Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yule, Wu, Zijing, Li, Chengrui, Wu, Anqi |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
by: Li, Chengrui, et al.
Published: (2024)
by: Li, Chengrui, et al.
Published: (2024)
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
by: Li, Weihan, et al.
Published: (2024)
by: Li, Weihan, et al.
Published: (2024)
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
by: Wang, Yule, et al.
Published: (2024)
by: Wang, Yule, et al.
Published: (2024)
Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion
by: Wang, Yule, et al.
Published: (2025)
by: Wang, Yule, et al.
Published: (2025)
A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement
by: Li, Chengrui, et al.
Published: (2025)
by: Li, Chengrui, et al.
Published: (2025)
A Disentangled Low-Rank RNN Framework for Uncovering Neural Connectivity and Dynamics
by: Li, Chengrui, et al.
Published: (2025)
by: Li, Chengrui, et al.
Published: (2025)
A hitchhiker's guide to Poisson gradient estimation
by: Ibrahim, Michael, et al.
Published: (2026)
by: Ibrahim, Michael, et al.
Published: (2026)
Learning Task-Agnostic Motifs to Capture the Continuous Nature of Animal Behavior
by: Wang, Jiyi, et al.
Published: (2025)
by: Wang, Jiyi, et al.
Published: (2025)
Langevin Flows for Modeling Neural Latent Dynamics
by: Song, Yue, et al.
Published: (2025)
by: Song, Yue, et al.
Published: (2025)
Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning
by: Wang, Shuqiang, et al.
Published: (2024)
by: Wang, Shuqiang, et al.
Published: (2024)
Latent Diffusion for Neural Spiking Data
by: Kapoor, Jaivardhan, et al.
Published: (2024)
by: Kapoor, Jaivardhan, et al.
Published: (2024)
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
by: Hu, Amber, et al.
Published: (2024)
by: Hu, Amber, et al.
Published: (2024)
Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations
by: ElGazzar, Ahmed, et al.
Published: (2024)
by: ElGazzar, Ahmed, et al.
Published: (2024)
Hierarchical Latent Structure Learning through Online Inference
by: Aitsahalia, Ines, et al.
Published: (2026)
by: Aitsahalia, Ines, et al.
Published: (2026)
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes
by: McCart, Jonathan D., et al.
Published: (2024)
by: McCart, Jonathan D., et al.
Published: (2024)
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications
by: Wang, Pengfei, et al.
Published: (2024)
by: Wang, Pengfei, et al.
Published: (2024)
Topological Cycle Graph Attention Network for Brain Functional Connectivity
by: Huang, Jinghan, et al.
Published: (2024)
by: Huang, Jinghan, et al.
Published: (2024)
A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior
by: Re, Francesco Ignazio, et al.
Published: (2025)
by: Re, Francesco Ignazio, et al.
Published: (2025)
STNAGNN: Data-driven Spatio-temporal Brain Connectivity beyond FC
by: Wang, Jiyao, et al.
Published: (2024)
by: Wang, Jiyao, et al.
Published: (2024)
Bayesian Active Learning for Discrete Latent Variable Models
by: Jha, Aditi, et al.
Published: (2022)
by: Jha, Aditi, et al.
Published: (2022)
ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding
by: Piriyasatit, Suchanuch, et al.
Published: (2025)
by: Piriyasatit, Suchanuch, et al.
Published: (2025)
Latent Variable Double Gaussian Process Model for Decoding Complex Neural Data
by: Ziaei, Navid, et al.
Published: (2024)
by: Ziaei, Navid, et al.
Published: (2024)
REALM: Retrospective Encoder Alignment for LFP Modeling
by: Wu, Peicheng, et al.
Published: (2026)
by: Wu, Peicheng, et al.
Published: (2026)
From Observed Viability to Internal Predictive Approximation: A Single-Subject Latent-Space Analysis of Gait Dynamics Under Occlusal Constraint
by: Raynal, Jacques, et al.
Published: (2026)
by: Raynal, Jacques, et al.
Published: (2026)
NeuroLIP: Interpretable and Fair Cross-Modal Alignment of fMRI and Phenotypic Text
by: Yang, Yanting, et al.
Published: (2025)
by: Yang, Yanting, et al.
Published: (2025)
HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks
by: Sadeghian, Sadaf, et al.
Published: (2024)
by: Sadeghian, Sadaf, et al.
Published: (2024)
Latent Representation Learning for Multimodal Brain Activity Translation
by: Afrasiyabi, Arman, et al.
Published: (2024)
by: Afrasiyabi, Arman, et al.
Published: (2024)
Unified Generative Latent Representation for Functional Brain Graphs
by: Abulikemu, Subati, et al.
Published: (2025)
by: Abulikemu, Subati, et al.
Published: (2025)
Does Feedback Alignment Work at Biological Timescales?
by: Bacvanski, Marc Gong, et al.
Published: (2025)
by: Bacvanski, Marc Gong, et al.
Published: (2025)
Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment
by: Chen, Ruiqi, et al.
Published: (2025)
by: Chen, Ruiqi, et al.
Published: (2025)
NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models
by: Chen, Chi-Sheng
Published: (2024)
by: Chen, Chi-Sheng
Published: (2024)
Modeling Neural Activity with Conditionally Linear Dynamical Systems
by: Geadah, Victor, et al.
Published: (2025)
by: Geadah, Victor, et al.
Published: (2025)
Laya: A LeJEPA Approach to EEG via Latent Prediction over Reconstruction
by: Panchavati, Saarang, et al.
Published: (2026)
by: Panchavati, Saarang, et al.
Published: (2026)
Estimating Neural Representation Alignment from Sparsely Sampled Inputs and Features
by: Chun, Chanwoo, et al.
Published: (2025)
by: Chun, Chanwoo, et al.
Published: (2025)
Memory-Amortized Inference: A Topological Unification of Search, Closure, and Structure
by: Li, Xin
Published: (2025)
by: Li, Xin
Published: (2025)
Nonlinear Dynamical Modeling of Human Intracranial Brain Activity with Flexible Inference
by: Vaziri, Kiarash, et al.
Published: (2025)
by: Vaziri, Kiarash, et al.
Published: (2025)
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
by: Vermani, Ayesha, et al.
Published: (2024)
by: Vermani, Ayesha, et al.
Published: (2024)
A Foundational Brain Dynamics Model via Stochastic Optimal Control
by: Park, Joonhyeong, et al.
Published: (2025)
by: Park, Joonhyeong, et al.
Published: (2025)
SynapsNet: Enhancing Neuronal Population Dynamics Modeling via Learning Functional Connectivity
by: Delavari, Parsa, et al.
Published: (2024)
by: Delavari, Parsa, et al.
Published: (2024)
Supervised Training Rapidly Degrades Early Visual Cortex Alignment Across Biologically Plausible Learning Rules
by: Leutenegger, Nils
Published: (2026)
by: Leutenegger, Nils
Published: (2026)
Similar Items
-
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
by: Li, Chengrui, et al.
Published: (2024) -
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
by: Li, Weihan, et al.
Published: (2024) -
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
by: Wang, Yule, et al.
Published: (2024) -
Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion
by: Wang, Yule, et al.
Published: (2025) -
A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement
by: Li, Chengrui, et al.
Published: (2025)