Cover Image

A Disentangled Low-Rank RNN Framework for Uncovering Neural Connectivity and Dynamics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Chengrui, Wang, Yunmiao, Wang, Yule, Li, Weihan, Jaeger, Dieter, Wu, Anqi
Format:	Preprint
Published:	2025
Subjects:	Neurons and Cognition Computational Engineering, Finance, and Science Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement
by: Li, Chengrui, et al.
Published: (2025)

Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
by: Wang, Yule, et al.
Published: (2024)

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)

Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion
by: Wang, Yule, et al.
Published: (2025)

Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
by: Wang, Yule, et al.
Published: (2023)

Synthetic Data for Discriminating Serotonergic Neurons using Convolutional Neural Networks
by: Corradetti, Daniele, et al.
Published: (2024)

Identification of Epileptic Spasms (ESES) Phases Using EEG Signals: A Vision Transformer Approach
by: Gong, Wei, et al.
Published: (2024)

Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis
by: Solana, Adrià, et al.
Published: (2024)

Exploring EEG Responses during Observation of Actions Performed by Human Actor and Humanoid Robot
by: Nguyen, Anh T., et al.
Published: (2025)

Accurate identification of communication between multiple interacting neural populations
by: Liu, Belle, et al.
Published: (2025)

Deep Learning Models for Atypical Serotonergic Cells Recognition
by: Corradetti, Daniele, et al.
Published: (2024)

BrainMass: Advancing Brain Network Analysis for Diagnosis with Large-scale Self-Supervised Learning
by: Yang, Yanwu, et al.
Published: (2024)

Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns
by: Hou, Jixin, et al.
Published: (2024)

Solving Inverse Problem for Multi-armed Bandits via Convex Optimization
by: Zhu, Hao, et al.
Published: (2025)

Inverse Reinforcement Learning via Convex Optimization
by: Zhu, Hao, et al.
Published: (2025)

Personalized Transcranial Electrical Stimulation: A Review of Computational Modeling and Optimization
by: Wang, Mo, et al.
Published: (2025)

The Principle of Maximum Heterogeneity Optimises Productivity in Distributed Production Systems Across Biology, Economics, and Computing
by: Artis, Guillhem, et al.
Published: (2026)

Plastic Arbor: a modern simulation framework for synaptic plasticity -- from single synapses to networks of morphological neurons
by: Luboeinski, Jannik, et al.
Published: (2024)

A Differentiable Approach to Multi-scale Brain Modeling
by: Wang, Chaoming, et al.
Published: (2024)

From Brain Models to Executable Digital Twins: Execution Semantics and Neuro-Neuromorphic Systems
by: Muzy, Alexandre
Published: (2026)

Predicting Neuromodulation Outcome for Parkinson's Disease with Generative Virtual Brain Model
by: Du, Siyuan, et al.
Published: (2026)

A hitchhiker's guide to Poisson gradient estimation
by: Ibrahim, Michael, et al.
Published: (2026)

Identifying Connectivity Distributions from Neural Dynamics Using Flows
by: Kim, Timothy Doyeon, et al.
Published: (2026)

Topological Cycle Graph Attention Network for Brain Functional Connectivity
by: Huang, Jinghan, et al.
Published: (2024)

Brain-Like Replay Naturally Emerges in Reinforcement Learning Agents
by: Wang, Jiyi, et al.
Published: (2024)

BACE: Behavior-Adaptive Connectivity Estimation for Interpretable Graphs of Neural Dynamics
by: Asadi, Mehrnaz, et al.
Published: (2025)

Learning Task-Agnostic Motifs to Capture the Continuous Nature of Animal Behavior
by: Wang, Jiyi, et al.
Published: (2025)

GazeBehavior Annotation Toolkit (GBAT): AI-powered toolkit for automatic annotation of egocentric eye-tracking and video data of child-caregiver interaction
by: Baig, Iba, et al.
Published: (2026)

Leakage and Second-Order Dynamics Improve Hippocampal RNN Replay
by: Casco-Rodriguez, Josue, et al.
Published: (2026)

DCHO: A Decomposition-Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications
by: Li, Weibin, et al.
Published: (2025)

Cortical Dynamics of Neural-Connectivity Fields
by: Cooray, Gerald K., et al.
Published: (2024)

Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes
by: McCart, Jonathan D., et al.
Published: (2024)

Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks
by: Qu, Gang, et al.
Published: (2024)

SynapsNet: Enhancing Neuronal Population Dynamics Modeling via Learning Functional Connectivity
by: Delavari, Parsa, et al.
Published: (2024)

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
by: Yu, Chengting, et al.
Published: (2025)

Training Large Neural Networks With Low-Dimensional Error Feedback
by: Hanut, Maher, et al.
Published: (2025)

Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain
by: Choi, Jungwon, et al.
Published: (2024)

STNAGNN: Data-driven Spatio-temporal Brain Connectivity beyond FC
by: Wang, Jiyao, et al.
Published: (2024)

Langevin Flows for Modeling Neural Latent Dynamics
by: Song, Yue, et al.
Published: (2025)