GSoC 2023 - INCF: Integration of Automated Model Testing and Parameter Fitting Tools for Neuroscience Applications
This project aims to develop seamless integration between HippoUnit (a software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons) and Neuroptimus (formerly known as Optimizer), which is designed to enable advanced parameter optimization methods, such as evolutionary algorithms and swarm intelligence, for various problems in neuronal modeling. This integration will allow the construction of detailed biophysical models of hippocampal neurons, ultimately optimizing a broader range of neuronal behaviors and enhancing biophysical models of hippocampal neurons. The project is an extension of the work carried out by Martin Blazsek during GSoC 2022, where he laid the foundation for the integration between HippoUnit and the previous version of Neuroptimus (Optimizer).
My primary task is to integrate Martin's prototype solution w