My research in neuroeconomics

I am interested in the neural basis and the computational principles underlying human decision making. My research focuses on value-based decisions and aims at understanding how the values of available choices are computed from perceptual evidence, internal preferences and the subjective model of the choices context. My current work involves understanding social context, how it shapes behavior and how it is encoded by the brain to inform valuation and decision making.

What follows is briefl account of my scientific career so far.

I am not quite sure when I happened to start thinking about what’s happening when thinking but I soon realised that whatever it was, it was happening, physically, behind our eyes. This is why I chose to study Physics in La Sapienza University in Rome where, in 2009, I graduated with a thesis on a neural network model of sensorimotor control.

At that point it was clear to me how fundamental it was approaching the study of the brain through a principled modelling of the computations it performs. This is why on September 2009 I came to London to study Computational Statistics and Machine Learning at UCL. One year later I graduated with a project on a statistical model of attention based on approximate inference, which Microsoft judged to be the best of my course, that year.

In November 2014 I obtained a PhD in Neuroscience at the UCL Institute of Ophthalmology, in the laboratory of Prof.Carandini. Under his supervision, I used Wide-field Intrinsic and Fluorescence Imaging to study the relationship between hemodynamic and neural activity in the mouse visual cortex. During my PhD I took the Theoretical Neuroscience course at the Gatsby Computational Neuroscience Unit, and I published two papers.

The first paper, entitled “Fast hemodynamic responses in the visual cortex of the awake mouse” (Journal of Neuroscience, 2013) studied the effect of brain state on neurovascular coupling, the mechanism at the basis of the most commonly used neuroimaging techniques (i.e. fMRI).

fig3The second paper, entitled “Local and global contributions to hemodynamic activity in mouse cortex (Journal of Neurophysiology, 2016) described more profound effect of brain state on vascular activity in the mouse cortex suggesting a novel method to analyse neuroimaging data to reveal the differential contributions of external stimuli and internal neural dynamics on cortical hemodynamic activity. The image on the right, showing a strong correlation between pupil dilations and cortical hemodynamic activity, gained the paper a robust coverage on social media, ending up in the top 5% of all research output scored by Altmetric. If you you want to hear me chatting about this result with two of my scientific heroes, you can do that here.

Originally inspired by reading Thinking, Fast and Slow by Daniel Kahneman (which talks a lot about what is happening, metaphorically, behind our eyes), I decided to change research area after my PhD and enter the fascinating field of Neuroeconomics.  I joined Marios Philiastides Lab at the University of Glasgow where I studied human decision-making through simultaneous measurement of EEG and fMRI.

In June 2017 I published my first work on decision making. The paper, entitled “Neural correlates of evidence accumulation during value-based decisions revealed via simultaneous EEG-fMRI” (Nature Communications, 2017) showed that preference-based decisions such as choosing between a nutella jar and a package of M&Ms can be described in terms of the classical drift-diffusion model and that such decisions might be represented in the same brain areas that plan the action to execute them. The Daily Mail account of my paper further established that we have a good chance to develop a drug to increase willpower, and helped me to understand how Brexit came about (i.e. by sensasionalist reporting of nonsensical/fake news).

In October 2018 I moved to the University of Oxford to join the Motivation and Social Neuroscience lab of Matthew Apps. Here I am focusing on effort-based decision making in humans and on the neural and behavioural trade off between cooperation and competition.