Defecting or not defecting: how to 'read' human behavior during cooperative games by EEG measurements
| Autor: | DE VICO FALLANI, Fabrizio, Vincenzo, Nicosia, Roberta, Sinatra, Astolfi, Laura, Cincotti, Febo, Donatella, Mattia, Christopher, Wilke, Alex, Doud, Vito, Latora, Bin, He, Babiloni, Fabio, Olaf, Sporns |
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| Rok vydání: | 2010 |
| Předmět: |
FOS: Computer and information sciences
Power graph analysis Adult Male Physics - Physics and Society Computer science FOS: Physical sciences lcsh:Medicine Physics and Society (physics.soc-ph) 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Cognition Game Theory Humans Learning 0501 psychology and cognitive sciences Cooperative Behavior lcsh:Science Social and Information Networks (cs.SI) Neuroscience/Cognitive Neuroscience Behavior Brain Mapping Multidisciplinary Models Statistical Neuroscience/Behavioral Neuroscience Artificial neural network 05 social sciences lcsh:R Information flow Brain Computer Science - Social and Information Networks Electroencephalography Prisoner's dilemma Models Theoretical Dilemma Neuroscience/Psychology Quantitative Biology - Neurons and Cognition FOS: Biological sciences Neurons and Cognition (q-bio.NC) lcsh:Q Female Game theory 030217 neurology & neurosurgery Cognitive psychology Research Article |
| Zdroj: | PLoS ONE PLoS ONE, Vol 5, Iss 12, p e14187 (2010) |
| ISSN: | 1932-6203 |
| Popis: | Understanding the neural mechanisms responsible for human social interactions is difficult, since the brain activities of two or more individuals have to be examined simultaneously and correlated with the observed social patterns. We introduce the concept of hyper-brain network, a connectivity pattern representing at once the information flow among the cortical regions of a single brain as well as the relations among the areas of two distinct brains. Graph analysis of hyper-brain networks constructed from the EEG scanning of 26 couples of individuals playing the Iterated Prisoner's Dilemma reveals the possibility to predict non-cooperative interactions during the decision-making phase. The hyper-brain networks of two-defector couples have significantly less inter-brain links and overall higher modularity - i.e. the tendency to form two separate subgraphs - than couples playing cooperative or tit-for-tat strategies. The decision to defect can be "read" in advance by evaluating the changes of connectivity pattern in the hyper-brain network. |
| Databáze: | OpenAIRE |
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