Talks
2023
A Multi-Subject Deconvolution Algorithm to Analyze Naturalistic fMRI Data At The Finest Temporal and Spatial Resolution
ISMRM Workshop on Current Issues in Brain Function
September 4th, 2023.
A Multi-Subject Deconvolution Algorithm for the Analysis of Naturalistic fMRI Data
ISMRM Iberian Chapter 3rd Annual Meeting
July 4th, 2023.
A Multi-Subject Deconvolution Algorithm for the Analysis of Naturalistic fMRI Data
ISMRM 32nd Annual Meeting & Exhibition
June 7th, 2023.
Multi-Subject Paradigm Free Mapping: A Promising Frontier for Analyzing Naturalistic fMRI Data
Cambridge Babylab, University of Cambridge, UK
May 24th, 2023.
Advancing fMRI Data Analysis with Deconvolution Models: Paradigm Free Mapping Revisited
Developmental Cognition and Neuroimaging (DCAN), University of Minnesota, US
April 17th, 2023.
A tutorial on how to use git and GitHub to collaborate
Institute of Biomedical Engineering, University of Oxford, UK
Jan 30th, 2023.
2022
tedana: Analysis of echo-time dependent fMRI data
MRI Together (online)
Dec 6th, 2022.
Brainhack Donostia 2022
Radio interview for La Mecánica del Caracol
Nov 16th, 2022.
Paradigm Free Mapping: Extending the algorithms that blindly estimate neuronal-related activity from fMRI data
Institute of Biomedical Engineering, University of Oxford, UK
Nov 14th, 2022.
Paradigm Free Mapping: Extending the algorithms that blindly estimate neuronal-related activity from fMRI data
Functional Imaging and Naturalistic Neuroscience lab, Dartmouth College, US
Apr 27th, 2022.
2021
Multi-echo Tensor Decomposition: A first attempt into higher-dimensional decomposition for denoising multi-echo fMRI data
Section on Fuctional Imaging Methods, NIH, Bethesda, US
May 12th, 2021.
2020
Brain Awareness Week 2020
Radio interview for Norteko Ferrokarrila
Mar 10th, 2020.
2019
How to use git and GitHub
Brainhack Donostia 2019
May 5th, 2019.