The NEural DEcoding COnfiguration (NEDECO) Package provides an optimization framework for automated and holistic parameter optimization of neural decoding systems. The framework considers both algorithmic and dataflow parameters while jointly taking into account both the neural decoding accuracy and execution time of the optimized solutions. The framework applies a population-based search strategy to optimize the relevant algorithmic and dataflow parameters of the given neural decoding system. The framework is general in that a variety of search strategies can be plugged-in; it is not specific to a single type of search method. Presently, two different search strategies are integrated into NEDECO --- Particle Swarm Optimization (PSO), and and Genetic Algorithms (GAs).
The objective of the NEDECO package is to help experimental neuroscientists and neural decoding system designers to arrive at strategically-optimized configurations of neural decoding implementations.
The NEDECO package will be released by February 1, 2023 through a git repository that is linked to this webpage. To download the package, please return to this webpage after that date.