PMID- 27930904
OWN - NLM
STAT- MEDLINE
DCOM- 20170717
LR  - 20191210
IS  - 1097-4199 (Electronic)
IS  - 0896-6273 (Print)
IS  - 0896-6273 (Linking)
VI  - 92
IP  - 5
DP  - 2016 Dec 7
TI  - Computations Underlying Social Hierarchy Learning: Distinct Neural Mechanisms for 
      Updating and Representing Self-Relevant Information.
PG  - 1135-1147
LID - S0896-6273(16)30802-9 [pii]
LID - 10.1016/j.neuron.2016.10.052 [doi]
AB  - Knowledge about social hierarchies organizes human behavior, yet we understand 
      little about the underlying computations. Here we show that a Bayesian inference 
      scheme, which tracks the power of individuals, better captures behavioral and 
      neural data compared with a reinforcement learning model inspired by rating 
      systems used in games such as chess. We provide evidence that the medial 
      prefrontal cortex (MPFC) selectively mediates the updating of knowledge about 
      one's own hierarchy, as opposed to that of another individual, a process that 
      underpinned successful performance and involved functional interactions with the 
      amygdala and hippocampus. In contrast, we observed domain-general coding of rank 
      in the amygdala and hippocampus, even when the task did not require it. Our 
      findings reveal the computations underlying a core aspect of social cognition and 
      provide new evidence that self-relevant information may indeed be afforded a 
      unique representational status in the brain.
CI  - Copyright A(c) 2016 The Authors. Published by Elsevier Inc. All rights reserved.
FAU - Kumaran, Dharshan
AU  - Kumaran D
AD  - Google DeepMind, 5 New Street Square, London EC4A 3TW, UK; Institute of Cognitive 
      Neuroscience, University College London, 17 Queen Square, London WC1N 3AR, UK. 
      Electronic address: dkumaran@google.com.
FAU - Banino, Andrea
AU  - Banino A
AD  - Google DeepMind, 5 New Street Square, London EC4A 3TW, UK.
FAU - Blundell, Charles
AU  - Blundell C
AD  - Google DeepMind, 5 New Street Square, London EC4A 3TW, UK.
FAU - Hassabis, Demis
AU  - Hassabis D
AD  - Google DeepMind, 5 New Street Square, London EC4A 3TW, UK; Gatsby Computational 
      Neuroscience Unit, 25 Howland Street, London W1T 4JG, UK.
FAU - Dayan, Peter
AU  - Dayan P
AD  - Gatsby Computational Neuroscience Unit, 25 Howland Street, London W1T 4JG, UK.
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Neuron
JT  - Neuron
JID - 8809320
SB  - IM
MH  - Adult
MH  - Amygdala/diagnostic imaging/*physiology
MH  - Bayes Theorem
MH  - Brain/diagnostic imaging/physiology
MH  - Female
MH  - Functional Neuroimaging
MH  - *Hierarchy, Social
MH  - Hippocampus/diagnostic imaging/*physiology
MH  - Humans
MH  - Learning/*physiology
MH  - Magnetic Resonance Imaging
MH  - Male
MH  - Models, Neurological
MH  - Models, Psychological
MH  - Neural Pathways/diagnostic imaging/physiology
MH  - Prefrontal Cortex/diagnostic imaging/*physiology
MH  - Reinforcement, Psychology
MH  - *Self Concept
MH  - Young Adult
PMC - PMC5158095
OTO - NOTNLM
OT  - Bayesian
OT  - hippocampus
OT  - learning
OT  - memory
OT  - prefrontal cortex
OT  - reinforcement learning
OT  - social hierarchy
EDAT- 2016/12/09 06:00
MHDA- 2017/07/18 06:00
PMCR- 2016/12/07
CRDT- 2016/12/09 06:00
PHST- 2016/07/10 00:00 [received]
PHST- 2016/09/17 00:00 [revised]
PHST- 2016/10/21 00:00 [accepted]
PHST- 2016/12/09 06:00 [entrez]
PHST- 2016/12/09 06:00 [pubmed]
PHST- 2017/07/18 06:00 [medline]
PHST- 2016/12/07 00:00 [pmc-release]
AID - S0896-6273(16)30802-9 [pii]
AID - 10.1016/j.neuron.2016.10.052 [doi]
PST - ppublish
SO  - Neuron. 2016 Dec 7;92(5):1135-1147. doi: 10.1016/j.neuron.2016.10.052.