32 – Rob Chavez: Lessons from a Computational Social Neuroscientist

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Rob Chavez, an associate professor at the University of Oregon, discusses his work as a social neuroscientist and the use of computational modeling in his research. He explains that social neuroscience combines social psychology and cognitive neuroscience to understand how the brain processes social information. Chavez emphasizes the importance of asking interesting questions and developing new paradigms in neuroscience research. He also discusses the reliability of brain imaging data and the potential of machine learning and AI in advancing our understanding of the brain. Chavez focuses on brain regions such as the medial prefrontal cortex and the posterior cingulate cortex in his research. In this conversation, Rob Chavez discusses his recent research on self-referential processing and the brain. He explains how the brain represents and processes information about the self and others, and how this relates to social cognition and empathy. Chavez also explores the concept of distance in social relationships and how it is reflected in brain activity. He emphasizes the importance of considering cultural and linguistic influences on the self, as well as the limitations of reducing complex brain processes to simple models. Overall, Chavez’s work highlights the interconnectedness of different brain regions and the need for interdisciplinary approaches in understanding the self and social cognition.

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