This supplement is for the parent grant, R01NS110421, which was a response to FOA NSF18501 Collaborative Research in Computational Neuroscience. Real-time neural decoding for cellular imaging is becoming a central focus in neuroscience, leading to precise neuromodulation. In the parent grant, we have developed a stable version of an open-source software system called RNDC- Lab (Real-time Neural Decoding for Cellular imaging Laboratory). RNDC-Lab enables real-time implementation of complex combinations of neural signal processing algorithms including motion correction, cell identification, calcium trace extraction, and predictive modeling (support vector machine-based and deep neural network-based design). RNDC-Lab offers the unprecedented capability to jointly experiment with diverse models, methods, and devices for real-time interrogation of neural circuit activity in behaving animals. This project centers on the rapid dissemination of RNDC-Lab. The potential users of RNDC-Lab are experimental neuroscientists who will use the software to analyze their calcium imaging data and computational neuroscientists who may further improve the software by adding new functions. Experimental neuroscientists often do not have extensive background or experience in software engineering. Major barriers to dissemination of RNDC-Lab are 1) a steep learning curve for how to use the software and 2) a non-trivial installation process. We will address these barriers in this supplement. The Specific Aims are: 1) we will ease the learning curve by providing training materials, workshops, and extensive documentation; 2) we will remove the installation barrier by containerization with Docker. This supplement project will address the following specific objective of NOT-NS-21-014: “maintenance, minor enhancements, and distribution of open-source computational tools and software packages”. A value to the intended user group is 1) a simplified installation process for easy deployment and 2) comprehensive documentation and training materials. The anticipated outcomes of our proposal are: (1) an enhanced version of RNDC-Lab that is equipped with container technology to enable easy installation and utilization by users on their preferred computing platforms, and also to facilitate its maintenance and extension by developers of RNDC- Lab; (2) extensive documentation and training to accelerate adoption of RNDC-Lab; and (3) an initial community of users outside of the RNDC-Lab development team, and feedback gained from this community to inform future development and revision of RNDC-Lab.