Cyceera’s Neuromorphic Development Environment is a complete machine learning framework for the implementation, training, and testing of intelligent neuromorphic processors based on Cyceera’s Neuromorphic Intellectual Property (CNIP) cores. The Environment is based on Python and employs NumPy and Matplotlib for graphical user interface (GUI) visualization and analysis. The GUI also provides means to create custom neuromorphic device architectures and interface with standard neuromorphic architectures.
Depending on the design route, output data can be used to configure standard devices or output Register Transfer Level (RTL) architecture files to third party EDA tool chains to implement custom neuromorphic devices for specific applications.