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.
The easiest way to get started creating online behavioural experiments! psygo is a CLI tool that streamlines the development of custom jsPsych plugins, allowing you to create custom behavioural experiments that can be run online.
ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis.
This is the 4th edition of the online, freely available textbook, providing a complete, self-contained introduction to the field of Computational Cognitive Neuroscience, where computer models of the brain are used to understand a wide range of cognitive functions, including perception, attention, motor control, learning, memory, language, and executive function.
Neural network simulation software written in Go and Python, for developing biologically-based but also computationally functional neural models. Features an interactive 3D interface for visualizing networks and data, and has many implemented models of a wide range of cognitive phenomena.
EmotiBit is a wearable sensor to capture high-quality emotional, physiological, and movement data from just about anywhere on the body.
Project Author(s) Sean Montgomery
Project Links https://www.emotibit.com/
Project Video https://www.youtube.com/watch?v=jbcL2jzyWj4&ab_channel=EmotiBit