Research map / Probabilistic and scientific modeling / Dynamical systems
Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers
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.
Closest papers by meaning
- Bayesian Bi-clustering of Neural Spiking Activity with Latent Structures (ICLR 2024 · similarity 0.92)
- Neural Clustering Processes (ICML 2020 · similarity 0.87)
- Fitting summary statistics of neural data with a differentiable spiking network simulator (NeurIPS 2021 · similarity 0.86)
- Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit (NeurIPS 2021 · similarity 0.86)
- Learning dynamic representations of the functional connectome in neurobiological networks (ICLR 2024 · similarity 0.84)
- CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations (ICLR 2025 · similarity 0.84)
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.