This repository contains the files that generate Andy's Brain Book on ReadTheDocs.

Example pipeline for preprocessing, reading in behavioural files, first level and second level analysis

A novel method for sampling the active and noisy areas is proposed by using the purification of gray and non-gray matter areas of fMRI data. Also, a data-driven network is proposed in a parallel, multi-step and integrated manner for optimal noise reduction of t-fMRI data.

Code used for the stimulus and data analysis of the study "Identification of competing neural mechanisms underlying visual perceptual hysteresis: persistence vs. adaptation".

Code to analyze audio-visual-tactile high-resolution 7T data

PychoPy implementation of n-back, and facename fMRI tasks

code for the CPPL participation to NARPS

Code to run and analyse of audiovisual/attention 7T experiment

shell script package for (pre)processing fmri data