Results 211 to 220 of about 309,314 (246)
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Appetite, 2006
The reinforcing value of food, measured by how hard someone is willing to work to obtain food, is influenced by food palatability, food deprivation and food variety, and may be a more powerful determinant of food intake than hedonics or liking. The reinforcing value of food is mediated in part by dopaminergic activity. Genotypes that influence dopamine
Leonard H, Epstein, John J, Leddy
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The reinforcing value of food, measured by how hard someone is willing to work to obtain food, is influenced by food palatability, food deprivation and food variety, and may be a more powerful determinant of food intake than hedonics or liking. The reinforcing value of food is mediated in part by dopaminergic activity. Genotypes that influence dopamine
Leonard H, Epstein, John J, Leddy
openaire +2 more sources
Intracranial Reinforcement Compared with Sugar-Water Reinforcement
Science, 1965Three ways in which electrical, intracranial reinforcement is reputed to differ from conventional reinforcement were tested in an experiment which equated the form of the responses being reinforced and the response-reinforcement relation. Four groups of rats performed instrumental or consummatory responses reinforced by intracranial reinforcement or ...
W E, GIBSON +3 more
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Reinforcer probability, reinforcer magnitude, and the reinforcement context for remembering.
Journal of Experimental Psychology: Animal Behavior Processes, 2009Traditional theories of delayed matching-to-sample performance do not predict that accuracy will improve when absolute levels of reinforcement are increased. This prediction emerges only when reinforcement context is considered (J. A. Nevin, M. Davison, A. L. Odum, & T. A. Shahan, 2007). To provide quantitative data, the authors factorially manipulated
Glenn S, Brown, K Geoffrey, White
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1991
Sutton [in his PhD thesis] introduced a reinforcement comparison term into the equations governing certain stochastic learning automata, arguing that it should speed up learning, particularly for unbalanced reinforcement tasks. Williams's subsequent extensions [REINFORCE] to the class of algorithms demonstrated that they were all performing approximate
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Sutton [in his PhD thesis] introduced a reinforcement comparison term into the equations governing certain stochastic learning automata, arguing that it should speed up learning, particularly for unbalanced reinforcement tasks. Williams's subsequent extensions [REINFORCE] to the class of algorithms demonstrated that they were all performing approximate
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Using fibre reinforced plastic to reinforce concrete
1992Aussi disponible en français: Utilisation de plastique renforcé de fibres pour armer le ...
Rahman, A. H., Taylor, D. A.
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