Retrospective and prospective coding for predicted reward in the sensory thalamus
Yutaka Komura,
Ryoi Tamura,
Teruko Uwano,
Hisao Nishijo,
Kimitaka Kaga and
Taketoshi Ono ()
Additional contact information
Yutaka Komura: Faculty of Medicine, Toyama Medical and Pharmaceutical University
Ryoi Tamura: Faculty of Medicine, Toyama Medical and Pharmaceutical University
Teruko Uwano: Faculty of Medicine, Toyama Medical and Pharmaceutical University
Hisao Nishijo: Faculty of Medicine, Toyama Medical and Pharmaceutical University
Kimitaka Kaga: University of Tokyo School of Medicine
Taketoshi Ono: Faculty of Medicine, Toyama Medical and Pharmaceutical University
Nature, 2001, vol. 412, issue 6846, 546-549
Abstract:
Abstract Reward is important for shaping goal-directed behaviour1,2,3,4. After stimulus–reward associative learning, an organism can assess the motivational value of the incoming stimuli on the basis of past experience (retrospective processing), and predict forthcoming rewarding events (prospective processing)1,2,3,4,5. The traditional role of the sensory thalamus is to relay current sensory information to cortex. Here we find that non-primary thalamic neurons respond to reward-related events in two ways. The early, phasic responses occurred shortly after the onset of the stimuli and depended on the sensory modality. Their magnitudes resisted extinction and correlated with the learning experience. The late responses gradually increased during the cue and delay periods, and peaked just before delivery of the reward. These responses were independent of sensory modality and were modulated by the value and timing of the reward. These observations provide new evidence that single thalamic neurons can code for the acquired significance of sensory stimuli in the early responses (retrospective coding) and predict upcoming reward value in the late responses (prospective coding).
Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.nature.com/articles/35087595 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:412:y:2001:i:6846:d:10.1038_35087595
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/35087595
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().