Master's thesis: machine learning for neuroscience researchers

I had the opportunity to do my engineering master’s thesis in the lab of Fabian Kloosterman at NERF, where I was introduced to the wonderful world of neuroscience. The context and the goals of my thesis, and the current results, are shortly explained in this conference abstract. This poster, made at the beginning of the project, visually shows the setup and the initial plan. I developed a detection algorithm based on a gated recurrent neural network, yielding a significant improvement over the state of the art. (For the hippocampus connoisseurs: here are some preliminary detection results. Blue: state of the art method. Magenta: new method).