TY - JOUR
T1 - The expected value of control
T2 - An integrative theory of anterior cingulate cortex function
AU - Shenhav, Amitai
AU - Botvinick, Matthew M.
AU - Cohen, Jonathan D.
N1 - Funding Information:
This work is supported by the C.V. Starr Foundation (A.S.), the National Institute of Mental Health R01MH098815-01 (M.M.B), and the John Templeton Foundation. The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of the John Templeton Foundation.
PY - 2013/7/24
Y1 - 2013/7/24
N2 - The dorsal anterior cingulate cortex (dACC) has a near-ubiquitous presence in the neuroscience of cognitive control. It has been implicated in a diversity of functions, from reward processing and performance monitoring to the execution of control and action selection. Here, we propose that this diversity can be understood in terms of a single underlying function: allocation of control based on an evaluation of the expected value of control (EVC). We present a normative model of EVC that integrates three critical factors: the expected payoff from a controlled process, the amount of control that must be invested to achieve that payoff, and the cost in terms of cognitive effort. We propose that dACC integrates this information, using it to determine whether, where and how much control to allocate. We then consider how the EVC model can explain the diverse array of findings concerning dACC function
AB - The dorsal anterior cingulate cortex (dACC) has a near-ubiquitous presence in the neuroscience of cognitive control. It has been implicated in a diversity of functions, from reward processing and performance monitoring to the execution of control and action selection. Here, we propose that this diversity can be understood in terms of a single underlying function: allocation of control based on an evaluation of the expected value of control (EVC). We present a normative model of EVC that integrates three critical factors: the expected payoff from a controlled process, the amount of control that must be invested to achieve that payoff, and the cost in terms of cognitive effort. We propose that dACC integrates this information, using it to determine whether, where and how much control to allocate. We then consider how the EVC model can explain the diverse array of findings concerning dACC function
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U2 - 10.1016/j.neuron.2013.07.007
DO - 10.1016/j.neuron.2013.07.007
M3 - Review article
C2 - 23889930
AN - SCOPUS:84880660982
SN - 0896-6273
VL - 79
SP - 217
EP - 240
JO - Neuron
JF - Neuron
IS - 2
ER -