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  • 1
    Publication Date: 2013-08-03
    Description: Whereas reward (appetitiveness) and aversiveness (punishment) have been distinguished as two discrete dimensions within psychology and behavior, physiological and computational models of their neural representation have treated them as opposite sides of a single continuous dimension of "value." Here, I show that although dopamine neurons of the primate ventral midbrain are activated by evidence for reward and suppressed by evidence against reward, they are insensitive to aversiveness. This indicates that reward and aversiveness are represented independently as two dimensions, even by neurons that are closely related to motor function. Because theory and experiment support the existence of opponent neural representations for value, the present results imply four types of value-sensitive neurons corresponding to reward-ON (dopamine), reward-OFF, aversive-ON, and aversive-OFF.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Fiorillo, Christopher D -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2013 Aug 2;341(6145):546-9. doi: 10.1126/science.1238699.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Bio and Brain Engineering, KAIST (Korea Advanced Institute of Science and Technology), Yuseong-gu, Daejeon, Republic of Korea. fiorillo@kaist.ac.kr〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23908236" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Appetitive Behavior/*physiology ; Conditioning, Classical/physiology ; Dopaminergic Neurons/*physiology ; Female ; Macaca mulatta ; Male ; Mesencephalon/cytology/*physiology ; Punishment/*psychology ; *Reward
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2005-03-12
    Description: It is important for animals to estimate the value of rewards as accurately as possible. Because the number of potential reward values is very large, it is necessary that the brain's limited resources be allocated so as to discriminate better among more likely reward outcomes at the expense of less likely outcomes. We found that midbrain dopamine neurons rapidly adapted to the information provided by reward-predicting stimuli. Responses shifted relative to the expected reward value, and the gain adjusted to the variance of reward value. In this way, dopamine neurons maintained their reward sensitivity over a large range of reward values.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tobler, Philippe N -- Fiorillo, Christopher D -- Schultz, Wolfram -- 095495/Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2005 Mar 11;307(5715):1642-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Anatomy, University of Cambridge, Downing Street, Cambridge CB2 3DY, UK, and Institute of Physiology, University of Fribourg, CH-1700 Fribourg, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15761155" target="_blank"〉PubMed〈/a〉
    Keywords: *Adaptation, Physiological ; Animals ; Discrimination (Psychology) ; Dopamine/*physiology ; Electrophysiology ; Female ; Learning ; Macaca fascicularis ; Mesencephalon/cytology/*physiology ; Neurons/*physiology ; Photic Stimulation ; Probability ; *Reward
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2003-03-22
    Description: Uncertainty is critical in the measure of information and in assessing the accuracy of predictions. It is determined by probability P, being maximal at P = 0.5 and decreasing at higher and lower probabilities. Using distinct stimuli to indicate the probability of reward, we found that the phasic activation of dopamine neurons varied monotonically across the full range of probabilities, supporting past claims that this response codes the discrepancy between predicted and actual reward. In contrast, a previously unobserved response covaried with uncertainty and consisted of a gradual increase in activity until the potential time of reward. The coding of uncertainty suggests a possible role for dopamine signals in attention-based learning and risk-taking behavior.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Fiorillo, Christopher D -- Tobler, Philippe N -- Schultz, Wolfram -- 095495/Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2003 Mar 21;299(5614):1898-902.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute of Physiology, University of Fribourg, CH-1700 Fribourg, Switzerland. cdf28@cam.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12649484" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Attention ; Conditioning, Classical ; Discrimination (Psychology) ; Dopamine/*physiology ; Electrophysiology ; Female ; Learning ; Linear Models ; Macaca fascicularis ; Mesencephalon/cytology/*physiology ; Motivation ; Neurons/*physiology ; Photic Stimulation ; Probability ; Reinforcement (Psychology) ; *Reward ; Risk-Taking ; *Uncertainty
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Electronic Resource
    Electronic Resource
    [s.l.] : Macmillan Magazines Ltd.
    Nature 394 (1998), S. 78-82 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Rapid information transfer within the brain depends on chemical signalling between neurons that is mediated primarily by glutamate and GABA (γ-aminobutyric acid), acting at ionotropic receptors to cause excitatory or inhibitory postsynaptic potentials (EPSPs or IPSPs), respectively. In ...
    Type of Medium: Electronic Resource
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  • 5
    Publication Date: 1998-07-01
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 6
    Publication Date: 2013-08-01
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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