English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Mesolimbic confidence signals guide perceptual learning in the absence of external feedback

Guggenmos, M., Wilbertz, G., Hebart, M. N., & Sterzer, P. (2016). Mesolimbic confidence signals guide perceptual learning in the absence of external feedback. eLife, 5: e13388. doi:10.7554/eLife.13388.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0005-20EA-F Version Permalink: http://hdl.handle.net/21.11116/0000-0005-20ED-C
Genre: Journal Article

Files

show Files
hide Files
:
Guggenmos_2016.pdf (Publisher version), 2MB
Name:
Guggenmos_2016.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Guggenmos, Matthias 1, Author
Wilbertz, Gregor 1, Author
Hebart, Martin N.1, Author              
Sterzer, Philipp 1, Author
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: confidence; feedback; human; neuroscience; perceptual learning; reinforcement learning; ventral striatum
 Abstract: It is well established that learning can occur without external feedback, yet normative reinforcement learning theories have difficulties explaining such instances of learning. Here, we propose that human observers are capable of generating their own feedback signals by monitoring internal decision variables. We investigated this hypothesis in a visual perceptual learning task using fMRI and confidence reports as a measure for this monitoring process. Employing a novel computational model in which learning is guided by confidence-based reinforcement signals, we found that mesolimbic brain areas encoded both anticipation and prediction error of confidence—in remarkable similarity to previous findings for external reward-based feedback. We demonstrate that the model accounts for choice and confidence reports and show that the mesolimbic confidence prediction error modulation derived through the model predicts individual learning success. These results provide a mechanistic neurobiological explanation for learning without external feedback by augmenting reinforcement models with confidence-based feedback.

Details

show
hide
Language(s): eng - English
 Dates: 2015-11-292016-03-032016-03-29
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.7554/eLife.13388
PMID: 27021283
PMC: PMC4821804
PII: e13388
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: eLife
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 5 Sequence Number: e13388 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X