Characterising reward outcome signals in sensory cortex

Article English OPEN
Fitzgerald, T. H.; Friston, K. J.; Dolan, R. J.;
  • Publisher: Academic Press
  • Journal: Neuroimage,volume 83,pages329-334 (issn: 1053-8119, eissn: 1095-9572)
  • Related identifiers: doi: 10.1016/j.neuroimage.2013.06.061, pmc: PMC3899024
  • Subject: Reward | Credit assignment | fMRI adaptation | Credit assignment, Reward, Value learning, fMRI adaptation | Cognitive Neuroscience | Neurology | Article | Value learning
    mesheuropmc: psychological phenomena and processes

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... View more
  • References (33)
    33 references, page 1 of 4

    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.

    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.

    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.

  • Related Research Results (1)
  • Metrics
    views in OpenAIRE
    views in local repository
    downloads in local repository

    The information is available from the following content providers:

    FromNumber Of ViewsNumber Of Downloads
    UCL Discovery - IRUS-UK 0 4
Share - Bookmark