Federico De Martino
Orcid: 0000-0002-0352-0648
According to our database1,
Federico De Martino
authored at least 24 papers
between 2007 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Voxelwise encoding models of body stimuli reveal a representational gradient from low-level visual features to postural features in occipitotemporal cortex.
NeuroImage, August, 2023
2021
Cross-validation and permutations in MVPA: Validity of permutation strategies and power of cross-validation schemes.
NeuroImage, 2021
2019
Methods for computing the maximum performance of computational models of fMRI responses.
PLoS Comput. Biol., 2019
2018
Sensitivity and specificity considerations for fMRI encoding, decoding, and mapping of auditory cortex at ultra-high field.
NeuroImage, 2018
NeuroImage, 2018
High resolution data analysis strategies for mesoscale human functional MRI at 7 and 9.4 T.
NeuroImage, 2018
NeuroImage, 2018
Cortical processing of pitch: Model-based encoding and decoding of auditory fMRI responses to real-life sounds.
NeuroImage, 2018
2016
2015
Representation of pitch chroma by multi-peak spectral tuning in human auditory cortex.
NeuroImage, 2015
2014
Encoding of Natural Sounds at Multiple Spectral and Temporal Resolutions in the Human Auditory Cortex.
PLoS Comput. Biol., 2014
2013
Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.
NeuroImage, 2013
2012
Spin echo functional MRI in bilateral auditory cortices at 7 T: An application of B<sub>1</sub> shimming.
NeuroImage, 2012
Pattern analysis of EEG responses to speech and voice: Influence of feature grouping.
NeuroImage, 2012
NeuroImage, 2012
2011
Predicting subject-driven actions and sensory experience in a virtual world with Relevance Vector Machine Regression of fMRI data.
NeuroImage, 2011
Whole brain high-resolution functional imaging at ultra high magnetic fields: An application to the analysis of resting state networks.
NeuroImage, 2011
Predicting EEG single trial responses with simultaneous fMRI and Relevance Vector Machine regression.
NeuroImage, 2011
2010
Imaging haemodynamic changes related to seizures: Comparison of EEG-based general linear model, independent component analysis of fMRI and intracranial EEG.
NeuroImage, 2010
2008
Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.
NeuroImage, 2008
2007
Independent component analysis of interictal fMRI in focal epilepsy: Comparison with general linear model-based EEG-correlated fMRI.
NeuroImage, 2007
Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers.
NeuroImage, 2007