modeling / Dynamical systems
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE
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 |
|---|---|---|---|
| add label prior and identifiable structure (pi-VAE vs VAE) (ablation) | Poisson VAE · Monkey reaching PMd | mean marginal log-likelihood: -123.4 -> -123 | Helped |
| add label prior (pi-VAE vs VAE) (ablation) | Poisson VAE · Rat hippocampus CA1 | mean log marginal likelihood: -17.9 -> -17.7 | Helped |
| use pi-VAE latent decoder instead of tuning curve model | reaching direction decoding · Monkey reaching | decoding accuracy: 47% -> 61% | Helped |
| use pi-VAE instead of place-field model | position decoding · Rat hippocampus | median absolute error: 15cm -> 12cm | Helped |
| use pi-VAE instead of tuning curve model late in reaching (max speed) | reaching direction decoding · Monkey reaching | decoding accuracy | No clear effect |
| infer latent without label prior at inference (ablation) | pi-VAE · Synthetic data latent recovery | qualitative latent recovery | No clear effect |
Closest papers by meaning
- Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data (ICLR 2024 · similarity 0.89)
- Poisson Variational Autoencoder (NeurIPS 2024 · similarity 0.88)
- Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis (AAAI 2025 · similarity 0.88)
- Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors (NeurIPS 2025 · similarity 0.87)
- Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics (NeurIPS 2024 · similarity 0.86)
- Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data (ICLR 2024 · similarity 0.86)
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.