Brain Decoding for Brain Mapping: Definition, Heuristic Quantification, and Improvement of Interpretability in Group MEG Decoding

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Unknown venue

• Publication date

  2017-04-26

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Novel Noise Reduction Methods

  2019cited by this paper
• Neuroimaging Research: From Null-Hypothesis Falsification to Out-of-Sample Generalization

  2017influential reference
• Interpretability of Multivariate Brain Maps in Linear Brain Decoding: Definition, and Heuristic Quantification in Multivariate Analysis of MEG Time-Locked Effects

  2017cited by this paper
• Sparsity Is Better with Stability: Combining Accuracy and Stability for Model Selection in Brain Decoding

  2017cited by this paper
• Group-level spatio-temporal pattern recovery in MEG decoding using multi-task joint feature learning.

  2017cited by this paper
• An Introduction To The Event Related Potential Technique

  2016cited by this paper
• Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates

  2016cited by this paper
• Better-than-chance classification for signal detection.

  2016cited by this paper
• Classification With the Sparse Group Lasso

  2016cited by this paper
• Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas.

  2016cited by this paper
• Assessing and tuning brain decoders: Cross‐validation, caveats, and guidelines

  2016influential reference
• Interpretability in Linear Brain Decoding

  2016cited by this paper
• Physiological Plausibility Can Increase Reproducibility in Cognitive Neuroscience.

  2016cited by this paper
• The mythos of model interpretability

  2016cited by this paper
• Linear Maximum Margin Classifier for Learning from Uncertain Data

  2015cited by this paper
• Movie Genre Classification by Exploiting MEG Brain Signals

  2015cited by this paper
• Magnetoencephalography studies of action observation

  2015cited by this paper
• Resolving Ambiguities of MVPA Using Explicit Models of Representation.

  2015cited by this paper
• Listen to Yourself: The Medial Prefrontal Cortex Modulates Auditory Alpha Power During Speech Preparation.

  2015cited by this paper
• On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

  2015cited by this paper
• Learning interpretable classification rules using sequential rowsampling

  2015cited by this paper
• DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses

  2015cited by this paper
• The brain timewise: how timing shapes and supports brain function

  2015cited by this paper
• The Benefit of Multitask Representation Learning

  2015cited by this paper
• Causal interpretation rules for encoding and decoding models in neuroimaging

  2015cited by this paper
• A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives.

  2015influential reference
• The Kernel Two-Sample Test for Brain Networks

  2015cited by this paper
• Classification of spectral data using fused lasso logistic regression

  2015cited by this paper
• High-Dimensional Sparse Structured Input-Output Models, with Applications to GWAS

  2014cited by this paper
• A Universal and Efficient Method to Compute Maps from Image-Based Prediction Models

  2014cited by this paper
• Stability and Reproducibility in fMRI Analysis

  2014cited by this paper
• Graph-Based Inter-Subject Pattern Analysis of fMRI Data

  2014cited by this paper
• MEG decoding across subjects

  2014influential reference
• Dimensionality reduction for the analysis of brain oscillations

  2014cited by this paper
• Simultaneous Statistical Inference

  2014cited by this paper
• 100% Classification Accuracy Considered Harmful: The Normalized Information Transfer Factor Explains the Accuracy Paradox

  2014cited by this paper
• Randomized Structural Sparsity via Constrained Block Subsampling for Improved Sensitivity of Discriminative Voxel Identification

  2014cited by this paper
• How machine learning is shaping cognitive neuroimaging

  2014cited by this paper
• Practical Applications of Sparse Modeling

  2014cited by this paper
• Multi-Task Learning for Interpretation of Brain Decoding Models

  2014cited by this paper
• Bayesian multi-task learning for decoding multi-subject neuroimaging data

  2014influential reference
• On the interpretation of weight vectors of linear models in multivariate neuroimaging

  2014influential reference
• Learning the Structure for Structured Sparsity

  2014cited by this paper
• Parameter interpretation, regularization and source localization in multivariate linear models

  2014cited by this paper
• Multiple subject learning for inter-subject prediction

  2014cited by this paper
• What do differences between multi-voxel and univariate analysis mean? How subject-, voxel-, and trial-level variance impact fMRI analysis

  2014cited by this paper
• Introductory Lectures on Convex Optimization - A Basic Course

  2014cited by this paper
• Estimation Stability With Cross-Validation (ESCV)

  2013cited by this paper
• Fast Bootstrapping and Permutation Testing for Assessing Reproducibility and Interpretability of Multivariate fMRI Decoding Models

  2013influential reference
• User-centric Affective Video Tagging from MEG and Peripheral Physiological Responses

  2013cited by this paper
• Analyzing Local Structure in Kernel-Based Learning: Explanation, Complexity, and Reliability Assessment

  2013cited by this paper
• Interpretable whole-brain prediction analysis with GraphNet

  2013cited by this paper
• Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis

  2013cited by this paper
• Identifying Predictive Regions from fMRI with TV-L1 Prior

  2013cited by this paper
• Decoding affect in videos employing the MEG brain signal

  2013cited by this paper
• A Survey of L1 Regression

  2013cited by this paper
• Discrete Cosine Transform for MEG Signal Decoding

  2013cited by this paper
• MEG and EEG data analysis with MNE-Python

  2013cited by this paper
• Decoding magnetoencephalographic rhythmic activity using spectrospatial information

  2013influential reference
• Combining sparseness and smoothness improves classification accuracy and interpretability

  2012cited by this paper
• Model sparsity and brain pattern interpretation of classification models in neuroimaging

  2012influential reference
• Author manuscript, published in "International Conference on Machine Learning (2012)" Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering

  2012influential reference
• Magnetoencephalography: From SQUIDs to neuroscience: Neuroimage 20th Anniversary Special Edition

  2012cited by this paper
• Statistical testing in electrophysiological studies.

  2012cited by this paper
• A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms

  2012cited by this paper
• On the Interpretability of Linear Multivariate Neuroimaging Analyses : Filters , Patterns and their Relationship

  2012cited by this paper
• Mind reading with regularized multinomial logistic regression

  2012cited by this paper
• Making machine learning models interpretable

  2012cited by this paper
• DEAP: A Database for Emotion Analysis ;Using Physiological Signals

  2012cited by this paper
• Multivariate pattern analysis of fMRI: The early beginnings

  2012cited by this paper
• A Parametric Empirical Bayesian Framework for the EEG/MEG Inverse Problem: Generative Models for Multi-Subject and Multi-Modal Integration

  2011cited by this paper
• The Role of MEG in Unveiling Cognition

  2011cited by this paper
• Visual Interpretation of Kernel‐Based Prediction Models

  2011cited by this paper
• Decoding word and category-specific spatiotemporal representations from MEG and EEG

  2011cited by this paper
• Model-based feature construction for multivariate decoding

  2011cited by this paper
• Resting-state brain networks: literature review and clinical applications

  2011cited by this paper
• Mass univariate analysis of event-related brain potentials/fields II: Simulation studies.

  2011influential reference
• Mass univariate analysis of event-related brain potentials/fields I: a critical tutorial review.

  2011influential reference
• Encoding and decoding in fMRI

  2011cited by this paper
• Detecting stable distributed patterns of brain activation using Gini contrast

  2011cited by this paper
• A multi-task learning formulation for predicting disease progression

  2011cited by this paper
• Introduction to machine learning for brain imaging

  2011influential reference
• Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify

  2011influential reference
• Total Variation Regularization for fMRI-Based Prediction of Behavior

  2011cited by this paper
• A common, high-dimensional model of the representational space in human ventral temporal cortex.

  2011cited by this paper
• Brain-computer interfaces for communication and control

  2011cited by this paper
• Single-trial analysis and classification of ERP components - A tutorial

  2011cited by this paper
• A mutual information‐based metric for evaluation of fMRI data‐processing approaches

  2011cited by this paper
• Variable selection with error control: another look at stability selection

  2011cited by this paper
• Common component classification: What can we learn from machine learning?

  2011cited by this paper
• A Survey on Transfer Learning

  2010cited by this paper
• FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data

  2010influential reference
• Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization

  2010cited by this paper
• Simultaneous and selective inference: Current successes and future challenges

  2010cited by this paper
• The brain in time: insights from neuromagnetic recordings

  2010cited by this paper
• A Survey of Uncertain Data Algorithms and Applications

  2009cited by this paper
• Interpreting single trial data using groupwise regularisation

  2009influential reference
• Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization

  2009influential reference
• Structured Variable Selection with Sparsity-Inducing Norms

  2009influential reference
• Prediction and interpretation of distributed neural activity with sparse models

  2009cited by this paper

• Explainable artificial intelligence approaches for brain–computer interfaces: a review and design space

  2023cites this paper