According to our database1, Elia Formisano authored at least 37 papers between 2002 and 2019.
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Optimizing fMRI experimental design for MVPA-based BCI control: Combining the strengths of block and event-related designs.
Frequency-specific attentional modulation in human primary auditory cortex and midbrain.
Sensitivity and specificity considerations for fMRI encoding, decoding, and mapping of auditory cortex at ultra-high field.
The impact of ultra-high field MRI on cognitive and computational neuroimaging.
Cortical tracking of multiple streams outside the focus of attention in naturalistic auditory scenes.
Acoustic and higher-level representations of naturalistic auditory scenes in human auditory and frontal cortex.
Cortical processing of pitch: Model-based encoding and decoding of auditory fMRI responses to real-life sounds.
Encoding of natural timbre dimensions in human auditory cortex.
Effects of Cross-modal Asynchrony on Informational Masking in Human Cortex.
J. Cognitive Neuroscience, 2017
A 7T fMRI study investigating the influence of oscillatory phase on syllable representations.
The effect of spatial resolution on decoding accuracy in fMRI multivariate pattern analysis.
Developmental refinement of cortical systems for speech and voice processing.
Representation of pitch chroma by multi-peak spectral tuning in human auditory cortex.
Encoding of Natural Sounds at Multiple Spectral and Temporal Resolutions in the Human Auditory Cortex.
PLoS Computational Biology, 2014
Multiclass fMRI data decoding and visualization using supervised self-organizing maps.
Development from childhood to adulthood increases morphological and functional inter-individual variability in the right superior temporal cortex.
Hemispheric Differences in the Voluntary Control of Spatial Attention: Direct Evidence for a Right-Hemispheric Dominance within Frontal Cortex.
J. Cognitive Neuroscience, 2013
Of cats and women: Temporal dynamics in the right temporoparietal cortex reflect auditory categorical processing of vocalizations.
Spin echo functional MRI in bilateral auditory cortices at 7 T: An application of B1 shimming.
Pattern analysis of EEG responses to speech and voice: Influence of feature grouping.
Seeing patterns through the hemodynamic veil - The future of pattern-information fMRI.
Integration of "what" and "where" in frontal cortex during visual imagery of scenes.
Network-based statistics for a community driven transparent publication process.
Front. Comput. Neurosci., 2012
Classification and Visualization of Multiclass fMRI Data Using Supervised Self-Organizing Maps.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Predicting subject-driven actions and sensory experience in a virtual world with Relevance Vector Machine Regression of fMRI data.
Reply to Friston and David: After comments on: The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution.
The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution.
Whole brain high-resolution functional imaging at ultra high magnetic fields: An application to the analysis of resting state networks.
Predicting EEG single trial responses with simultaneous fMRI and Relevance Vector Machine regression.
Brain activation during audiovisual exposure anticipates future perception of ambiguous speech.
High-resolution diffusion tensor imaging and tractography of the human optic chiasm at 9.4 T.
Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.
Independent component analysis of interictal fMRI in focal epilepsy: Comparison with general linear model-based EEG-correlated fMRI.
Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers.
Top-down task effects overrule automatic multisensory responses to letter-sound pairs in auditory association cortex.
The spatiotemporal pattern of auditory cortical responses during verbal hallucinations.
Spatial independent component analysis of functional magnetic resonance imaging time-series: characterization of the cortical components.