Image de couverture de livre

Multilevel Monte Carlo for a class of Partially Observed Processes in Neuroscience

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Maama, Mohamed, Jasra, Ajay, Kamatani, Kengo
Format:	Preprint
Publié:	2023
Sujets:	Neurons and Cognition Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Paradigm Shift in Human Neuroscience Research: Progress, Prospects, and a Proof of Concept for Population Neuroscience
par: Zhou, Zi-Xuan, et autres
Publié: (2022)

Parameter Estimation for Partially Observed McKean-Vlasov Diffusions
par: Jasra, Ajay, et autres
Publié: (2024)

Bayesian Inference for Non-Synchronously Observed Diffusions
par: Jasra, Ajay, et autres
Publié: (2025)

Reconstruction of Partial Dissimilarity Matrices for Cognitive Neuroscience
par: Moerel, Denise, et autres
Publié: (2025)

Validation and Comparison of Non-Stationary Cognitive Models: A Diffusion Model Application
par: Schumacher, Lukas, et autres
Publié: (2023)

Spectral Topological Data Analysis of Brain Signals
par: El-Yaagoubi, Anass B., et autres
Publié: (2023)

Model-Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn't the Right One
par: Avitan, Itamar, et autres
Publié: (2025)

A Generalized Framework of Antisymmetric Polyspectral Indices for Identifying High-Order Neural Interactions
par: Basti, Alessio, et autres
Publié: (2026)

Projected Normal Distribution: Moment Approximations and Generalizations
par: Herrera-Esposito, Daniel, et autres
Publié: (2025)

NEST: Neural Estimation by Sequential Testing
par: Bruin, Sjoerd, et autres
Publié: (2024)

Multiscale Comparative Connectomics
par: Gopalakrishnan, Vivek, et autres
Publié: (2020)

Topological Data Analysis for Multivariate Time Series Data
par: Bourakna, Anass El Yaagoubi, et autres
Publié: (2022)

Multi-object Data Integration in the Study of Primary Progressive Aphasia
par: Gutierrez, Rene, et autres
Publié: (2024)

A Causal Formulation of Spike-Wave Duality
par: Jalaldoust, Kasra, et autres
Publié: (2025)

Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity
par: El-Yaagoubi, Anass B., et autres
Publié: (2024)

How can methods for classifying and clustering trajectories be used for prevention trials? An example in Alzheimer's disease area
par: Bougel, Céline, et autres
Publié: (2025)

Multi-faceted Neuroimaging Data Integration via Analysis of Subspaces
par: Ackerman, Andrew, et autres
Publié: (2024)

Tests for partial correlation between repeatedly observed nonstationary nonlinear timeseries
par: Harris, Kenneth D., et autres
Publié: (2021)

Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience
par: He, Zhonghao, et autres
Publié: (2024)

Statistical Tools for Frequency Response Functions from Posture Control Experiments: Estimation of Probability of a Sample and Comparison Between Groups of Unpaired Samples
par: Lippi, Vittorio
Publié: (2025)

Stochastic Dynamics and Probability Analysis for a Generalized Epidemic Model with Environmental Noise
par: Boukanjime, Brahim, et autres
Publié: (2024)

Attention for Causal Relationship Discovery from Biological Neural Dynamics
par: Lu, Ziyu, et autres
Publié: (2023)

The Topology and Geometry of Neural Representations
par: Lin, Baihan, et autres
Publié: (2023)

Feature leakage and the identifiability of direct-dependency entropy models of neural activity
par: Safaai, Houman, et autres
Publié: (2026)

Pop-out vs. Glue: A Study on the pre-attentive and focused attention stages in Visual Search tasks
par: Beukelman, Hendrik, et autres
Publié: (2024)

Topologically Invariant Permutation Test
par: Dakurah, Sixtus
Publié: (2025)

Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval
par: Goerttler, Stephan, et autres
Publié: (2024)

Dyadic Neural Dynamics: Extending Representation Learning to Social Neuroscience
par: Glushanina, Maria, et autres
Publié: (2025)

Understanding Decision-Making Across the Lifespan Needs Theoretical Neuroscience
par: Ryan, Michael B., et autres
Publié: (2026)

Real-Time Machine Learning Strategies for a New Kind of Neuroscience Experiments
par: Vermani, Ayesha, et autres
Publié: (2024)

Extracting the Multiscale Causal Backbone of Brain Dynamics
par: D'Acunto, Gabriele, et autres
Publié: (2023)

Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based vector-on-matrix regression
par: Lu, Tong, et autres
Publié: (2023)

SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia
par: Fernandez, Kianté, et autres
Publié: (2024)

Stable Filtering for Efficient Dimensionality Reduction of Streaming Manifold Data
par: Bertrand, Nicholas P., et autres
Publié: (2026)

Robust State-space Reconstruction of Brain Dynamics via Bootstrap Monte Carlo SSA
par: Wiafe, Sir-Lord, et autres
Publié: (2025)

Definition of Cybernetical Neuroscience
par: Fradkov, Alexander
Publié: (2024)

Antithetic Multilevel Methods for Elliptic and Hypo-Elliptic Diffusions with Applications
par: Iguchi, Yuga, et autres
Publié: (2024)

Optimal Calibration of the endpoint-corrected Hilbert Transform
par: Osmers, Eike, et autres
Publié: (2026)

Functional Linear Non-Gaussian Acyclic Model for Causal Discovery
par: Yang, Tian-Le, et autres
Publié: (2024)

Playing With Neuroscience: Past, Present and Future of Neuroimaging and Games
par: Burelli, Paolo, et autres
Publié: (2024)