Neuropype.io Website Review

NeuroPype™ Suite is a collection of applications that, in addition to NeuroPype, includes an open-source visual pipeline designer and tools for interfacing with diverse sensor hardware, recording data, and other functions. 200+ algorithms including advanced artifact (noise) removal, filtering, 3D brain mapping, neuronal system identification and connectivity, spatio-spectro-temporal decomposition methods, brain state clas*ification using machine learning, and much more Design pipelines using Pipeline Designer, an open-source “drag and drop” visual dataflow programming environment based on the excellent Orange application. Link in real-time data visualizations to monitor the state of your pipelines. New to neurotechnology? Select from a library of pre-built pipelines for common biosignal processing and BCI use cases. Customized for out of the box use, these are continually updated by our research scientists to reflect the latest published research and methods. Leverage algorithms optimized for real-time use. Ideal for closed-loop neurofeedback, neuroimaging, and brain-computer interface applications. Modify and customize your pipelines on the fly while seamlessly streaming data. NeuroPype employs a Python-based modular architecture which decouples processing engine, workflows, and graphics. Add your own algorithms to Design and test pipelines on your local PC. Then deploy on the NeuroScale cloud API platform for real-time streaming to any Includes the source code of sample NeuroPype processing functions (“nodes”) along with comprehensive API docu*entation to help you develop your own nodes based on your own algorithms or functions. Remove unwanted artifacts in real-time using NeuroPype’s automated artifact rejection algorithms. Obtain clean EEG signals while removing artifacts due to eye and head movement, facial muscle activity, power line noise, and other common sources of interference. Leverage pipelines for real-time EEG neuroimaging and brain connectivity an*lysis. Develop advanced neurofeedback paradigms