Research in our Lab focuses on understanding mechanisms that support and facilitate learning, both in AI and in the brain

Lines of research

One line of active research delves into Deep Learning to overcome the limitations it faces Today. Our approach is applying knowledge and techniques at the intersection of machine learning and computational neuroscience; we seek to adapt computationally efficient mechanisms of the brain into AI architectures, aiming for more powerful and explainable learning algorithms. More particularly, we are testing the capabilities of the learning algorithm after introducing changes to the neural network, mainly by strengthening its neurobiological substrate. Using this approach, we expect to improve performance in terms of flexibility, agility and robustness.

Another line of active research focuses in Neuroscience. We are highly interested in identifying physiological mechanisms of brain function and dysfunction, specifically in what relates to learning and cognition. To accomplish this, we simulate reinforcement learning models and biological neural networks. One of these studies focuses on cognitive dynamics, where we combine experimental procedures (psychophysics and neuroimaging) with computational approaches (machine learning and neural circuit modeling) to study the dynamics, development, and decline of human cognition across the life span.

News

• Our research project on Learning Algorithms and Neuroscience has been granted by the National Funding Agency, “Proyectos I+D+i”

• Lab’s research has been highlitghted by the Science blog at UPV Gandia

• Salva Ardid has received the Gen-T Distinguished Researcher Award and has joined the UPV as a Research Group Leader