Cover Image

From Observed Viability to Internal Predictive Approximation: A Single-Subject Latent-Space Analysis of Gait Dynamics Under Occlusal Constraint

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Raynal, Jacques, Slangen, Pierre, Raynal, Elsa, Margerit, Jacques
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Organization to Viability: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint
by: Raynal, Jacques, et al.
Published: (2026)

Observable Performance Does Not Fully Reflect System Organization: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint
by: Raynal, Jacques, et al.
Published: (2026)

From Performance to Viability: A Bootstrap Framework for Latent-Space Representation Learning in Adaptive Biological Systems
by: Raynal, Jacques, et al.
Published: (2026)

Meta-Dynamical State Space Models for Integrative Neural Data Analysis
by: Vermani, Ayesha, et al.
Published: (2024)

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

Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
by: Hu, Amber, et al.
Published: (2024)

Subject-Specific Analysis of Self-Initiated Attention Shifts from EEG with Controlled Internal and External Attention Conditions
by: Zeng, Yuwen, et al.
Published: (2026)

Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations
by: ElGazzar, Ahmed, et al.
Published: (2024)

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

Laya: A LeJEPA Approach to EEG via Latent Prediction over Reconstruction
by: Panchavati, Saarang, et al.
Published: (2026)

Neuron-Astrocyte Associative Memory
by: Kozachkov, Leo, et al.
Published: (2023)

Contraction Properties of the Global Workspace Primitive
by: Ennis, Michaela, et al.
Published: (2023)

Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matching
by: Rogalla, Nicole, et al.
Published: (2026)

Latent Diffusion for Neural Spiking Data
by: Kapoor, Jaivardhan, et al.
Published: (2024)

Early Pre-Stroke Detection via Wearable IMU-Based Gait Variability and Postural Drift Analysis
by: Chaipan, Chanakan, et al.
Published: (2026)

Brain-MGF: Multimodal Graph Fusion Network for EEG-fMRI Brain Connectivity Analysis Under Psilocybin
by: Yap, Sin-Yee, et al.
Published: (2025)

Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding
by: Nan, Mu, et al.
Published: (2026)

Bayesian Active Learning for Discrete Latent Variable Models
by: Jha, Aditi, et al.
Published: (2022)

Latent Representation Learning for Multimodal Brain Activity Translation
by: Afrasiyabi, Arman, et al.
Published: (2024)

Hierarchical Latent Structure Learning through Online Inference
by: Aitsahalia, Ines, et al.
Published: (2026)

Unified Generative Latent Representation for Functional Brain Graphs
by: Abulikemu, Subati, et al.
Published: (2025)

Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes
by: Rudravaram, Gaurav, et al.
Published: (2025)

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

A Formalizable Proof of the No-Supervenience Theorem: A Diagonal Limitation on the Viability of Physicalist Theories of Consciousness
by: Reason, Cathy M
Published: (2023)

REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
by: Ouahidi, Yassine El, et al.
Published: (2025)

Latent Variable Double Gaussian Process Model for Decoding Complex Neural Data
by: Ziaei, Navid, et al.
Published: (2024)

From Electrode to Global Brain: Integrating Multi- and Cross-Scale Brain Connections and Interactions Under Cross-Subject and Within-Subject Scenarios
by: Zhige, Chen, et al.
Published: (2024)

Sensitivity analysis enlightens effects of connectivity in a Neural Mass Model under Control-Target mode
by: Vallet, Anaïs, et al.
Published: (2025)

DAGGER: Gradient-Free Construction of Transiently Amplifying Networks under Hard Connectivity Constraints
by: Ferguson, James C.
Published: (2026)

From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production
by: Zhang, Mingfang, et al.
Published: (2025)

Beyond Neural Activity Prediction: Probing Latent Representations in Mouse V1 Digital Twins
by: Lima, Adriano, et al.
Published: (2026)

Online Generalised Predictive Coding
by: Bazargani, Mehran H. Z., et al.
Published: (2026)

Small brains but big challenges: white matter tractography in early life samples
by: Dubois, Jessica, et al.
Published: (2025)

Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis
by: Zhu, Yu, et al.
Published: (2024)

Discovering Dynamic Effective Connectome of Brain with Bayesian Dynamic DAG Learning
by: Bagheri, Abdolmahdi, et al.
Published: (2023)

Prediction horizon shapes representations in predictive learning
by: Ratzon, Aviv, et al.
Published: (2025)

Exploratory Experience Shapes the Geometry of Predictive Representations
by: Shilova, Kseniia, et al.
Published: (2026)

Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration
by: Zheng, Xiaoping, et al.
Published: (2023)

Relaxing in Warped Spaces: Generalized Hierarchical and Modular Dynamical Neural Network
by: Tsutsumi, Kazuyoshi, et al.
Published: (2026)

ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding
by: Piriyasatit, Suchanuch, et al.
Published: (2025)