mayadeh-kooti Goto Github PK

2019_projects

Directory of Neurohackademy 2019 projects

abcd-dicom2bids

For selectively downloading ABCD data QC'ed as good by the DAIC, converting it to BIDS standard input data, selecting the best pair of spin echo field maps, and correcting the sidecar JSON files to meet BIDS Validator spec.

arduino-lmic

LoraWAN-in-C library, adapted to run under the Arduino environment

automatic-high-frequency-oscillation-detector

awesome-bci

Curated Collection of BCI resources

bci-challenge-ner-2015

Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

bidscoin

BIDScoin converts your source-level neuroimaging data to BIDS

biosignal-emotions-bhs-2020

braindecode

Outdated, see new https://github.com/braindecode/braindecode

brian2

Brian is a free, open source simulator for spiking neural networks.

child_mind_2020

clinical

Clinical Toolbox for SPM (https://www.nitrc.org/projects/clinicaltbx/)

course-content-dl

dash-by-plotly

Interactive data analytics

dcm2niix

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

deepunderstandingofdeeplearning

Python code accompanying the course "A deep understanding of deep learning (with Python intro)"

eeg-emotion-recognition-interfaces-datasets

EEG Emotion Datasets (INTERFACES) from OpenBCI (IEEE Sensors Journal)

eeg_analysis

eegfmripy

python code for denoising eeg data from eeg-fmri experiments, and fusing with FMRI

emotion-recognition-from-brain-eeg-signals-

Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying the emotion as valance, likeness/dislike, arousal, dominance. We have used LSTM and CNN classifier which gives 88.60 % accuracy to predict the model successfully.

emotiondetection

Bachelor thesis

epi-esi-data

data manips for epi-esi-data

eumpy-experiment

This is a project of combining facial expression and EEG for emotion recognition using python in emotion experiment

flux

The FLUX pipeline for analysis of MEG data using MNE Python

fmri-quality-checker

Matlab and SPM12 scripts to calculate various image and time series quality metrics for fMRI data

fmri_preprocessing_and_qa_code

MATLAB code for preprocessing and quality assessment of fMRI data (using SPM12 and some other tools)

fmrihandbook

Python package with common code for examples and figures

fmriprep

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

fmriprep-denoise-benchmark

Benchmark denoising strategies available from fmriprep.

fooof_mat

A Matlab wrapper for spectral parameterization.