A user interface for cloud based medical image storage
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Updated
Mar 15, 2022 - Python
A user interface for cloud based medical image storage
Repository with neurophysiological and statistical pipelines for auditory cognitive neuroscience research article in preparation.
Simple interpolation methods for fNIRS cerebral signal whose channels are located in a 2D space.
MEG sensor-space and source-space analysis using mne-python
A Brain Computer Interface for Electroencephalogram data learning and prediction. Implementaton of Common Spatial Patterns algorithm from scratch.
Preprocessing and encoding analysis pipelines associated with published neuroscientific research paper.
A runner for the MNE BIDS Pipeline.
This is my pipeline for preprocessing and processing EEG data in Python.
Reading Spike2 files for electromiography and preprocessing them
A framework for boosting the implementation of stimulus-response research code in the field of cognitive science and neuroscience
Directory used to store the code used for the paper titled "Theta and alpha power across fast and slow timescales in cognitive control" by Pieter Huycke, Pieter Verbeke, C. Nico Boehler and Tom Verguts.
A U-Net for approximating the MEG inverse problem
A simple open source Python package for I/O between Cartool and Python
BrainVision EEG data classification using the MNE, Keras and the scikit-learn libraries.
Estimate/compute high-frequency oscillations (HFOs) from iEEG data that are BIDS and MNE compatible using a scikit-learn-style API.
Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype
[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time
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