The Effect of Prior Parameters on Standardized Kalman Filter-Based EEG Source Localization
Fuente:
arXiv
Saved in:
| Main Authors: | Prasikala, Dilshanie, Lahtinen, Joonas, Koulouri, Alexandra, Pursiainen, Sampsa |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tracking EEG Thalamic and Cortical Focal Brain Activity using Standardized Kalman Filtering with Kinematics Modeling
by: Piispa, Veikka, et al.
Published: (2025)
by: Piispa, Veikka, et al.
Published: (2025)
Forward--Inverse Interplay in FEM-Based EEG Source Imaging: Distributional Signatures of Advanced Source Models and Inverse Solvers
by: Söderholm, Santtu, et al.
Published: (2026)
by: Söderholm, Santtu, et al.
Published: (2026)
Overview of Bayesian Solvers in EEG Distributed Source Models: Prior Selection, Algorithmic Implementation, and Depth Bias Reduction
by: Lahtinen, Joonas, et al.
Published: (2026)
by: Lahtinen, Joonas, et al.
Published: (2026)
Stable EEG Source Estimation for Standardized Kalman Filter using Change Rate Tracking
by: Lahtinen, Joonas
Published: (2025)
by: Lahtinen, Joonas
Published: (2025)
A Complete-Electrode-Model-Based Forward Approach for Transcranial Temporal Interference Stimulation with Linearization: A Numerical Simulation Study
by: Söderholm, Santtu, et al.
Published: (2025)
by: Söderholm, Santtu, et al.
Published: (2025)
Adaptive Superresolution in Deconvolution of Sparse Peaks
by: Koulouri, Alexandra, et al.
Published: (2020)
by: Koulouri, Alexandra, et al.
Published: (2020)
A Coupled Diffusion Approximation for Spatiotemporal Hemodynamic Response and Deoxygenated Blood Volume Fraction in Microcirculation
by: Samavaki, Maryam, et al.
Published: (2024)
by: Samavaki, Maryam, et al.
Published: (2024)
The Ensemble Kalman Filter for Dynamic Inverse Problems
by: Weissmann, Simon, et al.
Published: (2024)
by: Weissmann, Simon, et al.
Published: (2024)
Computation-Aware Kalman Filtering and Smoothing
by: Pförtner, Marvin, et al.
Published: (2024)
by: Pförtner, Marvin, et al.
Published: (2024)
Application of Kalman Filter in Stochastic Differential Equations
by: Bao, Wencheng, et al.
Published: (2024)
by: Bao, Wencheng, et al.
Published: (2024)
Ensemble Kalman Filters with Resampling
by: Ghattas, Omar Al, et al.
Published: (2023)
by: Ghattas, Omar Al, et al.
Published: (2023)
Anomaly distinguishability in an asteroid analogue using quasi-monostatic experimental radar measurements
by: Yusuf, Yusuf Oluwatoki, et al.
Published: (2024)
by: Yusuf, Yusuf Oluwatoki, et al.
Published: (2024)
Latent Autoencoder Ensemble Kalman Filter for Nonlinear Data assimilation
by: Tong, Xin T., et al.
Published: (2026)
by: Tong, Xin T., et al.
Published: (2026)
Accuracy of the Ensemble Kalman Filter in the Near-Linear Setting
by: Calvello, Edoardo, et al.
Published: (2024)
by: Calvello, Edoardo, et al.
Published: (2024)
On Bias and Its Reduction via Standardization in Discretized Electromagnetic Source Localization Problems
by: Lahtinen, Joonas
Published: (2024)
by: Lahtinen, Joonas
Published: (2024)
Parameter Estimation for the Reduced Fracture Model via a Direct Filter Method
by: Huynh, Phuoc Toan, et al.
Published: (2024)
by: Huynh, Phuoc Toan, et al.
Published: (2024)
Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods
by: van Beek, Jan Willem, et al.
Published: (2025)
by: van Beek, Jan Willem, et al.
Published: (2025)
An adaptive hierarchical ensemble Kalman filter with reduced basis models
by: Silva, Francesco A. B., et al.
Published: (2024)
by: Silva, Francesco A. B., et al.
Published: (2024)
Ensemble Kalman Sampler: mean-field limit and convergence analysis
by: Ding, Zhiyan, et al.
Published: (2019)
by: Ding, Zhiyan, et al.
Published: (2019)
A New Look at the Ensemble Kalman Filter for Inverse Problems: Duality, Non-Asymptotic Analysis and Convergence Acceleration
by: Krishnanunni, C G, et al.
Published: (2026)
by: Krishnanunni, C G, et al.
Published: (2026)
Single-ensemble multilevel Monte Carlo for discrete ensemble Kalman methods
by: Bouillon, Arne, et al.
Published: (2024)
by: Bouillon, Arne, et al.
Published: (2024)
Ensemble Kalman Inversion for nonlinear problems: weights, consistency, and variance bounds
by: Ding, Zhiyan, et al.
Published: (2020)
by: Ding, Zhiyan, et al.
Published: (2020)
Bayesian Model Parameter Learning in Linear Inverse Problems: Application in EEG Focal Source Imaging
by: Koulouri, Alexandra, et al.
Published: (2025)
by: Koulouri, Alexandra, et al.
Published: (2025)
Optimal Local Error Estimates for Finite Element Methods with Measure-Valued Sources
by: Gao, Huadong, et al.
Published: (2026)
by: Gao, Huadong, et al.
Published: (2026)
Joint State-Parameter Estimation for the Reduced Fracture Model via the United Filter
by: Huynh, Toan, et al.
Published: (2025)
by: Huynh, Toan, et al.
Published: (2025)
Comparison of Trefftz-Based PINNs and Standard PINNs Focusing on Structure Preservation
by: Koyamada, Koji
Published: (2026)
by: Koyamada, Koji
Published: (2026)
Low-rank-assisted inverse medium scattering: Lipschiz stability and ensemble Kalman filter
by: Meng, Shixu
Published: (2026)
by: Meng, Shixu
Published: (2026)
Ensemble Kalman Inversion: mean-field limit and convergence analysis
by: Ding, Zhiyan, et al.
Published: (2019)
by: Ding, Zhiyan, et al.
Published: (2019)
Weighted Group Lasso for a static EEG problem
by: Elvetun, Ole Løseth, et al.
Published: (2025)
by: Elvetun, Ole Løseth, et al.
Published: (2025)
The analytical subtraction approach for solving the forward problem in EEG
by: Beltrachini, Leandro
Published: (2019)
by: Beltrachini, Leandro
Published: (2019)
Ensemble Kalman inversion with non-smooth regularization
by: Weissmann, Simon
Published: (2026)
by: Weissmann, Simon
Published: (2026)
Reinforcement Learning-Based Filters for Convection-Dominated Flows: Reference-Free and Reference-Guided Training
by: Ivagnes, Anna, et al.
Published: (2026)
by: Ivagnes, Anna, et al.
Published: (2026)
Sampling error mitigation through spectrum smoothing: first experiments with ensemble transform Kalman filters and Lorenz models
by: Choi, Bosu, et al.
Published: (2024)
by: Choi, Bosu, et al.
Published: (2024)
Rapid Identification of Moving Contaminant Sources Through Physics-Based Modelling
by: Mattuschka, Marco, et al.
Published: (2026)
by: Mattuschka, Marco, et al.
Published: (2026)
Non-Asymptotic Analysis of Ensemble Kalman Updates: Effective Dimension and Localization
by: Ghattas, Omar Al, et al.
Published: (2022)
by: Ghattas, Omar Al, et al.
Published: (2022)
Ensemble Kalman Methods: A Mean Field Perspective
by: Calvello, Edoardo, et al.
Published: (2022)
by: Calvello, Edoardo, et al.
Published: (2022)
Data-Driven Filtering of the Spherical Harmonics Method
by: Plumridge, Benjamin, et al.
Published: (2025)
by: Plumridge, Benjamin, et al.
Published: (2025)
Filtering the Tau method with Frobenius-Padé Approximants
by: de Matos, João Carrilho, et al.
Published: (2017)
by: de Matos, João Carrilho, et al.
Published: (2017)
Local Geometry of Least Squares for Unmixing Signals with Parameter-Dependent Dictionaries
by: Michelena, Santos, et al.
Published: (2026)
by: Michelena, Santos, et al.
Published: (2026)
UltimateKalman: Flexible Kalman Filtering and Smoothing Using Orthogonal Transformations
by: Toledo, Sivan
Published: (2022)
by: Toledo, Sivan
Published: (2022)
Similar Items
-
Tracking EEG Thalamic and Cortical Focal Brain Activity using Standardized Kalman Filtering with Kinematics Modeling
by: Piispa, Veikka, et al.
Published: (2025) -
Forward--Inverse Interplay in FEM-Based EEG Source Imaging: Distributional Signatures of Advanced Source Models and Inverse Solvers
by: Söderholm, Santtu, et al.
Published: (2026) -
Overview of Bayesian Solvers in EEG Distributed Source Models: Prior Selection, Algorithmic Implementation, and Depth Bias Reduction
by: Lahtinen, Joonas, et al.
Published: (2026) -
Stable EEG Source Estimation for Standardized Kalman Filter using Change Rate Tracking
by: Lahtinen, Joonas
Published: (2025) -
A Complete-Electrode-Model-Based Forward Approach for Transcranial Temporal Interference Stimulation with Linearization: A Numerical Simulation Study
by: Söderholm, Santtu, et al.
Published: (2025)