Human Neuroscience

iElectrodes is an open-source Matlab toolbox to localize intracranial electrodes from MRI and CT images. Atlas and brain surfaces can be easily loaded for anatomical labeling. The toolbox is capable of working with ECoG (subdural grids and strips) and SEEG (depth) electrodes.

Reading directions vary across writing systems. Through long-term experience readers adjust their visual systems to the dominant reading direction in their writing systems. However, little is known about the neural correlates underlying these adjustments because different writing systems do not just differ in reading direction, but also regarding visual and linguistic properties.

FastSurfer is a fast and extensively validated deep-learning pipeline for the fully automated processing of structural human brain MRIs. As such, it provides FreeSurfer conform outputs, enables efficient big-data analysis for large cohort studies, and time-critical clinical applications such as structure localization during image acquisition or rapid extraction of quantitative measures for precision medicine.

YASA (Yet Another Spindle Algorithm) is a command-line sleep analysis toolbox in Python. The main functions of YASA are: Automatic sleep staging of polysomnography data (see preprint article). Event detection: sleep spindles, slow-waves and rapid eye movements, on single or multi-channel EEG data.

BioAmp EXG Pill is a small, powerful Analog Front End (AFE) biopotential signal acquisition board that can be paired with any 5 V Micro Controller Unit (MCU) with an ADC. It is capable of recording publication-quality biopotential signals like ECG, EMG, EOG, and EEG, without the inclusion of any dedicated hardware or software filters.

Neuroimaging researchers require a diverse collection of bespoke command-line and graphical tools to analyse data and answer research questions. Installing and maintaining a neuroimaging software setup is challenging and often results in un-reproducible environments.

Load a sensible subset of the fMRI confounds generated with fMRIprep in python (Esteban et al., 2018). The predefined denoising strategies are all adapted from Ciric et al. 2017. Check the docstring of each strategy for more info and a list of parameters.

COINSTAC provides a platform to analyze data stored locally across multiple organizations without the need for pooling the data at any point during the analysis. It is intended to be an ultimate one-stop shop by which researchers can build any statistical or machine learning model collaboratively in a decentralized fashion.

lab.js makes online experimentation easy. It’s a free, open, online study builder and data collection framework for the behavioral, neuro- and cognitive sciences. Studies built with lab.js run in the laboratory as well as online, across a wide variety of data collection platforms, and provide excellent performance for all modes of stimulus presentation.

MNE-Python is an open-source Python module for neuroscience data analysis. It implements many neuroscience-specific algorithms and statistical tools; has rich visualization capabilities that are both interactive and fully scriptable (for reproducibility); and integrates easily with general-purpose libraries like SciPy, Scikit-learn, and TensorFlow.