1.
"Who" is saying "what"? Brain-based decoding of human voice and speech
by Formisano, Elia
Science (New York, N.Y.), 07 November 2008, Vol.322(5903), pp.970-3

2.
Seeing patterns through the hemodynamic veil — The future of pattern-information fMRI
by Formisano, Elia
NeuroImage, 15 August 2012, Vol.62(2), pp.1249-1256

3.
Frequency preference and attention effects across cortical depths in the human primary auditory cortex
by Federico De Martino
Proceedings of the National Academy of Sciences, 29 December 2015, Vol.112(52), p.16036

4.
Brain activation during audiovisual exposure anticipates future perception of ambiguous speech
by Kilian-Hütten, Niclas
NeuroImage, 15 August 2011, Vol.57(4), pp.1601-1607

5.
Pattern analysis of EEG responses to speech and voice: Influence of feature grouping
by Hausfeld, Lars
NeuroImage, 15 February 2012, Vol.59(4), pp.3641-3651

6.
Mapping Frequency-Specific Tone Predictions in the Human Auditory Cortex at High Spatial Resolution.
by Berlot, Eva
The Journal of neuroscience : the official journal of the Society for Neuroscience, May 23, 2018, Vol.38(21), pp.4934-4942

7.
Activity in Human Auditory Cortex Represents Spatial Separation Between Concurrent Sounds.
by Shiell, Martha M
The Journal of neuroscience : the official journal of the Society for Neuroscience, May 23, 2018, Vol.38(21), pp.4977-4984

8.
Reconstructing the spectrotemporal modulations of real-life sounds from fMRI response patterns
by Santoro, Roberta
Proceedings of the National Academy of Sciences of the United States of America, May 2, 2017, p.4799

9.
Multiclass fMRI data decoding and visualization using supervised self-organizing maps
by Hausfeld, Lars
NeuroImage, 01 August 2014, Vol.96, pp.54-66

10.
Developmental refinement of cortical systems for speech and voice processing
by Bonte, Milene
NeuroImage, March 2016, Vol.128, pp.373-384

11.
The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution
by Roebroeck, Alard
NeuroImage, 15 September 2011, Vol.58(2), pp.296-302

12.
Predicting subject-driven actions and sensory experience in a virtual world with Relevance Vector Machine Regression of fMRI data
by Valente, Giancarlo
NeuroImage, 15 May 2011, Vol.56(2), pp.651-661

13.
Of cats and women: Temporal dynamics in the right temporoparietal cortex reflect auditory categorical processing of vocalizations
by Renvall, Hanna
NeuroImage, September 2012, Vol.62(3), pp.1877-1883

14.
Predicting EEG single trial responses with simultaneous fMRI and Relevance Vector Machine regression
by De Martino, Federico
NeuroImage, 15 May 2011, Vol.56(2), pp.826-836

15.
Evaluating the Columnar Stability of Acoustic Processing in the Human Auditory Cortex.
by Moerel, Michelle
The Journal of neuroscience : the official journal of the Society for Neuroscience, September 5, 2018, Vol.38(36), pp.7822-7832

16.

17.
Representation of pitch chroma by multi-peak spectral tuning in human auditory cortex
by Moerel, Michelle
NeuroImage, 01 February 2015, Vol.106, pp.161-169

18.
The effect of spatial resolution on decoding accuracy in fMRI multivariate pattern analysis
by Gardumi, Anna
NeuroImage, 15 May 2016, Vol.132, pp.32-42

19.
Development from childhood to adulthood increases morphological and functional inter-individual variability in the right superior temporal cortex
by Bonte, Milene
NeuroImage, December 2013, Vol.83, pp.739-750

20.
Differences between liking and wanting signals in the human brain and relations with cognitive dietary restraint and body mass index
by Born, Jurriaan
The American Journal of Clinical Nutrition, Aug 1, 2011, p.392
