publication . Article . 2013

Characterising reward outcome signals in sensory cortex

FitzGerald, Thomas H.B.; Friston, Karl J.; Dolan, Raymond J.;
Open Access English
  • Published: 01 Dec 2013 Journal: volume 83, pages 329-334issn: 1053-8119, eissn: 1095-9572, Copyright policy
  • Publisher: Academic Press
Abstract
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 wit...
Subjects
mesheuropmc: psychological phenomena and processes
free text keywords: Reward, Credit assignment, fMRI adaptation, Credit assignment, Reward, Value learning, fMRI adaptation, Cognitive Neuroscience, Neurology, Article, Value learning
Funded by
WT| Core support for the Wellcome Trust Centre for Neuroimaging
Project
  • Funder: Wellcome Trust (WT)
  • Project Code: 091593
  • Funding stream: Neurosciences and Mental Health, Molecular and Cellular Neurosciences, Cognitive and Higher Systems ; Neuroscience and Mental Health
,
WT| The neurobiology of motivation in health and disease.
Project
  • Funder: Wellcome Trust (WT)
  • Project Code: 098362
  • Funding stream: Neurosciences and Mental Health, Molecular and Cellular Neurosciences, Cognitive and Higher Systems ; Neuroscience and Mental Health
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Brosch, M., Selezneva, E., Scheich, H., 2011. Representation of reward feedback in primate auditory cortex. Front. Syst. Neurosci. 5, 5. [OpenAIRE]

Calabresi, P., Picconi, B., Tozzi, A., Di Filippo, M., 2007. Dopamine-mediated regulation of corticostriatal synaptic plasticity. Trends Neurosci. 30, 211-219.

Crick, F., 1989. The recent excitement about neural networks. Nature 337, 129-132.

Fang, F., Murray, S.O., He, S., 2007. Duration-dependent FMRI adaptation and distributed viewer-centered face representation in human visual cortex. Cereb. Cortex 17, 1402-1411.

Feldman, H., Friston, K.J., 2010. Attention, uncertainty, and free-energy. Front. Hum. Neurosci. 4, 215.

FitzGerald, T.H.B., Friston, K.J., Dolan, R.J., 2012. Action-specific value signals in rewardrelated regions of the human brain. J. Neurosci. 32, 16417-16423.

Friston, K., Kiebel, S., 2009. Predictive coding under the free-energy principle. Philos. Trans. R. Soc. Lond. B Biol. Sci. 364, 1211-1221. [OpenAIRE]

Friston, K.J., Tononi, G., Reeke, G.N., Sporns, O., Edelman, G.M., 1994. Value-dependent selection in the brain: simulation in a synthetic neural model. Neuroscience 59, 229-243.

Garrido, M.I., Kilner, J.M., Stephan, K.E., Friston, K.J., 2009. The mismatch negativity: a review of underlying mechanisms. Clin. Neurophysiol. 120, 453-463. [OpenAIRE]

Grill-Spector, K., Henson, R., Martin, A., 2006. Repetition and the brain: neural models of stimulus-specific effects. Trends Cogn. Sci. 10, 14-23.

Hutton, C., Bork, A., Josephs, O., Deichmann, R., Ashburner, J., Turner, R., 2002. Image distortion correction in fMRI: a quantitative evaluation. NeuroImage 16, 217-240.

Hutton, C., Josephs, O., Stadler, J., Featherstone, E., Reid, A., Speck, O., Bernarding, J., Weiskopf, N., 2011. The impact of physiological noise correction on fMRI at 7 T. NeuroImage 57, 101-112. [OpenAIRE]

Izhikevich, E.M., 2007. Solving the distal reward problem through linkage of STDP and dopamine signaling. Cereb. Cortex 17, 2443-2452. [OpenAIRE]

33 references, page 1 of 3
Abstract
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 wit...
Subjects
mesheuropmc: psychological phenomena and processes
free text keywords: Reward, Credit assignment, fMRI adaptation, Credit assignment, Reward, Value learning, fMRI adaptation, Cognitive Neuroscience, Neurology, Article, Value learning
Funded by
WT| Core support for the Wellcome Trust Centre for Neuroimaging
Project
  • Funder: Wellcome Trust (WT)
  • Project Code: 091593
  • Funding stream: Neurosciences and Mental Health, Molecular and Cellular Neurosciences, Cognitive and Higher Systems ; Neuroscience and Mental Health
,
WT| The neurobiology of motivation in health and disease.
Project
  • Funder: Wellcome Trust (WT)
  • Project Code: 098362
  • Funding stream: Neurosciences and Mental Health, Molecular and Cellular Neurosciences, Cognitive and Higher Systems ; Neuroscience and Mental Health
33 references, page 1 of 3

Ashburner, J., 2007. A fast diffeomorphic image registration algorithm. NeuroImage 38, 95-113.

Bailey, C.H., Giustetto, M., Huang, Y.Y., Hawkins, R.D., Kandel, E.R., 2000. Is heterosynaptic modulation essential for stabilizing Hebbian plasticity and memory? Nature reviews. Neuroscience 1, 11-20.

Brosch, M., Selezneva, E., Scheich, H., 2011. Representation of reward feedback in primate auditory cortex. Front. Syst. Neurosci. 5, 5. [OpenAIRE]

Calabresi, P., Picconi, B., Tozzi, A., Di Filippo, M., 2007. Dopamine-mediated regulation of corticostriatal synaptic plasticity. Trends Neurosci. 30, 211-219.

Crick, F., 1989. The recent excitement about neural networks. Nature 337, 129-132.

Fang, F., Murray, S.O., He, S., 2007. Duration-dependent FMRI adaptation and distributed viewer-centered face representation in human visual cortex. Cereb. Cortex 17, 1402-1411.

Feldman, H., Friston, K.J., 2010. Attention, uncertainty, and free-energy. Front. Hum. Neurosci. 4, 215.

FitzGerald, T.H.B., Friston, K.J., Dolan, R.J., 2012. Action-specific value signals in rewardrelated regions of the human brain. J. Neurosci. 32, 16417-16423.

Friston, K., Kiebel, S., 2009. Predictive coding under the free-energy principle. Philos. Trans. R. Soc. Lond. B Biol. Sci. 364, 1211-1221. [OpenAIRE]

Friston, K.J., Tononi, G., Reeke, G.N., Sporns, O., Edelman, G.M., 1994. Value-dependent selection in the brain: simulation in a synthetic neural model. Neuroscience 59, 229-243.

Garrido, M.I., Kilner, J.M., Stephan, K.E., Friston, K.J., 2009. The mismatch negativity: a review of underlying mechanisms. Clin. Neurophysiol. 120, 453-463. [OpenAIRE]

Grill-Spector, K., Henson, R., Martin, A., 2006. Repetition and the brain: neural models of stimulus-specific effects. Trends Cogn. Sci. 10, 14-23.

Hutton, C., Bork, A., Josephs, O., Deichmann, R., Ashburner, J., Turner, R., 2002. Image distortion correction in fMRI: a quantitative evaluation. NeuroImage 16, 217-240.

Hutton, C., Josephs, O., Stadler, J., Featherstone, E., Reid, A., Speck, O., Bernarding, J., Weiskopf, N., 2011. The impact of physiological noise correction on fMRI at 7 T. NeuroImage 57, 101-112. [OpenAIRE]

Izhikevich, E.M., 2007. Solving the distal reward problem through linkage of STDP and dopamine signaling. Cereb. Cortex 17, 2443-2452. [OpenAIRE]

33 references, page 1 of 3
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publication . Article . 2013

Characterising reward outcome signals in sensory cortex

FitzGerald, Thomas H.B.; Friston, Karl J.; Dolan, Raymond J.;