NDLI: Neural signature of fictive learning signals in a sequential investment task

Content Provider	PubMed Central
Author	Lohrenz, Terry Mccabe, Kevin Camerer, Colin F. Montague, P. Read
Copyright Year	2007
Abstract	Reinforcement learning models now provide principled guides for a wide range of reward learning experiments in animals and humans. One key learning (error) signal in these models is experiential and reports ongoing temporal differences between expected and experienced reward. However, these same abstract learning models also accommodate the existence of another class of learning signal that takes the form of a fictive error encoding ongoing differences between experienced returns and returns that “could-have-been-experienced” if decisions had been different. These observations suggest the hypothesis that, for all real-world learning tasks, one should expect the presence of both experiential and fictive learning signals. Motivated by this possibility, we used a sequential investment game and fMRI to probe ongoing brain responses to both experiential and fictive learning signals generated throughout the game. Using a large cohort of subjects (n = 54), we report that fictive learning signals strongly predict changes in subjects' investment behavior and correlate with fMRI signals measured in dopaminoceptive structures known to be involved in valuation and choice.
Related Links	http://dx.doi.org/10.1073/pnas.0608842104
Ending Page	9498
Page Count	6
Starting Page	9493
File Format	PDF
ISSN	00278424
e-ISSN	10916490
Journal	Proceedings of the National Academy of Sciences of the United States of America
Issue Number	22
Volume Number	104
Language	English
Publisher	National Academy of Sciences
Publisher Date	2007-05-29
Access Restriction	Open
Rights Holder	National Academy of Sciences
Subject Keyword	General Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Neural signature of fictive learning signals in a sequential investment task.

Cognitive Strategies Regulate Fictive, but not Reward Prediction Error Signals in a Sequential Investment Task

Neural signature of the conscious processing of auditory regularities

Hierarchical coding for sequential task events in the monkey prefrontal cortex

A Neural Representation of Sequential States Within an Instructed Task

Task-specific disruption of perceptual learning

A Neural Signature of Hierarchical Reinforcement Learning

Distributed cortical adaptation during learning of a brain–computer interface task

Task-induced neural covariability as a signature of approximate Bayesian learning and inference

Neural signature of fictive learning signals in a sequential investment task

Similar Documents

Neural signature of fictive learning signals in a sequential investment task.

Cognitive Strategies Regulate Fictive, but not Reward Prediction Error Signals in a Sequential Investment Task

Neural signature of the conscious processing of auditory regularities

Hierarchical coding for sequential task events in the monkey prefrontal cortex

A Neural Representation of Sequential States Within an Instructed Task

Task-specific disruption of perceptual learning

A Neural Signature of Hierarchical Reinforcement Learning

Distributed cortical adaptation during learning of a brain–computer interface task

Task-induced neural covariability as a signature of approximate Bayesian learning and inference

Neural signature of fictive learning signals in a sequential investment task