Mr Michele Svanera

  • Research Associate (Centre for Cognitive Neuroimaging)

Research interests

After obtaining my Bachelor and Master degrees working on Signal Processing, Computer Vision and Machine Learning, since the second year of my PhD I became more and more interested in neuroscience, thanks to multiple collaborations with different Brain centres (Maastricht and Tel Aviv). Wandering across Cognitive Neuroscience and Artificial Intelligence (specifically deep learning), I am interested to address the goal to understand the brain activities in relation with movie stimulus applying recent advances in machine learning. I joined prof. Lars Muckli’s lab since May 2017, as postdoctoral researcher, to extend my studies also to high-field fMRI and non-feedforward sources location in primary visual cortex.


Publications

List by: Type | Date

Jump to: 2019
Number of items: 1.

2019

Svanera, M. , Savardi, M., Benini, S., Signoroni, A., Raz, G., Hendler, T., Muckli, L. , Goebel, R. and Valente, G. (2019) Transfer learning of deep neural network representations for fMRI decoding. Journal of Neuroscience Methods, 328, 108319. (doi:10.1016/j.jneumeth.2019.108319) (PMID:31585315)

This list was generated on Thu Jan 23 21:26:24 2020 GMT.
Jump to: Articles
Number of items: 1.

Articles

Svanera, M. , Savardi, M., Benini, S., Signoroni, A., Raz, G., Hendler, T., Muckli, L. , Goebel, R. and Valente, G. (2019) Transfer learning of deep neural network representations for fMRI decoding. Journal of Neuroscience Methods, 328, 108319. (doi:10.1016/j.jneumeth.2019.108319) (PMID:31585315)

This list was generated on Thu Jan 23 21:26:24 2020 GMT.