Elvira Brattico
Orcid: 0000-0003-0676-6464
According to our database1,
Elvira Brattico
authored at least 27 papers
between 2006 and 2024.
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Bibliography
2024
CoRR, 2024
NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration.
IEEE Access, 2024
2021
Brain predictive coding processes are associated to COMT gene Val158Met polymorphism.
NeuroImage, 2021
NeuroImage, 2021
2020
Decomposing neural responses to melodic surprise in musicians and non-musicians: Evidence for a hierarchy of predictions in the auditory system.
NeuroImage, 2020
Proceedings of the Brain Informatics - 13th International Conference, 2020
2019
Proceedings of the Brain Informatics - 12th International Conference, 2019
2018
2017
Towards Tunable Consensus Clustering for Studying Functional Brain Connectivity During Affective Processing.
Int. J. Neural Syst., 2017
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017
2016
The reliability of continuous brain responses during naturalistic listening to music.
NeuroImage, 2016
Comparing the Performance of Popular MEG/EEG Artifact Correction Methods in an Evoked-Response Study.
Comput. Intell. Neurosci., 2016
2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015
2014
Capturing the musical brain with Lasso: Dynamic decoding of musical features from fMRI data.
NeuroImage, 2014
Generation of stimulus features for analysis of FMRI during natural auditory experiences.
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
NeuroImage, 2013
Diffusion map for clustering fMRI spatial maps extracted by independent component analysis.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Semi-blind independent component analysis of functional MRI elicited by continuous listening to music.
Proceedings of the IEEE International Conference on Acoustics, 2013
Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013
2012
Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm.
NeuroImage, 2012
2010
J. Cogn. Neurosci., 2010
2009
J. Cogn. Neurosci., 2009
Neural Discrimination of Nonprototypical Chords in Music Experts and Laymen: An MEG Study.
J. Cogn. Neurosci., 2009
2006
J. Cogn. Neurosci., 2006