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Computational and neurocognitive approaches to the political brain: key insights and future avenues for political neuroscience.
- Source :
-
Philosophical Transactions of the Royal Society B: Biological Sciences . 4/12/2021, Vol. 376 Issue 1822, p1-6. 6p. - Publication Year :
- 2021
-
Abstract
- Although the study of political behaviour has been traditionally restricted to the social sciences, new advances in political neuroscience and computational cognitive science highlight that the biological sciences can offer crucial insights into the roots of ideological thought and action. Echoing the dazzling diversity of human ideologies, this theme issue seeks to reflect the multiplicity of theoretical and methodological approaches to understanding the nature of the political brain. Cutting-edge research along three thematic strands is presented, including (i) computational approaches that zoom in on fine-grained mechanisms underlying political behaviour, (ii) neurocognitive perspectives that harness neuroimaging and psychophysiological techniques to study ideological processes, and (iii) behavioural studies and policy-minded analyses of such understandings across cultures and across ideological domains. Synthesizing these findings together, the issue elucidates core questions regarding the nature of uncertainty in political cognition, the mechanisms of social influence and the cognitive structure of ideological beliefs. This offers key directions for future biologically grounded research as well as a guiding map for citizens, psychologists and policymakers traversing the uneven landscape of modern polarization, misinformation, intolerance and dogmatism. This article is part of the theme issue 'The political brain: neurocognitive and computational mechanisms'. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09628436
- Volume :
- 376
- Issue :
- 1822
- Database :
- Academic Search Index
- Journal :
- Philosophical Transactions of the Royal Society B: Biological Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 148908938
- Full Text :
- https://doi.org/10.1098/rstb.2020.0130