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 analysis. Develop advanced neurofeedback paradigms targeting specific brain regions and networks.
Harness active BCI control using validated conventional motor imagery paradigms, or build your own paradigm from dozens of feature extraction and machine learning approaches.
Quickly build and apply workflows using NeuroPype's comprehensive algorithm library. Share workflows between collaborators. Missing something? No problem, you can readily add your own algorithms to NeuroPype’s modular Python framework.
NeuroPype interfaces seamlessly, with the free and open source Lab Streaming Layer, supporting data I/O with most consumer and research EEG hardware and over 20 other device classes.
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All the features of the Enterprise edition, but also allows you develop and add your own Python-based processing nodes to NeuroPype, which you can then chain with NeuroPype’s existing nodes to create pipelines. Ideal for companies with R&D teams who want to be able to add new custom nodes to their pipelines based on their own algorithms and/or proprietary functions.
Deploy one or more preset Neuropype pipelines at scale, plus the Neuropype runtime engine, incorporated into your own application. Ideal for companies with end-user solutions to which they want to easily add biosignal processing capability.
This special edition, with the same features as the Developer edition, is being made available free of charge to university researchers, academia and students. Ideal for signal processing research workflows. Accelerate your neuroscience research today!