Relevant bibliographies by topics / Decision Neuroscience

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Decision Neuroscience'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Decision Neuroscience"

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Sanfey, Alan G. "Decision Neuroscience." Current Directions in Psychological Science 16, no. 3 (2007): 151–55. http://dx.doi.org/10.1111/j.1467-8721.2007.00494.x.

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Shiv, Baba, Antoine Bechara, Irwin Levin, et al. "Decision Neuroscience." Marketing Letters 16, no. 3-4 (2005): 375–86. http://dx.doi.org/10.1007/s11002-005-5899-8.

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Munidewi, Ida, Unti Ludigdo, Ali Djamhuri, and Wuryan Andayani. "Role of Affective Neuroscience in Audit Judgement and Decisions Making: A Systematic Literature Review for Auditing Research." Australasian Business, Accounting and Finance Journal 18, no. 1 (2024): 130–47. http://dx.doi.org/10.14453/aabfj.v18i1.08.

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This research aims to determine the connection of audit judgment and decision making with affective neuroscience. Systematic Literature Review explores the research of audit judgment and decision making being dominated by the role of cognitive issues in judgment and decision making, but only a few reviews about the role of affect. Thus, it is necessary to balance both affective and cognitive variables. This research reviews seven auditing articles that elaborate on the affective role in audit judgment and decision making, six articles related to Affective Neuroscience, mindful judgment and dec
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Smith, David V., and Scott A. Huettel. "Decision neuroscience: neuroeconomics." Wiley Interdisciplinary Reviews: Cognitive Science 1, no. 6 (2010): 854–71. http://dx.doi.org/10.1002/wcs.73.

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Yoon, Carolyn, Richard Gonzalez, Antoine Bechara, et al. "Decision neuroscience and consumer decision making." Marketing Letters 23, no. 2 (2012): 473–85. http://dx.doi.org/10.1007/s11002-012-9188-z.

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Hansen, Flemming, Peter Kenning, and Hilke Plassmann. "Contributions to decision neuroscience." Journal of Economic Psychology 31, no. 5 (2010): 764–66. http://dx.doi.org/10.1016/j.joep.2010.03.001.

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Dal Santo, Diego Andrés. "Law and neuroscience. Judges’ decision making." Perspectivas 14, no. 2 (2024): 61–74. http://dx.doi.org/10.19137/perspectivas-2024-v14n2a04.

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The text explores the relationship between neuroscience and law, focusing on how brain processes affect judicial decisions. Brain systems 1 and 2 are distinguished, as they operate intuitively and deliberately re-spectively, and their implications in perception, memory, cognitive biases, heuristics and decision making in the judicial field are examined. In ad-dition, the role of emotions, stress and empathy in judicial impartiality is analyzed, as well as the importance of non-verbal communication in the assessment of testimonial evidence. It is highlighted how personal biases and attitudes al
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Hayden, Benjamin Y., and Patrick Haggard. "Neuroscience: Decision, Insight and Intention." Current Biology 27, no. 15 (2017): R750—R753. http://dx.doi.org/10.1016/j.cub.2017.06.065.

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Bossaerts, Peter. "What Decision Neuroscience Teaches Us About Financial Decision Making." Annual Review of Financial Economics 1, no. 1 (2009): 383–404. http://dx.doi.org/10.1146/annurev.financial.102708.141514.

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Strle, Toma, and Olga Markič. "Looping effects of neurolaw, and the precarious marriage between neuroscience and the law." Balkan Journal of Philosophy 10, no. 1 (2018): 17–26. http://dx.doi.org/10.5840/bjp20181013.

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In the following article we first present the growing trend of incorporating neuroscience into the law, and the growing acceptance of and trust in neuroscience’s mechanistic and reductionistic explanations of the human mind. We then present and discuss some studies that show how nudging peoples’ beliefs about matters related to human agency (such as free will, decision-making, or self-control) towards a more deterministic, mechanistic and/or reductionistic conception, exerts an influence on their very actions, mentality, and brain processes. We suggest that the neuroscientific view of the huma
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Dissertations / Theses on the topic "Decision Neuroscience"

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Karlsson, Markus. "The Neuroscience of Decision Making : The Importance of Emotional Neural Circuits in Decision Making." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16033.

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The neuroscience of decision making is laying the puzzle of how the brain computes decisions. It tries to sort out which factors are responsible for causing us to choose one way or the other. This thesis reviews to what extent emotional brain processes and their neural circuits impact decision making. The somatic marker hypothesis (SMH) provides a solid dual-system framework for decision making. Dissociating an impulsive system, in which the amygdala is central, and a reflective system mediated by the ventromedial prefrontal cortex(VMPFC). The SMH emphasizes the function of the VMPFC as necess
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Blum, Bridget E. "Consumer Neuroscience: A Multi-disciplinary Approach to Marketing Leveraging Advances in Neuroscience, Psychology and Economics." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1414.

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For decades, neuroscience has greatly contributed to our foundational understanding of human behavior. More recently, the findings and methods of neuroscience have been applied to study the process of decision-making in order to offer advanced insights into the neural mechanisms that influence economic and consumer choices. In this thesis, I will address how customized marketing strategies can be enriched through the integration of consumer neuroscience, an integrative field anchored in the biological, cognitive and affective mechanisms of consumer behavior. By recognizing and utilizing these
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Topalidou, Meropi. "Neuroscience of decision making : from goal-directed actions to habits." Thesis, Bordeaux, 2016. http://www.theses.fr/2016BORD0174/document.

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Les processus de type “action-conséquence” (orienté vers un but) et stimulus-réponse sont deux composants importants du comportement. Le premier évalue le bénéfice d’une action pour choisir la meilleure parmi celles disponibles (sélection d’action) alors que le deuxième est responsable du comportement automatique, suscitant une réponse dès qu’un stimulus connu est présent. De telles habitudes sont généralement associées (et surtout opposées) aux actions orientées vers un but qui nécessitent un processus délibératif pour évaluer la meilleure option à prendre pour atteindre un objectif donné. En
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Kolling, Nils Stephen. "Decision making, the frontal lobes and foraging behaviour." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:ea509f5e-dca4-44e5-9f3f-f7d6550e5b45.

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The aim of this thesis was to understand the function of the frontal lobes during different types of decisions thusfar mostly neglected in cognitive neuroscience. Namely, I sought to understand how decisions are made when comparisons are not about a simple set of concrete options presented, but rather require a comparison with one specific encounter and a sense of the value of the current environment <b>(Chapter 2-3)</b>. Additionally, I wanted to understand how decisions between concrete options can be contextualized by the current environment to allow considerations about changing environmen
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Li, Xiaogai. "Finite Element and Neuroimaging Techniques toImprove Decision-Making in Clinical Neuroscience." Doctoral thesis, KTH, Neuronik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-72345.

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Our brain, perhaps the most sophisticated and mysterious part of the human body, to some extent, determines who we are. However, it’s a vulnerable organ. When subjected to an impact, such as a traffic accident or sport, it may lead to traumatic brain injury (TBI) which can have devastating effects for those who suffer the injury. Despite lots of efforts have been put into primary injury prevention, the number of TBIs is still on an unacceptable high level in a global perspective. Brain edema is a major neurological complication of moderate and severe TBI, which consists of an abnormal accumula
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Chang, Luke Joseph. "Deconstructing the Role of Expectations in Cooperative Behavior with Decision Neuroscience." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/223343.

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This project attempts to understand the role of expectations in cooperative behavior using the interdisciplinary approach of Decision Neuroscience. While cooperation provides the foundation for a successful society, the underlying bio-psycho-social mechanisms remain surprisingly poorly understood. This investigation deconstructs cooperation into the specific behaviors of trust, reciprocation, and norm enforcement using the Trust and Ultimatum Games from behavioral economics and combines formal modeling and functional magnetic resonance imaging to understand the neurocomputational role of exp
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Lara, Lopez Luis Alejandro. "The role of neuroscience and neurotechnology: decision making in corporate enviroments." reponame:Repositório Institucional do FGV, 2016. http://hdl.handle.net/10438/17979.

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Endres, Dominik M. "Bayesian and information-theoretic tools for neuroscience." Thesis, St Andrews, 2006. http://hdl.handle.net/10023/162.

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Zhou, Yating. "Dissection of navigation decision after mechanical stimulation in Drosophila." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110655.

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Proper selection of new moving direction after external mechanical stimulation is essential for animals to avoid danger (i.e. predators), and thus is vital for survival. This process involves sensory inputs, central processing and motor outputs. Recent studies have made considerable progress in identifying mechanosensory neurons and mechanosensation receptor proteins. The molecular and cellular mechanisms that convert mechanosensation into proper navigation decision, however, remain largely undefined. In this study, I investigate the control of navigation decision in Drosophila. In response t
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Boldt, Annika. "Metacognition in decision making." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:5d9b2036-cc42-4515-b40e-97bb3ddb1d78.

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Humans effortlessly and accurately judge their subjective probability of being correct in a given decision, leading to the view that metacognition is integral to decision making. This thesis reports a series of experiments assessing people’s confidence and error-detection judgements. These different types of metacognitive judgements are highly similar with regard to their methodology, but have been studied largely separately. I provide data indicating that these judgements are fundamentally linked and that they rely on shared cognitive and neural mechanisms. As a first step towards such a join
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Books on the topic "Decision Neuroscience"

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Gier, Nadine R. Consumer Decision Neuroscience. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-38206-3.

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Reyna, Valerie F., and Vivian Zayas, eds. The neuroscience of risky decision making. American Psychological Association, 2014. http://dx.doi.org/10.1037/14322-000.

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Graziano, Mario. Epistemology of decision: Rational choice, neuroscience and biological approaches. Springer, 2013.

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Rolls, Edmund T. Memory, attention, and decision-making: A unifying computational neuroscience approach. Oxford University Press, 2008.

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Maldonato, Mauro. The predictive brain: Consciousness, decision and embodied action. Sussex Academic Press, 2014.

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Schultz, Wolfram. Neuroeconomics: Papers of a theme issue. The Royal Society, 2008.

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Politser, Peter E. Neurorationality: A neuroeconomic approach to mental health and good sense. Oxford University Press, 2006.

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1966-, Bruya Brian, ed. Effortless attention: A new perspective in the cognitive science of attention and action. MIT Press, 2010.

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Ernst Strüngmann Forum (2007 Frankfurt, Germany). Better than conscious?: Decision making, the human mind, and implications for institutions. MIT Press, 2008.

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Shankar, Maya U., and Samuel M. McClure. Decision Neuroscience. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199988709.013.0021.

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Book chapters on the topic "Decision Neuroscience"

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Wang, Xiao-Jing. "Decision Making." In Theoretical Neuroscience. CRC Press, 2025. https://doi.org/10.1201/9781003459361-8.

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Moulin, Thierry, and Laurent Tatu. "Neuroscience and Decision-Making." In Deciding Where to Live. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-15542-1_5.

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Gier, Nadine R. "Theoretische und begriffliche Grundlagen der Consumer Decision Neuroscience." In Consumer Decision Neuroscience. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-38206-3_2.

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ZusammenfassungIm folgenden Kapitel 2 werden die theoretischen und begrifflichen Grundlagen der Consumer Decision Neuroscience dargestellt. Dabei werden in Abschnitt 2.1 zunächst ökonomische, behavioristische und kognitive Ansätze beschrieben, wobei das Kapitel mit ersten Dual-Process Theorien und dazugehörigen Kritikpunkten endet, die eine theoretische Weiterentwicklung der Modelle durch die Integration von neurowissenschaftlichen Erkenntnissen zur Erklärung von Konsumentenentscheidungsprozessen avisieren. Die Forschungsgebiete, die sich aus dieser neurowissenschaftlichen Integration ergeben,
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Gier, Nadine R. "Einleitung." In Consumer Decision Neuroscience. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-38206-3_1.

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ZusammenfassungDieses Open-Access-Buch zur Consumer Decision Neuroscience verfolgt das Ziel, durch die Integration neurowissenschaftlicher Methoden in die Käufer- und Konsumentenverhaltensforschung die Identifikation verhaltensrelevanter, neurophysiologischer Variablen zu ermöglichen, um darauf aufbauend eine Theorieerweiterung zu schaffen. In Kapitel 1 wird die wissenschaftliche Relevanz der vorliegenden Arbeit im zeitlichen Bezug und disziplinären Kontext dargestellt sowie die sich daraus ergebende Zielsetzung abgeleitet.
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Gier, Nadine R. "Ausgewählte Beiträge." In Consumer Decision Neuroscience. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-38206-3_4.

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ZusammenfassungIn ausgewählten Beiträgen werden Käufer- und Konsumentenentscheidungsprozesse anhand verschiedener methodischer, neurowissenschaftlich fundierter Herangehensweisen empirisch untersucht, um die Entscheidungsprozesse umfassend beschreiben, effektiver unterstützen und erfolgreich vorhersagen zu können.
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Gier, Nadine R. "Schlussbemerkung." In Consumer Decision Neuroscience. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-38206-3_6.

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Gier, Nadine R. "Systematische Einordnung der Beiträge." In Consumer Decision Neuroscience. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-38206-3_3.

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Zusammenfassung In Kapitel 3 werden die ausgewählten Beiträge in das Reflektiv-Impulsiv Modell eingeordnet und in diesem Zusammenhang die wesentlichen inhaltlichen Aspekte der einzelnen Beiträge beschrieben. Dadurch soll das neurowissenschaftlich fundierte Modell anhand verschiedener methodischer Vorgehensweisen als übergeordneter Rahmen für die Beschreibung, Unterstützung und Vorhersage von Konsumentenentscheidungsprozessen im Rahmen der Consumer Decision Neuroscience geprüft werden.
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Gier, Nadine R. "Zusammenfassung, Implikationen und Reflexion." In Consumer Decision Neuroscience. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-38206-3_5.

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ZusammenfassungIn Kapitel 5 werden die wesentlichen Erkenntnisse zusammengefasst (Abschnitt 5.1) und die daraus ableitbaren Implikationen für die Forschung und Praxis beschrieben (Abschnitt 5.2). Die Ergebnisse aus den Beiträgen zur Consumer Decision Neuroscience bieten sowohl einen Erkenntnisgewinn für die wissenschaftliche Forschung als auch die Möglichkeit, praktisch-normative Handlungsimplikationen abzuleiten, die die Erkenntnisse im anwendungsorientierten Kontext nutzbar machen. Im Anschluss wird die vorliegende Arbeit vor dem Hintergrund theoretischer Weiterentwicklung kritisch reflektie
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Addimando, Federico. "Decision-Making Processes in Negotiations." In Negotiation Neuroscience. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-69754-8_8.

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Salinas, Emilio. "Decision-Making: Overview." In Encyclopedia of Computational Neuroscience. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_248.

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Conference papers on the topic "Decision Neuroscience"

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Marques, Maria Francisca, Marta Paz, and Tiago Ribeiro. "NEUROMYTHS AND COGNITIVE HEALTH: A STUDY WITH SENIOR CITIZENS." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s08/61.

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Neuroscience has witnessed profound scientific and technological advancements over recent decades, transforming our understanding of the brain and leading to significant improvements in both diagnosing and treating neurological disorders. This field of knowledge is an exciting topic for researchers and health professionals, psychologists, educators, and even the general public. The rapid expansion and the complexities of neurosciences have also led to the emergence and spread of several neuromyths. These myths concern various misconceptions or unfounded beliefs arising from incorrect interpret
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Szu, Harold, TP Jung, and Scott Makeig. "Enhanced decision making through neuroscience." In SPIE Defense, Security, and Sensing, edited by Harold Szu and Liyi Dai. SPIE, 2012. http://dx.doi.org/10.1117/12.926424.

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Schrater, Paul, Konrad Kording, and Gunnar Blohm. "Modeling in Neuroscience as a Decision Process." In 2019 Conference on Cognitive Computational Neuroscience. Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1176-0.

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Castiñeiras de Saa, Juan R., and Alfonso Renart. "Control Limited Perceptual Decision Making." In 2023 Conference on Cognitive Computational Neuroscience. Cognitive Computational Neuroscience, 2023. http://dx.doi.org/10.32470/ccn.2023.1725-0.

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ZUBENSCHI, Mariana, Victoria GONȚA, and Evelina GOROBEȚ. "Application of neurosciences in personal development, perceptions and opinions among Romanian native speaking." In "Valorificarea neuroştiinţelor în dezvoltarea personală", conferinţă ştiinţifică internaţională. Ion Creangă Pedagogical State University, 2024. https://doi.org/10.46727/c.7-8-11-2024.p15-33.

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The field of neuroscience offers transformative insights into personal development, with applications ranging from stress management to enhancing cognitive functions. This article examines current perceptions and opinions on integrating neuroscientific principles into personal and professional growth strategies. Data collected through a structured questionnaire highlight varying levels of familiarity and understanding among participants, with notable interest in neuroplasticity, mindfulness, and neurofeedback techniques. Despite growing awareness, a gap persists between theoretical knowledge a
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Huang, J., A. Isidori, L. Marconi, M. Mischiati, E. Sontag, and W. M. Wonham. "Internal Models in Control, Biology and Neuroscience." In 2018 IEEE Conference on Decision and Control (CDC). IEEE, 2018. http://dx.doi.org/10.1109/cdc.2018.8619624.

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Krueger, Kai, Seth Herd, Ananta Nair, Jessica Mollick, and Randall O'Reilly. "Neural mechanisms of human decision-making." In 2018 Conference on Cognitive Computational Neuroscience. Cognitive Computational Neuroscience, 2018. http://dx.doi.org/10.32470/ccn.2018.1219-0.

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Urai, Anne, and The International Brain Laboratory. "History-Dependent Decision-Making across Species." In 2023 Conference on Cognitive Computational Neuroscience. Cognitive Computational Neuroscience, 2023. http://dx.doi.org/10.32470/ccn.2023.1119-0.

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Waskom, Michael, and Roozbeh Kiani. "Decision-making through evidence integration at long timescales." In 2018 Conference on Cognitive Computational Neuroscience. Cognitive Computational Neuroscience, 2018. http://dx.doi.org/10.32470/ccn.2018.1058-0.

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Höft, Nikolas, Rong Guo, Vaios Laschos, Sein Jeung, Dirk Ostwald, and Klaus Obermayer. "Risk Sensitivity under Partially Observable Markov Decision Processes." In 2019 Conference on Cognitive Computational Neuroscience. Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1160-0.

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Reports on the topic "Decision Neuroscience"

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Pasupuleti, Murali Krishna. Quantum Cognition: Modeling Decision-Making with Quantum Theory. National Education Services, 2025. https://doi.org/10.62311/nesx/rrvi225.

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Abstract Quantum cognition applies quantum probability theory and mathematical principles from quantum mechanics to model human decision-making, reasoning, and cognitive processes beyond the constraints of classical probability models. Traditional decision theories, such as expected utility theory and Bayesian inference, struggle to explain context-dependent reasoning, preference reversals, order effects, and cognitive biases observed in human behavior. By incorporating superposition, interference, and entanglement, quantum cognitive models offer a probabilistic framework that better accounts
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Kwon, Wi-Suk, Gopikrishna Deshpande, Jeffrey Katz, and Sang-Eun Byun. What Does the Brain Tell about Scarcity Bias? Cognitive Neuroscience Evidence of Decision Making under Scarcity. Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-374.

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Pasupuleti, Murali Krishna. Neural Computation and Learning Theory: Expressivity, Dynamics, and Biologically Inspired AI. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv425.

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Abstract: Neural computation and learning theory provide the foundational principles for understanding how artificial and biological neural networks encode, process, and learn from data. This research explores expressivity, computational dynamics, and biologically inspired AI, focusing on theoretical expressivity limits, infinite-width neural networks, recurrent and spiking neural networks, attractor models, and synaptic plasticity. The study investigates mathematical models of function approximation, kernel methods, dynamical systems, and stability properties to assess the generalization capa
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Social Influences on Decision-Making: Neuroscience Insights. IEDP Ideas for Leaders, 2013. http://dx.doi.org/10.13007/183.

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Social Influences on Decision-Making: Neuroscience Insights. IEDP Ideas for Leaders, 2013. http://dx.doi.org/10.13007/184.

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