Conference Agenda

Neurocomputational evidence of sustained Self-Other mergence after psychedelics

Pablo Mallaroni^1,2, Natasha Mason², Katrin Preller³, Adeel Razi⁴, Samuel Ereira⁵, Johannes Ramaekers²

¹Department of Computing - Imperial College London; ²Department of Neuropsychology and Psychopharmacology - Maastricht University; ³Department of Adult Psychiatry and Psychotherapy - University of Zurich; ⁴Turner Institute for Brain and Mental Health - Monash University; ⁵Wolfson Institute of Population Health - Queen Mary University of London

The impact of reduced sense of agency on moral decision-making and its electrocortical correlates

Marina Scattolin^1,2, Giulio Piperno^2,3, Stella Petković^1,2, Riccardo Villa⁴, Maria Serena Panasiti^2,3, Salvatore Maria Aglioti^1,2

¹Sapienza University of Rome and CLN2S@Sapienza, Italian Institute of Technology, Rome, Italy; ²Santa Lucia Foundation, IRCCS, Rome, Italy; ³Department of Psychology, Sapienza University of Rome, Rome, Italy; ⁴Moral & Social Brain Lab, Department of Experimental Psychology, Ghent University, Ghent, Belgium

Agreement with instrumental harm differentially predicts moral choices based on consequences vs. norms, while estradiol predicts inaction

Aistė Ambrasė¹, Melina Grahlow^1,2, Erik Ilkevič³, Ximena Lenz¹, Niklas Klink¹, Ramunė Grikšienė³, Birgit Derntl^1,2,4

¹Department of Psychiatry and Psychotherapy, Women’s Mental Health and Brain Function, Tübingen Center for Mental Health (TüCMH), University of Tübingen, Tübingen, Germany; ²German Center for Mental Health (DZPG), Partner Site Tübingen, Tübingen, Germany; ³Department of Neurobiology and Biophysics, Institute of Biosciences, Life Science Center, Vilnius University, Lithuania; ⁴LEAD Research School and Graduate Network, University of Tübingen, Tübingen, Germany

Role of Supplementary Motor Areas in temporal estimation using transcranial Direct Current Stimulation (tDCS)

Claire Terran, Laurence Casini

CRPN, AMU-CNRS, Marseille, France

Motivation under stress: a neuro-computational account using Meta-Reinforcement Learning

Tim Vriens^1,2, Massimo Silvetti², Emmanouela Foinikianaki³, Florian Krause⁴, Erno Hermans^4,5, Eliana Vassena^1,5

¹Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands; ²Institute for Cognitive Sciences and Technology, National Research Council, Rome, Italy; ³Department of Experimental Psychology, Ghent University, Ghent, Belgium; ⁴Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands; ⁵Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, The Netherlands