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SUMMARY:Neurocomputational basis of social learning and decision-making - 
 Dr. Patricia Lockwood\, MRC Fellow\, Lecturer and Junior Research Fellow\,
  University of Oxford
DTSTART:20200108T150000Z
DTEND:20200108T160000Z
UID:TALK137275@talks.cam.ac.uk
CONTACT:Elisa Militaru
DESCRIPTION:The question of whether humans are fundamentally selfish or pr
 osocial has intrigued many disciplines from philosophy to economics for ce
 nturies. From small acts of kindness to major sacrifices\, just how willin
 g are humans to help others?\n\nHere I will describe a set of studies usin
 g computational models of effort-based decision-making and reinforcement l
 earning\, in combination with functional neuroimaging\, to understand how 
 willing people are to put in effort to help others (prosocial motivation) 
 and how people are able to learn which of their actions help others (proso
 cial learning). I will then discuss how basic associative learning process
 es might underlie our tendency to be biased towards self rather than other
 -related information in terms of ownership.\n\nI will show that in general
 \, people care more about their own outcomes than others\, but that there 
 are substantial individual differences that are linked to specific brain a
 reas. Moreover\, I will discuss how healthy ageing could be associated wit
 h changes in prosociality and therefore the importance of considering pros
 ocial behaviour from a lifespan perspective. Overall\, these findings coul
 d have important implications for understanding everyday social learning a
 nd decision-making and its disruption in disorders of social behaviour suc
 h as psychopathy.
LOCATION:Lecture Room\, Department of Psychology\, Downing Site\, Cambridg
 e
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