Abstract
Anterior cingulate cortex (ACC) and striatum (STR) contain neurons encoding not only the expected values of actions, but also the value of stimulus features irrespective of actions. Values about stimulus features in ACC or STR might contribute to adaptive behavior by guiding fixational information sampling and biasing choices toward relevant objects, but they might also have indirect motivational functions by enabling subjects to estimate the value of putting effort into choosing objects. Here, we tested these possibilities by modulating neuronal activity in ACC and STR of nonhuman primates using transcranial ultrasound stimulation while subjects learned the relevance of objects in situations with varying motivational and cognitive demands. Motivational demand was indexed by varying gains and losses during learning, while cognitive demand was varied by increasing the uncertainty about which object features could be relevant during learning. We found that ultrasound stimulation of the ACC, but not the STR, reduced learning efficiency and prolonged information sampling when the task required averting losses and motivational demands were high. Reduced learning efficiency was particularly evident at higher cognitive demands and when subjects experienced loss of already attained tokens. These results suggest that the ACC supports flexible learning of feature values when loss experiences impose a motivational challenge and when uncertainty about the relevance of objects is high. Taken together, these findings provide causal evidence that the ACC facilitates resource allocation and improves visual information sampling during adaptive behavior.
Funder
National Institute of Mental Health
National Institute of Biomedical Imaging and Bioengineering
Publisher
Public Library of Science (PLoS)
Subject
General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Neuroscience
Reference75 articles.
1. Amygdala and ventral striatum population codes implement multiple learning rates for reinforcement learning;BB Averbeck;2017 IEEE Symposium Series on Computational Intelligence (SSCI),2017
2. Dorsal Anterior Cingulate Cortex: A Bottom-Up View;SR Heilbronner;Annu Rev Neurosci,2016
3. Multiple neuronal circuits for variable object–action choices based on short- and long-term memories;O Hikosaka;Proc Natl Acad Sci U S A,2019
4. Dorsal anterior cingulate cortex and the value of control;A Shenhav;Nat Neurosci,2016
5. Double Dissociation of Stimulus-Value and Action-Value Learning in Humans with Orbitofrontal or Anterior Cingulate Cortex Damage;N Camille;J Neurosci,2011
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献