Agent-specific learning signals for self–other distinction during mentalising
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pbio.2004752
Download full text from publisher
References listed on IDEAS
- Peter Smittenaar & George Prichard & Thomas H B FitzGerald & Joern Diedrichsen & Raymond J Dolan, 2014. "Transcranial Direct Current Stimulation of Right Dorsolateral Prefrontal Cortex Does Not Affect Model-Based or Model-Free Reinforcement Learning in Humans," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-8, January.
- Chris L. Baker & Julian Jara-Ettinger & Rebecca Saxe & Joshua B. Tenenbaum, 2017. "Rational quantitative attribution of beliefs, desires and percepts in human mentalizing," Nature Human Behaviour, Nature, vol. 1(4), pages 1-10, April.
- Michael R. Hill & Erie D. Boorman & Itzhak Fried, 2016. "Observational learning computations in neurons of the human anterior cingulate cortex," Nature Communications, Nature, vol. 7(1), pages 1-12, November.
- Timothy E. J. Behrens & Laurence T. Hunt & Mark W. Woolrich & Matthew F. S. Rushworth, 2008. "Associative learning of social value," Nature, Nature, vol. 456(7219), pages 245-249, November.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Srishti Goel & Julian Jara-Ettinger & Desmond C. Ong & Maria Gendron, 2024. "Face and context integration in emotion inference is limited and variable across categories and individuals," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
- Jacqueline Scholl & Nils Kolling & Natalie Nelissen & Michael Browning & Matthew F S Rushworth & Catherine J Harmer, 2017. "Beyond negative valence: 2-week administration of a serotonergic antidepressant enhances both reward and effort learning signals," PLOS Biology, Public Library of Science, vol. 15(2), pages 1-30, February.
- Wouter Kool & Fiery A Cushman & Samuel J Gershman, 2016. "When Does Model-Based Control Pay Off?," PLOS Computational Biology, Public Library of Science, vol. 12(8), pages 1-34, August.
- Payam Piray & Nathaniel D Daw, 2020. "A simple model for learning in volatile environments," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-26, July.
- Holger Mohr & Katharina Zwosta & Dimitrije Markovic & Sebastian Bitzer & Uta Wolfensteller & Hannes Ruge, 2018. "Deterministic response strategies in a trial-and-error learning task," PLOS Computational Biology, Public Library of Science, vol. 14(11), pages 1-19, November.
- Amanda Royka & Annie Chen & Rosie Aboody & Tomas Huanca & Julian Jara-Ettinger, 2022. "People infer communicative action through an expectation for efficient communication," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
- Carolyn Yoon & Richard Gonzalez & Antoine Bechara & Gregory Berns & Alain Dagher & Laurette Dubé & Scott Huettel & Joseph Kable & Israel Liberzon & Hilke Plassmann & Ale Smidts & Charles Spence, 2012. "Decision neuroscience and consumer decision making," Marketing Letters, Springer, vol. 23(2), pages 473-485, June.
- Andreea O Diaconescu & Christoph Mathys & Lilian A E Weber & Jean Daunizeau & Lars Kasper & Ekaterina I Lomakina & Ernst Fehr & Klaas E Stephan, 2014. "Inferring on the Intentions of Others by Hierarchical Bayesian Learning," PLOS Computational Biology, Public Library of Science, vol. 10(9), pages 1-19, September.
- M. A. Pisauro & E. F. Fouragnan & D. H. Arabadzhiyska & M. A. J. Apps & M. G. Philiastides, 2022. "Neural implementation of computational mechanisms underlying the continuous trade-off between cooperation and competition," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
- Biele, Guido & Rieskamp, Jörg & Krugel, Lea K. & Heekeren, Hauke R., 2011. "The neural basis of following advice," SFB 649 Discussion Papers 2011-038, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Tapia, Carlos & Coulton, Jeff & Saydam, Serkan, 2020. "Using entropy to assess dynamic behaviour of long-term copper price," Resources Policy, Elsevier, vol. 66(C).
- Dan Bang & Rani Moran & Nathaniel D. Daw & Stephen M. Fleming, 2022. "Neurocomputational mechanisms of confidence in self and others," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
- Koen M. M. Frolichs & Gabriela Rosenblau & Christoph W. Korn, 2022. "Incorporating social knowledge structures into computational models," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
- George I. Christopoulos & Xiao-Xiao Liu & Ying-yi Hong, 2017. "Toward an Understanding of Dynamic Moral Decision Making: Model-Free and Model-Based Learning," Journal of Business Ethics, Springer, vol. 144(4), pages 699-715, September.
- Damon Tomlin & Andrea Nedic & Deborah A Prentice & Philip Holmes & Jonathan D Cohen, 2013. "The Neural Substrates of Social Influence on Decision Making," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-11, January.
- Joseph Simon IV & Erin L. Rich, 2024. "Neural populations in macaque anterior cingulate cortex encode social image identities," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
- Marco Colosio & Anna Shestakova & Vadim Nikulin & Anna Shpektor & Vasily Klucharev, 2015. "Neural Mechanisms of the Postdecisional Spreading-of-Alternatives Effect: Eeg Study," HSE Working papers WP BRP 50/PSY/2015, National Research University Higher School of Economics.
- Uri Hertz & Maria Kelly & Robb B Rutledge & Joel Winston & Nicholas Wright & Raymond J Dolan & Bahador Bahrami, 2016. "Oxytocin Effect on Collective Decision Making: A Randomized Placebo Controlled Study," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-16, April.
- Ting Xiang & Debajyoti Ray & Terry Lohrenz & Peter Dayan & P Read Montague, 2012. "Computational Phenotyping of Two-Person Interactions Reveals Differential Neural Response to Depth-of-Thought," PLOS Computational Biology, Public Library of Science, vol. 8(12), pages 1-9, December.
- Tsutomu Harada, 2021. "Three heads are better than two: Comparing learning properties and performances across individuals, dyads, and triads through a computational approach," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-16, June.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pbio00:2004752. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosbiology (email available below). General contact details of provider: https://journals.plos.org/plosbiology/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.