Computational methods in social neuroscience: Recent advances, new tools and future directions

Recent years have seen a surge of exciting developments in the computational tools available to social neuroscientists. This paper highlights and synthesizes recent advances that have been enabled by the application of such tools, as well as methodological innovations likely to be of interest and ut...

Full description

Bibliographic Details
Main Author: Parkinson, C. (Author)
Format: Article
Language:English
Published: Oxford University Press 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02956nam a2200481Ia 4500
001 10.1093-scan-nsab073
008 220427s2021 CNT 000 0 und d
020 |a 17495016 (ISSN) 
245 1 0 |a Computational methods in social neuroscience: Recent advances, new tools and future directions 
260 0 |b Oxford University Press  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1093/scan/nsab073 
520 3 |a Recent years have seen a surge of exciting developments in the computational tools available to social neuroscientists. This paper highlights and synthesizes recent advances that have been enabled by the application of such tools, as well as methodological innovations likely to be of interest and utility to social neuroscientists, but that have been concentrated in other sub-fields. Papers in this special issue are emphasized - many of which contain instructive materials (e.g. tutorials and code) for researchers new to the highlighted methods. These include approaches for modeling social decisions, characterizing multivariate neural response patterns at varying spatial scales, using decoded neurofeedback to draw causal links between specific neural response patterns and psychological and behavioral phenomena, examining time-varying patterns of connectivity between brain regions, and characterizing the social networks in which social thought and behavior unfold in everyday life. By combining computational methods for characterizing participants' rich social environments - at the levels of stimuli, paradigms and the webs of social relationships that surround people - with those for capturing the psychological processes that undergird social behavior and the wealth of information contained in neuroimaging datasets, social neuroscientists can gain new insights into how people create, understand and navigate their complex social worlds. © 2021 The Author(s). Published by Oxford University Press. 
650 0 4 |a adult 
650 0 4 |a article 
650 0 4 |a brain 
650 0 4 |a Brain 
650 0 4 |a brain region 
650 0 4 |a cognitive neuroscience 
650 0 4 |a Cognitive Neuroscience 
650 0 4 |a computational social neuroscience 
650 0 4 |a decision making 
650 0 4 |a diagnostic imaging 
650 0 4 |a human 
650 0 4 |a human relation 
650 0 4 |a Humans 
650 0 4 |a Interpersonal Relations 
650 0 4 |a multivoxel pattern analysis 
650 0 4 |a naturalistic neuroimaging 
650 0 4 |a nerve potential 
650 0 4 |a neurofeedback 
650 0 4 |a neuroimaging 
650 0 4 |a neuroimaging 
650 0 4 |a Neuroimaging 
650 0 4 |a neuroscience 
650 0 4 |a neuroscientist 
650 0 4 |a social behavior 
650 0 4 |a Social Behavior 
650 0 4 |a social decision-making 
650 0 4 |a social interaction 
650 0 4 |a social network analysis 
650 0 4 |a social network analysis 
700 1 |a Parkinson, C.  |e author 
773 |t Social Cognitive and Affective Neuroscience