Characterising reward outcome signals in sensory cortex
| Autor: | Raymond J. Dolan, Karl J. Friston, Thomas H. B. FitzGerald |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Credit assignment
Adult Male Cognitive Neuroscience Population Action Potentials Sensory system Stimulus (physiology) Sensitivity and Specificity Article fMRI adaptation 03 medical and health sciences Young Adult 0302 clinical medicine Reward Perceptual learning Feedback Sensory medicine Connectome Humans Sensory cortex Value learning education 030304 developmental biology Visual Cortex 0303 health sciences education.field_of_study Brain Mapping medicine.diagnostic_test Reproducibility of Results Somatosensory Cortex Adequate stimulus Magnetic Resonance Imaging medicine.anatomical_structure Neurology Female Nerve Net Psychology Functional magnetic resonance imaging Neuroscience 030217 neurology & neurosurgery psychological phenomena and processes |
| Zdroj: | Neuroimage NeuroImage |
| ISSN: | 1053-8119 |
| DOI: | 10.1016/j.neuroimage.2013.06.061 |
| Popis: | Reward outcome signalling in the sensory cortex is held as important for linking stimuli to their consequences and for modulating perceptual learning in response to incentives. Evidence for reward outcome signalling has been found in sensory regions including the visual, auditory and somatosensory cortices across a range of different paradigms, but it is unknown whether the population of neurons signalling rewarding outcomes are the same as those processing predictive stimuli. We addressed this question using a multivariate analysis of high-resolution functional magnetic resonance imaging (fMRI), in a task where subjects were engaged in instrumental learning with visual predictive cues and auditory signalled reward feedback. We found evidence that outcome signals in sensory regions localise to the same areas involved in stimulus processing. These outcome signals are non-specific and we show that the neuronal populations involved in stimulus representation are not their exclusive target, in keeping with theoretical models of value learning. Thus, our results reveal one likely mechanism through which rewarding outcomes are linked to predictive sensory stimuli, a link that may be key for both reward and perceptual learning. Highlights • Rewarding outcomes reactivate sensory regions involved in stimulus representation. • Within these regions reward is not directed specifically to stimulus-coding neurons. • This resembles a teaching signal predicted by reinforcement learning models. |
| Databáze: | OpenAIRE |
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