Our research group aims to bring tools and methods from computer science, nonlinear dynamics to applied sciences.
Computational Neuroscience
The brain is a complex system with billions of cells called neurons that are responsible for keeping us alive. In this research theme we aim to develop computational models to help understand the intricacies of the brain. How do neurons interact with each other? How does temperature affect their behavior? How is information processed? What are the fundamentals of memory formation?
Predictions with Machine Learning
Machine learning is a segment of artificial intelligence that uses data for learning and performing tasks without knowledge of the mechanisms behind that task. Applications of machine learning have become widespread, permeating our day-to-day lives through many services we use, sometimes not even realizing that certain jobs are being performed by a machine. In this research theme we aim to add scientific knowledge to the data driven training process in machine learning for improving the machine’s prediction capability.