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fMRIprep is a functional magnetic resonance image pre-processing pipeline that is designed to provide an easily accessible, state-of-the-art interface that is robust to differences in scan acquisition protocols and that requires minimal user input, while providing easily interpretable and comprehensive error and output reporting.

Home Page: http://fmriprep.readthedocs.io

License: BSD 3-Clause "New" or "Revised" License

Shell 0.16% Python 12.37% HTML 87.30% Smarty 0.17%

fmriprep's Introduction

Matteo Visconti di Oleggio Castello, Ph.D.

I'm a Postdoctoral Scholar at the University of California, Berkeley, working in Jack Gallant's lab. I'm interested in how our brains build and represent meaning from the world around us. My current research focuses on how these representations differ between people.

To study these questions, I build computational models to predict brain activity when we watch movies, listen to stories, or interact with each other. Then I break these models apart, and see if I can learn something interesting about the brain.

Before coming to Berkeley, I received a Ph.D. in Cognitive Neuroscience at Dartmouth, working with Ida Gobbini and Jim Haxby. At Darmouth, I studied how our brains represent the identity of our friends and colleagues. I used psychophysics and fMRI to study familiar face perception.

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