Literatura científica selecionada sobre o tema "Natural rewards"
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Artigos de revistas sobre o assunto "Natural rewards"
Jamali, Shole, Mohsen Parto Dezfouli, AmirAli Kalbasi, Mohammad Reza Daliri e Abbas Haghparast. "Selective Modulation of Hippocampal Theta Oscillations in Response to Morphine versus Natural Reward". Brain Sciences 13, n.º 2 (14 de fevereiro de 2023): 322. http://dx.doi.org/10.3390/brainsci13020322.
Texto completo da fonteGomide, Paula Inez Cunha, e Cesar Ades. "Effects of Reward and Familiarity of Reward Agent on Spontaneous Play in Preschoolers: A Field Study". Psychological Reports 65, n.º 2 (outubro de 1989): 427–34. http://dx.doi.org/10.2466/pr0.1989.65.2.427.
Texto completo da fonteNakamura, K., e T. Ono. "Lateral hypothalamus neuron involvement in integration of natural and artificial rewards and cue signals". Journal of Neurophysiology 55, n.º 1 (1 de janeiro de 1986): 163–81. http://dx.doi.org/10.1152/jn.1986.55.1.163.
Texto completo da fonteBastian, Abda Billah Faza Muhammadkan, Wildan Alim Nurhidayah e Yogi Damai Syaputra. "Memberikan Reward sebagai Upaya Meningkatkan Motivasi Belajar Anak". Jurnal al-Shifa Bimbingan Konseling Islam 3, n.º 1 (30 de junho de 2022): 40–58. http://dx.doi.org/10.32678/alshifa.v3i1.7875.
Texto completo da fonteLardeux, Sylvie, Dany Paleressompoulle, Remy Pernaud, Martine Cador e Christelle Baunez. "Different populations of subthalamic neurons encode cocaine vs. sucrose reward and predict future error". Journal of Neurophysiology 110, n.º 7 (1 de outubro de 2013): 1497–510. http://dx.doi.org/10.1152/jn.00160.2013.
Texto completo da fonteFeng, Yufei, Xiaoyu Yang, Xiaodan Zhu e Michael Greenspan. "Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference". Transactions of the Association for Computational Linguistics 10 (2022): 240–56. http://dx.doi.org/10.1162/tacl_a_00458.
Texto completo da fontePastor-Bernier, Alexandre, Arkadiusz Stasiak e Wolfram Schultz. "Reward-specific satiety affects subjective value signals in orbitofrontal cortex during multicomponent economic choice". Proceedings of the National Academy of Sciences 118, n.º 30 (20 de julho de 2021): e2022650118. http://dx.doi.org/10.1073/pnas.2022650118.
Texto completo da fonteHe, Liuyi, Jifeng Luo, Yisong Tang, Zhiyan Wu e Han Zhang. "Motivating User-Generated Content: The Unintended Consequences of Incentive Thresholds". MIS Quarterly 47, n.º 3 (1 de junho de 2022): 1015–44. http://dx.doi.org/10.25300/misq/2022/17369.
Texto completo da fonteDooren, Marierose M. M. van, Valentijn T. Visch e Renske Spijkerman. "The Design and Application of Game Rewards in Youth Addiction Care". Information 10, n.º 4 (6 de abril de 2019): 126. http://dx.doi.org/10.3390/info10040126.
Texto completo da fonteRyvkin, Julia, Liora Omesi, Yong-Kyu Kim, Mali Levi, Hadar Pozeilov, Lital Barak-Buchris, Bella Agranovich et al. "Failure to mate enhances investment in behaviors that may promote mating reward and impairs the ability to cope with stressors via a subpopulation of Neuropeptide F receptor neurons". PLOS Genetics 20, n.º 1 (18 de janeiro de 2024): e1011054. http://dx.doi.org/10.1371/journal.pgen.1011054.
Texto completo da fonteTeses / dissertações sobre o assunto "Natural rewards"
Becker, Christoph Alexander [Verfasser]. "Neuronal processing of natural rewards / Christoph Alexander Becker". Konstanz : Bibliothek der Universität Konstanz, 2017. http://d-nb.info/1132995639/34.
Texto completo da fonteCantor, Anna. "Amphetamine sensitization disrupts certain aspects of associative learning about natural rewards". Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/27911.
Texto completo da fonteLund, Lisa, e Patrick O'Regan. "Gamifying Natural Language Acquisition : A quantitative study on Swedish antonyms while examining the effects of consensus driven rewards". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187485.
Texto completo da fonteLite forskning har gjorts om antonymer inom natural language acquisition, och mycket av den forskning som finns om antonymer är gjord av Paradis et al. inom lingvistik. Gamifiering har använts inom natural language acquisition, bland annat av Bos och Nissim i deras studie om relationer hos sammansatta substantiv från 2015. Denna rapport försöker besvara följande frågor om svenska antonymer: spelar ordningen på ord i ett antonympar någon roll i hur parets antonymiska styrka uppfattas? Kommer den uppfattade styrkan hos kanoniska antonympar ha lägre varians än deras ickekanoniska motsvarigheter? Rapporten undersöker även huruvida konsensusdriven poängsättning påverkar förekomsten av extremvärden på en ordinalskala. Två parallella delstudier utfördes, en webapp som implementerade konsensusdriven poängsättning, samt ett frågeformulär utan poängsättning. Ordningen av orden i ett antonympar hade ingen signifikant påverkan på dess uppfattade styrka, i enighet med Paradis et al.s studie från 2009. Resultaten angående kanoniska antonymers varians var inte entydiga. Implementationen med konsensusbaserad poängsättning gav fler extremvärden än frågeformuläret. Eftersom detta var en liten studie behövs vidare undersökning för att stärka resultaten.
Doremus-Fitzwater, Tamara L. "Incentive motivational processes in adolescent and adult rats effects of amphetamine sensitization on cue-induced craving for natural rewards /". Diss., Online access via UMI:, 2008.
Encontre o texto completo da fonteMcGraw, Justin James. "Reward processing alterations for natural reward in alcohol-preferring (P) rats: Incentive contrast, reward discrimination, and alcohol consumption". Bowling Green State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1526310548842931.
Texto completo da fonteSmith, Aaron Paul. "NEUROBEHAVIORAL MEASUREMENTS OF NATURAL AND OPIOID REWARD VALUE". UKnowledge, 2019. https://uknowledge.uky.edu/psychology_etds/164.
Texto completo da fonteDE, CHIARA VALENTINA. "The role of endocannabinoid system in stress e natural reward". Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2010. http://hdl.handle.net/2108/1177.
Texto completo da fonteThe endocannabinoid system plays a fundamental role in the regulation of synaptic transmission. Exposure to stressful or rewarding events triggers synaptic adaptations in many brain areas. The activity of the endocannabinoid system in stress-responsive neural circuits and central reward pathway suggests that it may be involved in the behavioural responses and synaptic effects typical of stress, drug addiction an other forms of reward-based behaviors. In the present study, by means of electrophysiological recordings we found that social defeat stress, induced in mice by exposure to aggression, and natural rewards such as running wheel and sucrose consumption, alter in opposite way the cannabinoid CB1 receptor-mediated control of synaptic transmission in the striatum. The striatum plays a central role in motor, cognitive and emotional functions modulated by stress and rewarding agents, and contains high levels of cannabinoid receptors controlling both excitatory and inhibitory synaptic transmission . We found that the presynaptic inhibition of GABAergic inhibitory postsynaptic currents induced by the cannabinoid CB1 receptor agonist HU210 was abolished after chronic stress exposure, whereas it was remarkably potentiated after running wheel and sucrose consumption. In contrast, the sensitivity of glutamate synapses to CB1 receptor stimulation was unaltered, as well as that of GABA synapses to the stimulation of other presynaptic receptors such as GABAB. The alterations of cannabinoid CB1 receptor-mediated responses were slowly reversible and were also detectable following the mobilization of endocannabinoids by metabotropic glutamate receptor 5 stimulation. Finally, we found that the up-regulation of cannabinoid transmission induced by wheel running or sucrose played a crucial role in the protective effects of these environmental manipulations against the motor and synaptic consequences of stress. Since BDNF also play a role in the emotional consequences of stress and of rewarding experiences, we have extended our study to address the functional interplay between BDNF and cannabinoid CB1 receptors in the striatum. We found that BDNF potently inhibits CB1 receptor function in the striatum. The action of BDNF on CB1 receptor function was tyrosine kinase dependent, and was complete even after receptor sensitization with behavioral manipulations activating the reward system. BDNF-mediated regulation of striatal CB1 receptors might have relevant roles in cognitive and behavioral functions and targeting cannabinoid CB1 receptors or endocannabinoid metabolism might be a valuable option to treat stress-associated neuropsychiatric conditions.
Werme, Martin. "On natural and drug-induced reward : genetic, biochemical and behavioral comparisons /". Stockholm : [Karolinska Univ. Press], 2001. http://diss.kib.ki.se/2001/91-7349-027-X/.
Texto completo da fonteVicq, Eléonore. "Modulation nicotinique de l'activité dopaminergique et des comportements motivés". Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS135.
Texto completo da fonteSmoking affects one billion people worldwide, and is responsible for over 8 million preventable deaths a year, making it a major health concern. Nicotine, the main active compound in tobacco, acts on the nervous system by binding to nicotinic acetylcholine receptors (nAChRs). There is a wide diversity of nAChR subunits (��2 to 10 and β2 to 4) which assemble in different combinations to form pentameric receptors with different biophysical properties and localizations. Nicotine concomitantly produces rewarding and aversive effects, promoting and limiting nicotine consumption, respectively. While nAChRs are expressed in the reward system, notably the ventral tegmental area (VTA), they are also present in many other brain regions susceptible to nicotine-induced disruptions. The aim of my thesis work was to investigate the involvement of two non-canonical VTA-connected brain pathways in nicotine addiction: the pathways linking the interpeduncular nucleus (IPN) and the VTA, and the one connecting the VTA to the claustrum (CLA). I first studied the involvement of the IPN in nicotine reinforcement. We showed that IPN neurons respond heterogeneously to nicotine, and discovered that they are sensitive to low doses of nicotine that do not activate the VTA. Using new chemogenetic tools that I have developed, we have shown that β4-containing nAChRs of the IPN act as a brake on the response to nicotine in the VTA, thereby reducing the rewarding effects of the drug. The IPN would therefore contribute not only to aversion but also to nicotine reinforcement. Secondly, I studied how prolonged exposure to nicotine alters social interactions, and the potential involvement of the VTA-CLA pathway in these behavioral perturbations. We showed that chronic nicotine exposure increased the saliency of a novel social stimulus in a three-chamber task, resulting in an increased interaction time with novel conspecifics. Moreover, optogenetic activation of the VTA-CLA pathway induced a loss of preference for the novel social stimulus, while non-contingent optogenetic stimulation replicated the behavioral effects of prolonged nicotine exposure. Therefore, the VTA-CLA pathway seems to be involved in the saliency for new social stimuli, and this function may be disrupted by chronic nicotine exposure. Taken together, these studies highlight the importance of these two non-canonical pathways in nicotine addiction
Davis, Jon Franklin. "A Functional, Anatomical, and Molecular Investigation of Natural Reward: Sexual Plasticity and Limbic System". Cincinnati, Ohio : University of Cincinnati, 2005. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1123831570.
Texto completo da fonteTitle from electronic thesis title page (viewed Mar. 23, 2006). Includes abstract. Keywords: limbic, reward, plasticity. Includes bibliographical references.
Livros sobre o assunto "Natural rewards"
United States. Bureau of Land Management. Office of Public Affairs, ed. Public rewards from public lands: 2000. Washington, D.C: U.S. Department of the Interior, Bureau of Land Management, Office of Public Affairs, 2000.
Encontre o texto completo da fonteUnited States. Bureau of Land Management. Public rewards from public lands. [Washington, D.C.]: U.S. Dept. of the Interior, Bureau of Land Management, 1995.
Encontre o texto completo da fonteUnited States. Bureau of Land Management, ed. Public rewards from public lands. [Washington, D.C.]: U.S. Dept. of the Interior, the Bureau of Land Management, 1997.
Encontre o texto completo da fonteBartsch, Ulrich. Financial risks and rewards in LNG projects: Qatar, Oman, and Yemen. 2a ed. [Oxford]: Oxford Institute for Energy Studies, 1998.
Encontre o texto completo da fonteUnited States. Bureau of Land Management. Office of Public Affairs e National Science and Technology Center. Branch of Publishing Services, eds. Public rewards from public lands 2003: Montana. Washington, D.C: Bureau of Land Management, Office of Public Affairs, 2003.
Encontre o texto completo da fonteUnited States. Bureau of Land Management. Office of Public Affairs e National Science and Technology Center. Branch of Publishing Services, eds. Public rewards from public lands 1999: Montana. Washington, D.C: Bureau of Land Management, Office of Public Affairs, 1999.
Encontre o texto completo da fonteUnited States. Bureau of Land Management. Office of Public Affairs e National Science and Technology Center. Branch of Publishing Services, eds. Public rewards from public lands 2000: Montana. Washington, D.C: Bureau of Land Management, Office of Public Affairs, 2000.
Encontre o texto completo da fonteUnited States. Bureau of Land Management. Office of Public Affairs e National Science and Technology Center. Branch of Publishing Services, eds. Public rewards from public lands 1997: Montana. Washington, D.C: Bureau of Land Management, Office of Public Affairs, 1997.
Encontre o texto completo da fonteUnited States. Bureau of Land Management. Public rewards from public lands: 2007-2008. Washington, D.C: U.S. Department of the Interior, Bureau of Land Management, Office of Public Affairs, 2008.
Encontre o texto completo da fonteUnited States. Bureau of Land Management. Office of Public Affairs, ed. Public rewards from public lands: 1999. Washington, D.C: U.S. Department of the Interior, Bureau of Land Management, [Office of Public Affairs], 1999.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Natural rewards"
Molua, Ernest L. "Global Warming and Carbon Sequestration in Africa’s Forests: Potential Rewards for New Policy Directions in the Congo Basin". In New Frontiers in Natural Resources Management in Africa, 59–77. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11857-0_5.
Texto completo da fonteCui, Shiliang, Zhongbin Wang e Luyi Yang. "Distance-Based Service Priority". In Innovative Priority Mechanisms in Service Operations, 99–118. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30841-3_6.
Texto completo da fontevan Daalen, Silke, e Hal Caswell. "15. Demographic Sources of Variation in Fitness". In Human Evolutionary Demography, 345–60. Cambridge, UK: Open Book Publishers, 2024. http://dx.doi.org/10.11647/obp.0251.15.
Texto completo da fonteLiu, Shilei, Xiaofeng Zhao, Bochao Li e Feiliang Ren. "Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection". In Natural Language Processing and Chinese Computing, 455–66. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88480-2_36.
Texto completo da fonteMorbini, Fabrizio, David DeVault, Kenji Sagae, Jillian Gerten, Angela Nazarian e David Traum. "FLoReS: A Forward Looking, Reward Seeking, Dialogue Manager". In Natural Interaction with Robots, Knowbots and Smartphones, 313–25. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8280-2_28.
Texto completo da fonteHu, Xiaoxuan, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao e Ji-Rong Wen. "RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer". In Natural Language Processing and Chinese Computing, 196–209. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88480-2_16.
Texto completo da fonteWang, Sheng, Xiaoying Chen e Shengwu Xiong. "Attention Based Reinforcement Learning with Reward Shaping for Knowledge Graph Reasoning". In Natural Language Processing and Chinese Computing, 275–87. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88480-2_22.
Texto completo da fonteTeichmann, Fabian, e Marie-Christin Falker. "Compliance Incentives, Whistleblowing, and the Payment of Rewards for Information". In Artificial Intelligence: Anthropogenic Nature vs. Social Origin, 490–99. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39319-9_56.
Texto completo da fonteHill, Berkeley. "Factors of production and their rewards: theory of distribution." In An introduction to economics: concepts for students of agriculture and the rural sector, 115–37. 5a ed. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781800620063.0006.
Texto completo da fontedu Preez-Wilkinson, Nathaniel, e Marcus Gallagher. "Fitness Landscape Features and Reward Shaping in Reinforcement Learning Policy Spaces". In Parallel Problem Solving from Nature – PPSN XVI, 500–514. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58115-2_35.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Natural rewards"
Goyal, Prasoon, Scott Niekum e Raymond J. Mooney. "Using Natural Language for Reward Shaping in Reinforcement Learning". In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/331.
Texto completo da fontePasunuru, Ramakanth, e Mohit Bansal. "Reinforced Video Captioning with Entailment Rewards". In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/d17-1103.
Texto completo da fonteChawla, Kushal, Balaji Vasan Srinivasan e Niyati Chhaya. "Generating Formality-Tuned Summaries Using Input-Dependent Rewards". In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/k19-1078.
Texto completo da fontePasunuru, Ramakanth, Han Guo e Mohit Bansal. "DORB: Dynamically Optimizing Multiple Rewards with Bandits". In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.emnlp-main.625.
Texto completo da fonteLee, Youngwon, Jinu Lee e Seung-won Hwang. "Learning to Rank Generation with Pairwise Partial Rewards". In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.emnlp-main.371.
Texto completo da fonteRomano, Giulia, Andrea Agostini, Francesco Trovò, Nicola Gatti e Marcello Restelli. "Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts". In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/472.
Texto completo da fonteBöhm, Florian, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan e Iryna Gurevych. "Better Rewards Yield Better Summaries: Learning to Summarise Without References". In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1307.
Texto completo da fonteLi, Siyao, Deren Lei, Pengda Qin e William Yang Wang. "Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization". In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1623.
Texto completo da fonteCao, Meng, Mukul Sharma, Maria-Magdalena Chiotoroiu e Torsten Clemens. "Geothermal Energy Recovery for Urban Heating Applications: Risks and Rewards". In SPE Europe Energy Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/220012-ms.
Texto completo da fonteImaizumi, Masaaki, e Ryohei Fujimaki. "Factorized Asymptotic Bayesian Policy Search for POMDPs". In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/607.
Texto completo da fonteRelatórios de organizações sobre o assunto "Natural rewards"
Carrillo, Paul E., Edgar Castro e Carlos Scartascini. Do Rewards Work?: Evidence from the Randomization of Public Works. Inter-American Development Bank, abril de 2017. http://dx.doi.org/10.18235/0011793.
Texto completo da fonteSouthgate, Douglas. Alternatives for Habitat Protection and Rural Income Generation. Inter-American Development Bank, março de 1997. http://dx.doi.org/10.18235/0008857.
Texto completo da fonteTimar, Levente. Modelling private land-use decisions affecting forest cover: the effect of land tenure and environmental policy. Motu Economic and Public Policy Research, novembro de 2022. http://dx.doi.org/10.29310/wp.2022.12.
Texto completo da fonteKotula, Hannah. Valuing forest ecosystem services in New Zealand. Motu Economic and Public Policy Research, novembro de 2022. http://dx.doi.org/10.29310/wp.2022.11.
Texto completo da fonteGreenhill, Lucy, Christopher Leakey e Daniela Diz. Second Workshop report: Mobilising the science community in progessing towards a sustainable and inclusive ocean economy. Scottish Universities Insight Institute, julho de 2021. http://dx.doi.org/10.15664/10023.23693.
Texto completo da fonteDe Wit, Paul. Securing Land Tenure for Prosperity of the Planet and its Peoples. Rights and Resources Initiative, fevereiro de 2023. http://dx.doi.org/10.53892/ogcw7082.
Texto completo da fonteHefetz, Abraham, e Justin O. Schmidt. Use of Bee-Borne Attractants for Pollination of Nonrewarding Flowers: Model System of Male-Sterile Tomato Flowers. United States Department of Agriculture, outubro de 2003. http://dx.doi.org/10.32747/2003.7586462.bard.
Texto completo da fonte