Auswahl der wissenschaftlichen Literatur zum Thema „Natural rewards“
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Zeitschriftenartikel zum Thema "Natural rewards"
Jamali, Shole, Mohsen Parto Dezfouli, AmirAli Kalbasi, Mohammad Reza Daliri und Abbas Haghparast. „Selective Modulation of Hippocampal Theta Oscillations in Response to Morphine versus Natural Reward“. Brain Sciences 13, Nr. 2 (14.02.2023): 322. http://dx.doi.org/10.3390/brainsci13020322.
Der volle Inhalt der QuelleGomide, Paula Inez Cunha, und Cesar Ades. „Effects of Reward and Familiarity of Reward Agent on Spontaneous Play in Preschoolers: A Field Study“. Psychological Reports 65, Nr. 2 (Oktober 1989): 427–34. http://dx.doi.org/10.2466/pr0.1989.65.2.427.
Der volle Inhalt der QuelleNakamura, K., und T. Ono. „Lateral hypothalamus neuron involvement in integration of natural and artificial rewards and cue signals“. Journal of Neurophysiology 55, Nr. 1 (01.01.1986): 163–81. http://dx.doi.org/10.1152/jn.1986.55.1.163.
Der volle Inhalt der QuelleBastian, Abda Billah Faza Muhammadkan, Wildan Alim Nurhidayah und Yogi Damai Syaputra. „Memberikan Reward sebagai Upaya Meningkatkan Motivasi Belajar Anak“. Jurnal al-Shifa Bimbingan Konseling Islam 3, Nr. 1 (30.06.2022): 40–58. http://dx.doi.org/10.32678/alshifa.v3i1.7875.
Der volle Inhalt der QuelleLardeux, Sylvie, Dany Paleressompoulle, Remy Pernaud, Martine Cador und Christelle Baunez. „Different populations of subthalamic neurons encode cocaine vs. sucrose reward and predict future error“. Journal of Neurophysiology 110, Nr. 7 (01.10.2013): 1497–510. http://dx.doi.org/10.1152/jn.00160.2013.
Der volle Inhalt der QuelleFeng, Yufei, Xiaoyu Yang, Xiaodan Zhu und 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.
Der volle Inhalt der QuellePastor-Bernier, Alexandre, Arkadiusz Stasiak und Wolfram Schultz. „Reward-specific satiety affects subjective value signals in orbitofrontal cortex during multicomponent economic choice“. Proceedings of the National Academy of Sciences 118, Nr. 30 (20.07.2021): e2022650118. http://dx.doi.org/10.1073/pnas.2022650118.
Der volle Inhalt der QuelleHe, Liuyi, Jifeng Luo, Yisong Tang, Zhiyan Wu und Han Zhang. „Motivating User-Generated Content: The Unintended Consequences of Incentive Thresholds“. MIS Quarterly 47, Nr. 3 (01.06.2022): 1015–44. http://dx.doi.org/10.25300/misq/2022/17369.
Der volle Inhalt der QuelleDooren, Marierose M. M. van, Valentijn T. Visch und Renske Spijkerman. „The Design and Application of Game Rewards in Youth Addiction Care“. Information 10, Nr. 4 (06.04.2019): 126. http://dx.doi.org/10.3390/info10040126.
Der volle Inhalt der QuelleRyvkin, 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, Nr. 1 (18.01.2024): e1011054. http://dx.doi.org/10.1371/journal.pgen.1011054.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleCantor, Anna. „Amphetamine sensitization disrupts certain aspects of associative learning about natural rewards“. Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/27911.
Der volle Inhalt der QuelleLund, Lisa, und 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.
Der volle Inhalt der QuelleLite 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.
Den vollen Inhalt der Quelle findenMcGraw, 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.
Der volle Inhalt der QuelleSmith, Aaron Paul. „NEUROBEHAVIORAL MEASUREMENTS OF NATURAL AND OPIOID REWARD VALUE“. UKnowledge, 2019. https://uknowledge.uky.edu/psychology_etds/164.
Der volle Inhalt der QuelleDE, 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.
Der volle Inhalt der QuelleThe 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/.
Der volle Inhalt der QuelleVicq, Eléonore. „Modulation nicotinique de l'activité dopaminergique et des comportements motivés“. Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS135.
Der volle Inhalt der QuelleSmoking 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.
Der volle Inhalt der QuelleTitle from electronic thesis title page (viewed Mar. 23, 2006). Includes abstract. Keywords: limbic, reward, plasticity. Includes bibliographical references.
Bücher zum Thema "Natural rewards"
United States. Bureau of Land Management. Office of Public Affairs, Hrsg. Public rewards from public lands: 2000. Washington, D.C: U.S. Department of the Interior, Bureau of Land Management, Office of Public Affairs, 2000.
Den vollen Inhalt der Quelle findenUnited States. Bureau of Land Management. Public rewards from public lands. [Washington, D.C.]: U.S. Dept. of the Interior, Bureau of Land Management, 1995.
Den vollen Inhalt der Quelle findenUnited States. Bureau of Land Management, Hrsg. Public rewards from public lands. [Washington, D.C.]: U.S. Dept. of the Interior, the Bureau of Land Management, 1997.
Den vollen Inhalt der Quelle findenBartsch, Ulrich. Financial risks and rewards in LNG projects: Qatar, Oman, and Yemen. 2. Aufl. [Oxford]: Oxford Institute for Energy Studies, 1998.
Den vollen Inhalt der Quelle findenUnited States. Bureau of Land Management. Office of Public Affairs und National Science and Technology Center. Branch of Publishing Services, Hrsg. Public rewards from public lands 2003: Montana. Washington, D.C: Bureau of Land Management, Office of Public Affairs, 2003.
Den vollen Inhalt der Quelle findenUnited States. Bureau of Land Management. Office of Public Affairs und National Science and Technology Center. Branch of Publishing Services, Hrsg. Public rewards from public lands 1999: Montana. Washington, D.C: Bureau of Land Management, Office of Public Affairs, 1999.
Den vollen Inhalt der Quelle findenUnited States. Bureau of Land Management. Office of Public Affairs und National Science and Technology Center. Branch of Publishing Services, Hrsg. Public rewards from public lands 2000: Montana. Washington, D.C: Bureau of Land Management, Office of Public Affairs, 2000.
Den vollen Inhalt der Quelle findenUnited States. Bureau of Land Management. Office of Public Affairs und National Science and Technology Center. Branch of Publishing Services, Hrsg. Public rewards from public lands 1997: Montana. Washington, D.C: Bureau of Land Management, Office of Public Affairs, 1997.
Den vollen Inhalt der Quelle findenUnited 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.
Den vollen Inhalt der Quelle findenUnited States. Bureau of Land Management. Office of Public Affairs, Hrsg. Public rewards from public lands: 1999. Washington, D.C: U.S. Department of the Interior, Bureau of Land Management, [Office of Public Affairs], 1999.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "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.
Der volle Inhalt der QuelleCui, Shiliang, Zhongbin Wang und 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.
Der volle Inhalt der Quellevan Daalen, Silke, und 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.
Der volle Inhalt der QuelleLiu, Shilei, Xiaofeng Zhao, Bochao Li und 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.
Der volle Inhalt der QuelleMorbini, Fabrizio, David DeVault, Kenji Sagae, Jillian Gerten, Angela Nazarian und 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.
Der volle Inhalt der QuelleHu, Xiaoxuan, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao und 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.
Der volle Inhalt der QuelleWang, Sheng, Xiaoying Chen und 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.
Der volle Inhalt der QuelleTeichmann, Fabian, und 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.
Der volle Inhalt der QuelleHill, 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. 5. Aufl. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781800620063.0006.
Der volle Inhalt der Quelledu Preez-Wilkinson, Nathaniel, und 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Natural rewards"
Goyal, Prasoon, Scott Niekum und 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.
Der volle Inhalt der QuellePasunuru, Ramakanth, und 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.
Der volle Inhalt der QuelleChawla, Kushal, Balaji Vasan Srinivasan und 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.
Der volle Inhalt der QuellePasunuru, Ramakanth, Han Guo und 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.
Der volle Inhalt der QuelleLee, Youngwon, Jinu Lee und 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.
Der volle Inhalt der QuelleRomano, Giulia, Andrea Agostini, Francesco Trovò, Nicola Gatti und 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.
Der volle Inhalt der QuelleBöhm, Florian, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan und 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.
Der volle Inhalt der QuelleLi, Siyao, Deren Lei, Pengda Qin und 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.
Der volle Inhalt der QuelleCao, Meng, Mukul Sharma, Maria-Magdalena Chiotoroiu und 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.
Der volle Inhalt der QuelleImaizumi, Masaaki, und 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.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Natural rewards"
Carrillo, Paul E., Edgar Castro und Carlos Scartascini. Do Rewards Work?: Evidence from the Randomization of Public Works. Inter-American Development Bank, April 2017. http://dx.doi.org/10.18235/0011793.
Der volle Inhalt der QuelleSouthgate, Douglas. Alternatives for Habitat Protection and Rural Income Generation. Inter-American Development Bank, März 1997. http://dx.doi.org/10.18235/0008857.
Der volle Inhalt der QuelleTimar, Levente. Modelling private land-use decisions affecting forest cover: the effect of land tenure and environmental policy. Motu Economic and Public Policy Research, November 2022. http://dx.doi.org/10.29310/wp.2022.12.
Der volle Inhalt der QuelleKotula, Hannah. Valuing forest ecosystem services in New Zealand. Motu Economic and Public Policy Research, November 2022. http://dx.doi.org/10.29310/wp.2022.11.
Der volle Inhalt der QuelleGreenhill, Lucy, Christopher Leakey und Daniela Diz. Second Workshop report: Mobilising the science community in progessing towards a sustainable and inclusive ocean economy. Scottish Universities Insight Institute, Juli 2021. http://dx.doi.org/10.15664/10023.23693.
Der volle Inhalt der QuelleDe Wit, Paul. Securing Land Tenure for Prosperity of the Planet and its Peoples. Rights and Resources Initiative, Februar 2023. http://dx.doi.org/10.53892/ogcw7082.
Der volle Inhalt der QuelleHefetz, Abraham, und 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, Oktober 2003. http://dx.doi.org/10.32747/2003.7586462.bard.
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