Bridging Research in AI and Neuroscience

The 'Bridging Research in AI and Neuroscience' (brAIN) group pursues fundamental, experimental, and computational research at the intersection in Artificial Intelligence and Neuroscience. Our primary aim is to seamlessly integrate these two disciplines, advancing both the understanding of neural mechanisms and the development of intelligent systems.

AI’s primary aim is to develop software that can perceive the environment, learn from it, and perform actions to achieve specific goals—much like how humans do. Our brain has already mastered many challenges in vision and cognition. Our ultimate goal is to leverage the brain’s millennia of evolutionary expertise to solve today’s complex scientific, technological, and medical problems. We aim to achieve this by integrating computational modelling, neuroscience insights, and psychophysical experimentation.

Our focus is twofold: applying AI tools to study and understand cognitive processes and brain mechanisms, while using neuroscience knowledge to design innovative AI architectures and tools. This synergy drives progress in both fields.

Current research in the group focuses on perceptual and cognitive processes related to computational biological learning using spiking models, computational aesthetics, neuroimaging techniques (electroencephalography and functional magnetic resonance imaging), and computational curiosity.