Computational Neuroscience Lab
Rubén Moreno-Bote’s lab. Foundation Sant Joan de Déu, Barcelona, Spain.
Recently, some of the neuronal correlates of high level cognitive functions, such as decision making, working memory, visual perception and attention, have been uncovered. Neurophysiologists, powered with new recording techniques, are obtaining crucial information about the neuronal mechanisms that underlay the perception of the objects, confidence in our decisions or our perception of time. With these neuronal recording techniques, we are for the first time in a position to unravel some of the complex mechanisms that underlay basic psychological phenomena. However, the interpretation of the data is often difficult due to their richness and complexity, and a theoretical framework that would allow interpreting these neuronal data coherently is still lacking.
To describe and understand these complex neuronal data arising from state of the art recording techniques and being able to link them to behavior, we face the problem of developing new mathematical frameworks that are algorithmically efficient and at the same time incorporate our knowledge about neuronal electrophysiology. In our lab we combine computational neuroscience with the analysis of neuronal and behavioural data to understand how neuronal dynamics underlies cognitive functions, such as perception and attention, and to describe complex multielectrode recording neuronal data. Given the broad scope of the problems that we face and the variety of methods required, our lab is clearly multidisciplinary, involving techniques from psychology, physics, mathematics and neuroscience, along with analysis of electrophysiological data and computer simulations.