Understanding relationships between states and actions as they unfold in time is essential for making sense of the world as well as for planning actions. I am interested in understanding how this functionality could be implemented in the mammalian brain, specially in the context of spatial navigation.
I studied a bachelor's degree in Electronics and Robotics Engineering at the University of Seville followed by a M.Sc. degree in Neural Systems and Computation at the University & ETH of Zurich. In my master's thesis, I developed a mismatch detection neural network and applied it to a navigation task.
A large number of cell types in the mammalian brain code for various types of spatial information, e.g., head direction cells, place cells, and grid cells. We study how networks of these cell types could support spatial navigation by combining computational modeling and data analysis.
The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210
