Computational Neuroscience

My main present research line is the development of biologically-plausible computational neurodynamical models of the visual cortex. These models are nonlinear dynamical systems that describe the temporal evolution of the firing rate activity of a network of interconnected neurons. Connections between these neurons are modeled by reproducing the architecture described in anatomical and neurophysiological findings.

I apply these models to problems such as

• Brightness and colour perception
• Visual discomfort
• Visual aesthetics
• Binocular depth perception
• Machine learning