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Personal profile

Research interests

At the Theoretical Social Neuroscience Lab, we are interested in testing and developing theories of social behavior, cognition and neuroscience.

These theories can be based on both verbal and mathematical models. We are committed to the development of theory-driven, ecological, social paradigms to test these models and possibly generate better ones. Work in the lab is hence both theoretical (e.g., concept clarification, phenomenon definition, process formalization) and empirical (e.g., in-lab and online behavioral testing, neuroimaging techniques).

Even though the focus of the lab is predominantly on the social domain, our work spans other aspects of cognition as well, such as memory, attention, domain-general learning and inference processes.

See for publications here.

Personal profile

Gabriele Bellucci is a Lecturer of Social Neuroscience and leads the Theoretical Social Neuroscience Lab at RHUL.

After a training in philosophy (BA and MA), he moved on to cognitive neuroscience and worked with neuroeconomists in Berlin and Washington DC (MSc). Gabriele obtained his PhD in Psychology at the Free University in Berlin and did postdoctoral work at the Department of Computational Neuroscience at the Max-Planck-Institute for biological Cybernetics.

His research investigates varying aspects of cognition like learning, memory and belief formation, with focus on social decision-making, its algorithmic representation and neural implementation.

Teaching

I currently lecture in PS3191 (the Social Brain) and PS2120 (How Can Psychology Change the World?).

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Cognitive Neuroscience, PhD, The Neural and Psychological Dynamics of Trust, Freie Universität Berlin

Award Date: 14 Nov 2019

Keywords

  • Social cognition
  • Computational Modeling
  • Decision Making
  • Cognitive neuroscience
  • Theoretical Social Neuroscience
  • Neuroimaging
  • Social psychology
  • Psychology of Memory
  • Learning
  • Psychology of mental health

Collaborations and top research areas from the last five years

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