The book Statistical Parametric Mapping: The Analysis of Functional Brain Images (2007) provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, "Statistical Parametric Mapping" provides a widely accepted conceptual framework which allows treatment of all these different modalities. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. The material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscie...
Predictive coding postulates that we make (top-down) predictions about the world and that we continu...
AbstractThe MEG/EEG inverse problem is ill-posed, giving different source reconstructions depending ...
Bayesian inference has taken FMRI methods research into areas that frequentist statistics have strug...
The book Statistical Parametric Mapping: The Analysis of Functional Brain Images (2007) provides the...
The book Statistical Parametric Mapping: The Analysis of Functional Brain Images (2007) provides the...
In an age where the amount of data collected from brain imaging is increasing constantly, it is of c...
Typically in neuroimaging we are looking to extract some pertinent information from imperfect, noisy...
A contextual segmentation technique to detect brain activation from functional brain images is prese...
This paper reviews hierarchical observation models, used in functional neuroimaging, in a Bayesian l...
Predictive coding postulates that we make (top-down) predictions about the world and that we continu...
Functional magnetic resonance imaging (fMRI), a noninvasive neuroimaging method that provides an ind...
models for functional magnetic resonance imaging data analysis Linlin Zhang,1 Michele Guindani2 and ...
In the last few decades there have been major advances in the technology of function brain imaging, ...
Abstract: Functional magnetic resonance imaging (fMRI) has led to enormous progress in human brain m...
Predictive coding postulates that we make (top-down) predictions about the world and that we continu...
Predictive coding postulates that we make (top-down) predictions about the world and that we continu...
AbstractThe MEG/EEG inverse problem is ill-posed, giving different source reconstructions depending ...
Bayesian inference has taken FMRI methods research into areas that frequentist statistics have strug...
The book Statistical Parametric Mapping: The Analysis of Functional Brain Images (2007) provides the...
The book Statistical Parametric Mapping: The Analysis of Functional Brain Images (2007) provides the...
In an age where the amount of data collected from brain imaging is increasing constantly, it is of c...
Typically in neuroimaging we are looking to extract some pertinent information from imperfect, noisy...
A contextual segmentation technique to detect brain activation from functional brain images is prese...
This paper reviews hierarchical observation models, used in functional neuroimaging, in a Bayesian l...
Predictive coding postulates that we make (top-down) predictions about the world and that we continu...
Functional magnetic resonance imaging (fMRI), a noninvasive neuroimaging method that provides an ind...
models for functional magnetic resonance imaging data analysis Linlin Zhang,1 Michele Guindani2 and ...
In the last few decades there have been major advances in the technology of function brain imaging, ...
Abstract: Functional magnetic resonance imaging (fMRI) has led to enormous progress in human brain m...
Predictive coding postulates that we make (top-down) predictions about the world and that we continu...
Predictive coding postulates that we make (top-down) predictions about the world and that we continu...
AbstractThe MEG/EEG inverse problem is ill-posed, giving different source reconstructions depending ...
Bayesian inference has taken FMRI methods research into areas that frequentist statistics have strug...