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Relevant bibliographies by topics / Cognitive neuroscience

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Academic literature on the topic 'Cognitive neuroscience'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 July 2024

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Journal articles on the topic "Cognitive neuroscience"

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Martín-Loeches, Manuel. "La Neurociencia Cognitiva, la Psicología Cognitiva y nuestro Sistema Cognitivo Cognitive Neuroscience, Cognitive Psychology, and our Cognitive System." Cognitiva 16, no. 2 (September 1, 2004): 211–17. http://dx.doi.org/10.1174/0214355042248884.

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Zayas-Fundora, Emmanuel, and Emmanuel Cesar Vázquez-Ortiz. "Visibility of Latin American scientific production on cognitive neurosciences." Data & Metadata 1 (December 15, 2022): 24. http://dx.doi.org/10.56294/dm202262.

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Introduction: cognitive neuroscience is the convergence of two disciplines, neuroscience and cognitive psychology, which have provided information on the material bases of the cognitive and emotional processes of human behavior. There are currently few records of bibliometric studies on Latin American scientific production in cognitive neuroscience in SCOPUS. Objective: to describe the behavior of the Latin American scientific production on cognitive neuroscience in SCOPUS in the years 2012 to 2022. Methods: a bibliometric, observational, descriptive, cross-sectional study was carried out on the behavior of the scientific production in Latin America on cognitive neuroscience in SCOPUS. A search was made of the data offered by Scimago Journal & Country Rank on the publications, from the “Neurosciences” area, “Latin America” region and “Cognitive Neurosciences” category. It used the descriptive statistic. Results: a total of 3717 documents were published. 2022 was highlighted as the year with the largest number of published documents (514). A total of 55,107 appointments were made in this period, with the highest number of appointments being made in 2016 (9,225). A total of 10,538 self-citations were made and citations per document reached their highest values in 2015 (3,685). Brazil prevailed with an h index of 98. Conclusions: the Latin American scientific production in SCOPUS on cognitive neurosciences, during the 10 years studied, was high and growing, which predicts great results in this branch for years to come and is satisfactory considering the thousands of questions that arise every day and concern this area of knowledge.

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Behrmann, Marlene. "Cognitive Neuroscience." Trends in Cognitive Sciences 2, no. 7 (July 1998): 269. http://dx.doi.org/10.1016/s1364-6613(98)01191-7.

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Albright, Thomas D., Eric R. Kandel, and Michael I. Posner. "Cognitive neuroscience." Current Opinion in Neurobiology 10, no. 5 (October 2000): 612–24. http://dx.doi.org/10.1016/s0959-4388(00)00132-x.

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Todman, Martin G., and Philip J. Benson. "Cognitive neuroscience." Current Opinion in Neurobiology 11, no. 2 (April 2001): 145. http://dx.doi.org/10.1016/s0959-4388(00)00188-4.

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Todman, Martin G., and Philip J. Benson. "Cognitive neuroscience." Current Opinion in Neurobiology 12, no. 2 (April 2002): 129. http://dx.doi.org/10.1016/s0959-4388(02)00317-3.

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Wandell, Brian A., and J. Anthony Movshon. "Cognitive neuroscience." Current Opinion in Neurobiology 13, no. 2 (April 2003): 141–43. http://dx.doi.org/10.1016/s0959-4388(03)00049-7.

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Squire, Larry R., Eric R. Kandel, and Stephen M. Kosslyn. "Cognitive neuroscience." Current Opinion in Neurobiology 6, no. 2 (April 1996): 153–57. http://dx.doi.org/10.1016/s0959-4388(96)80067-5.

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Iversen, Susan D., and Robert U. Muller. "Cognitive neuroscience." Current Opinion in Neurobiology 7, no. 2 (April 1997): 151–56. http://dx.doi.org/10.1016/s0959-4388(97)80002-5.

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Posner, Michael I., and Robert Desimone. "Cognitive neuroscience." Current Opinion in Neurobiology 8, no. 2 (April 1998): 175–77. http://dx.doi.org/10.1016/s0959-4388(98)80137-2.

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Dissertations / Theses on the topic "Cognitive neuroscience"

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Rohenkohl, Gustavo. "Cognitive neuroscience, experimental psychology." Thesis, University of Oxford, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.547508.

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Lymperopoulou, Ioana Anca. "A cognitive neuroscience perspective of emotions." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11364.

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Emotions have a remarkable capacity to mobilize an individual and shape a person’s behavior in order to ultimately lead to a higher wellbeing. The importance of emotions is further emphasized by pathological cases of people who suffer from an inability to normally regulate their emotional life, such as people who suffer from major depression disorder (MDD), eating disorders, or borderline personality disorder. Given the central role emotions play in our lives, it is very easy to understand the great interest cognitive neuroscientists have in this research field. Emotions have been approached in the last decades from different angles and as such, distinct theories arose. The goal of this study is to give a comprehensive overview of the emotion theories that exist, with a focus on three of the fastest developing cognitive theories of emotions: Frijda’s action-readiness, Russell’s core affect and the communicative theory. Additionally, the neural correlates of emotions will be discussed, focusing on the role of amygdala in the negative emotion of fear. Neuroimaging studies that reveal a correlation between the amygdala and emotions, fear in particular, will be described. Given that the ability of self-regulation is crucial for the achievements of our aims and goals, fMRI studies designed to investigate neural the underpinnings of emotion regulation will be presented. The process of cognitive reappraisal will be used to point towards the brain regions that act as down-regulators for the activity of amygdala while processing negatively valenced stimuli.

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Contreras, Juan Manuel. "A Cognitive Neuroscience of Social Groups." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10882.

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We used functional magnetic resonance imaging to investigate how the human brain processes information about social groups in three domains. Study 1: Semantic knowledge. Participants were scanned while they answered questions about their knowledge of both social categories and non-social categories like object groups and species of nonhuman animals. Brain regions previously identified in processing semantic information are more robustly engaged by nonsocial semantics than stereotypes. In contrast, stereotypes elicit greater activity in brain regions implicated in social cognition. These results suggest that stereotypes should be considered distinct from other forms of semantic knowledge. Study 2: Theory of mind. Participants were scanned while they answered questions about the mental states and physical attributes of individual people and groups. Regions previously associated with mentalizing about individuals were also robustly responsive to judgments of groups. However, multivariate searchlight analysis revealed that several of these regions showed distinct multivoxel patterns of response to groups and individual people. These findings suggest that perceivers mentalize about groups in a manner qualitatively similar to mentalizing about individual people, but that the brain nevertheless maintains important distinctions between the representations of such entities. Study 3: Social categorization. Participants were scanned while they categorized the sex and race of unfamiliar Black men, Black women, White men, and White women. Multivariate pattern analysis revealed that multivoxel patterns in FFA--but not other face-selective brain regions, other category-selective brain regions, or early visual cortex--differentiated faces by sex and race. Specifically, patterns of voxel-based responses were more similar between individuals of the same sex than between men and women, and between individuals of the same race than between Black and White individuals. These results suggest that FFA represents the sex and race of faces. Together, these three studies contribute to a growing cognitive neuroscience of social groups.
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Buda, Marie. "The cognitive neuroscience of reality monitoring." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648292.

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Carlsson, Veronica. "Emotional attention : A cognitive neuroscience perspective." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16258.

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Attention is a cognitive mechanism that guides our perception in order to prioritize the limited resources to the most relevant information while ignoring distracting information. Attention can be voluntarily deployed to stimuli during tasks or goals, or the features of the stimulus can capture our attention either by being salient or being emotionally induced. Emotions affect multiple different cognitive processes such as attention because emotional stimuli can be relevant for defending or sustain life. This relationship between attention and emotion indicates that there should be interactive but distinct networks between these cognitive mechanisms as well as a modulative effect on perceptional and attentional systems. Emotions were in general demonstrating a facilitation affect on attentional and saccadic processes as well as broadening or narrowing the scope of attention. The reason behind emotions impact on attention was proposed to be for eliciting a change in the application of resources in order to solve the limited capacity problem and possibly to protect and sustain life. Inconsistent findings as well as limitations for emotional attention studies are discussed.

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Lindblom, Jon. "Technihil : the cultural import of cognitive neuroscience." Thesis, Goldsmiths College (University of London), 2016. http://research.gold.ac.uk/19472/.

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The thesis aims to speculate on the implications of neuroscientific resources on aesthetics and cultural production by drawing upon conceptual material provided by ‘90s and recent accelerationist theory and speculative philosophy. Following the work of Ray Brassier, it sees a plethora of untapped potencies in the objective image of cognition unveiled by modern neuroscience – which is contrasted with the anti-scientific stance concomitant with much Continental philosophy and critical theory. Focusing primarily on the registers of embodiment and experience in recent forms of corporeal phenomenology and affect theory, it is argued that their intellectual advocates generally share a commitment to the unobjectifiable nature of so-called ‘embodied’, or ‘lived’, experience which does not sit well with the neuroscientific project of objectification. Instead, the thesis utilizes Thomas Metzinger’s PSM-theory of selfhood and Brassier’s work on the speculative implications of nihilism, science, and technology in order to outline an alternative account of embodiment and experience compatible with the natural sciences. The intention is to create a form of critical theory which it is argued not only is better equipped for addressing modes of power and exploitation in the present, but also for constructing alternate scenarios of the future. These twin issues are addressed on the one hand through an engagement with Mark Fisher’s and Simon Reynolds’ work on ‘90s rave culture and its mutation into present forms of postmodern cultural and psychosocial malaise, and on the other hand through recent accelerationist attempts to rethink the program of acceleration according to revisionary modernist and post-capitalist ends. It is argued that a cognitive reformatting grounded in the revision and remaking of the human on the basis of an updated model of digital psychedelia and a popular modernist aesthetic of cognitive mapping is crucial for overcoming the cognitive lacuna that Fredric Jameson characterizes in terms of a late capitalist discontinuity between structure and experience – and which the thesis suggests currently stifles the ambitions of critical theory on the one hand and cultural production on the other – and thereby realizes the transformative potentials of techno-scientific objectification by augmenting and transforming the parameters of the human.

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Bentley, Vanessa A. "Building a Feminist Philosophy of Cognitive Neuroscience." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447691278.

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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 multidisciplinary interdependencies, marketers can enhance their advertising and promotional mix to elicit desired neural and affective consumer responses and measure these reactions in order to enhance purchasing decisions. The principal objective of this thesis is to present a comprehensive review of consumer neuroscience and to elucidate why it is an increasingly important area of study within the framework of human behavior. I will also describe how the insights gained from this emerging field can be leveraged to optimize marketing activities. Finally, I propose an experiment that illuminates key research questions, which may have considerable impact on the discipline of consumer neuroscience as well as the marketing industry.

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Norberg, Joakim. "Prediction of Future Development of MCI patients Based on Cognitive Function." Thesis, Stockholm University, Department of Psychology, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-6823.

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Mild Cognitive Impairment (MCI) refers to a transitional stage between normal aging and dementia. The purpose of this study was to predict the development of MCI patients based on cognitive function. 222 MCI patients were studied at baseline and at a follow-up of 2 years. Using discriminant analysis, they were predicted into four diagnostic groups: Improved, Stable MCI, Dementia of the Alzheimer’s Type (AD) and Other Dementia. Using four tests - Rey-Osterrieth Complex Figure Test recall, Auditory-Verbal Learning Test recall, TMTB time and Digit Symbol – overall 62.6% of cases were correctly classified after cross-validation. The rate of prediction in this study was 1.8 times better than chance, which is better than reported in most other studies. The model did best for the AD group with 80% of cases correctly classified. However, most cases in the Other Dementia group were also classified as AD.

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Ginley, Meredith K. "Neuroscience of Addiction." Digital Commons @ East Tennessee State University, 2020. https://dc.etsu.edu/etsu-works/8882.

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Books on the topic "Cognitive neuroscience"

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G, Lister Richard, and Weingartner Herbert, eds. Perspectives on cognitive neuroscience. New York: Oxford University Press, 1991.

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D, Rugg M., ed. Cognitive neuroscience. Cambridge, Mass: MIT Press, 1997.

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J, Compton Rebecca, ed. Cognitive neuroscience. 3rd ed. Belmont, CA: Wadsworth, Cengage Learning, 2011.

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Jamie, Ward, ed. Cognitive neuroscience. Abingdon, Oxon: Routledge, 2008.

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S, Gazzaniga Michael. Cognitive neuroscience: The biology of the mind. 3rd ed. New York: Norton, 2009.

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S, Gazzaniga Michael. Cognitive neuroscience: The biology of the mind. 3rd ed. New York: Norton, 2009.

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Benetka, Gerhard, and Hans Werbik. Discussing Cognitive Neuroscience. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71040-8.

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Kosslyn, Stephen Michael. Wet mind: The new cognitive neuroscience. New York: Free Press, 1995.

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David, Zelazo Philip, Chandler Michael J, and Crone Eveline, eds. Developmental social cognitive neuroscience. New York: Psychology Press, 2010.

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Bennett, M. R. History of cognitive neuroscience. Chichester, West Sussex, United Kingdom: Wiley-Blackwell, a John Wiley & Sons, Ltd., Publication, 2013.

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Book chapters on the topic "Cognitive neuroscience"

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Hoyer, Daniel, Eric P. Zorrilla, Pietro Cottone, Sarah Parylak, Micaela Morelli, Nicola Simola, Nicola Simola, et al. "Cognitive Neuroscience." In Encyclopedia of Psychopharmacology, 323. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_1345.

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Leahey, Thomas Hardy. "Cognitive Neuroscience." In Fundamentals of Cognitive Science, 234–66. New York: Routledge, 2022. http://dx.doi.org/10.4324/9780429322822-8.

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Wagels, Lisa, Ute Habel, and Thomas Nickl-Jockschat. "Cognitive Neuroscience." In Tasman’s Psychiatry, 1–34. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-42825-9_31-1.

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Wangbing, Shen. "Cognitive Neuroscience." In The ECPH Encyclopedia of Psychology, 1–3. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6000-2_719-1.

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Hoehl, Stefanie. "Developmental Cognitive Neuroscience." In The Wiley Handbook of Developmental Psychopathology, 179–96. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118554470.ch8.

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D’Esposito, Mark. "Cognitive Neuroscience Applications." In Functional MRI, 468–95. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/0-387-34665-1_18.

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D’Esposito, Mark. "Cognitive Neuroscience Applications." In BOLD fMRI, 249–74. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-1329-6_10.

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Zednik, Carlos. "Computational cognitive neuroscience." In The Routledge Handbook of the Computational Mind, 357–69. Milton Park, Abingdon, Oxon ; New York : Routledge, 2019. |: Routledge, 2018. http://dx.doi.org/10.4324/9781315643670-27.

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Botvinik-Nezer, Rotem, and Tor D. Wager. "Advancing Cognitive Neuroscience." In The Sage Handbook of Cognitive and Systems Neuroscience, 569–89. 1 Oliver's Yard, 55 City Road London EC1Y 1SP: SAGE Publications Ltd, 2024. http://dx.doi.org/10.4135/9781529616613.n34.

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Yan, Dong, and Lei Li. "Developmental Cognitive Neuroscience." In The ECPH Encyclopedia of Psychology, 1–2. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6000-2_425-1.

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Conference papers on the topic "Cognitive neuroscience"

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Williams, Mark, and Anina Rich. "Cognitive Neuroscience: spanning the void between cognitive science and neuroscience." In 9th Conference of the Australasian Society for Cognitive Science. Sydney: Macquarie Centre for Cognitive Science, 2010. http://dx.doi.org/10.5096/ascs200955.

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Gao, Richard, Dylan Christiano, Tom Donoghue, and Bradley Voytek. "The Structure of Cognition Across Computational Cognitive Neuroscience." In 2019 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1426-0.

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Luo, Qingming, Shaoqun Zeng, and Hui Gong. "Optical imaging in cognitive neuroscience." In International Workshop on Photonics and Imaging in Biology and Medicine, edited by Qingming Luo, Britton Chance, and Valery V. Tuchin. SPIE, 2002. http://dx.doi.org/10.1117/12.462563.

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Maley, Corey. "Analog Computation in Computational Cognitive Neuroscience." In 2018 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2018. http://dx.doi.org/10.32470/ccn.2018.1178-0.

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Mukherjee, Saurabh, and Ankur Sharma. "A review paper on cognitive neuroscience." In The International Conference on Communication and Computing Systems (ICCCS-2016). Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315364094-191.

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Schwank, Inge, and Marie-Line Gardes. "Neuroscience and Mathematics Education/Cognitive Science." In The 14th International Congress on Mathematical Education. WORLD SCIENTIFIC, 2024. http://dx.doi.org/10.1142/9789811287152_0045.

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Chateau-Laurent, Hugo, and Frederic Alexandre. "Towards a Computational Cognitive Neuroscience Model of Creativity." In 2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2021. http://dx.doi.org/10.1109/iccicc53683.2021.9811309.

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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. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1176-0.

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Bickle, John. "Ruthless reductionism in recent neuroscience." In Proceedings the Second IEEE International Conference on Cognitive Informatics. IEEE, 2003. http://dx.doi.org/10.1109/coginf.2003.1225944.

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Park, Seongmin, Maryam Zolfaghar, Jacob Russin, Douglas Miller, Randall O’Reilly, and Erie Boorman. "The geometry of cognitive maps under dynamic cognitive control." In 2022 Conference on Cognitive Computational Neuroscience. San Francisco, California, USA: Cognitive Computational Neuroscience, 2022. http://dx.doi.org/10.32470/ccn.2022.1023-0.

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Reports on the topic "Cognitive neuroscience"

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Marmar, Charles R. Basic Cognitive Neuroscience of Memory and Self-Appraisals in PTSD. Fort Belvoir, VA: Defense Technical Information Center, February 2014. http://dx.doi.org/10.21236/ada600461.

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Marmar, Charles R. Basic Cognitive Neuroscience of Memory and Self-Appraisals in PTSD. Fort Belvoir, VA: Defense Technical Information Center, February 2015. http://dx.doi.org/10.21236/ada616429.

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Schunn, C. D. A Review of Human Spatial Representations Computational, Neuroscience, Mathematical, Developmental, and Cognitive Psychology Considerations. Fort Belvoir, VA: Defense Technical Information Center, December 2000. http://dx.doi.org/10.21236/ada440864.

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Donchin, Emanuel. Towards an Integration of the Non-Invasive Methodologies of Cognitive Neuroscience: The Eleventh Carmel Workshop. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada228945.

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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. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-374.

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Rollo, Greta, and Kellie Picker. Unpacking the science of reading research. Australian Council for Educational Research, June 2024. http://dx.doi.org/10.37517/978-1-74286-742-7.

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The science of reading (SoR) is a term used for a body of evidence encompassing multi-disciplinary research from education, cognitive psychology, linguistics, and neuroscience. This evidence points to six key constructs that contribute to proficient reading: oral language, phonological awareness including phonemic awareness, phonics, fluency, vocabulary and reading comprehension. Research around these constructs provides researchers and teachers with an evidence base of the knowledge, skills and strategies involved in competent reading and describes how reading develops in both typical and atypical readers. This paper synthesises evidence reviews conducted by ACER researchers that unpack the science of reading. The aim of this synthesis is to demonstrate the impact that research in reading development is having on current ACER research and products. Most importantly, it supports understanding of the importance of embracing the complexity and nuance of reading research and the need for improved efforts to clearly communicate evolving research evidence. ACER draws on the evolving evidence of the science of reading to inform its approach to developing assessments and resources for teachers, and also refers to this evidence to describe where children are in their reading journey. This means a students' progress through each construct as described in this paper can be tracked and used to inform teaching and learning.

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A cognitive neuroscience review of the aetiology of ADHD. ACAMH, August 2018. http://dx.doi.org/10.13056/acamh.10576.

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A simple neurological explanation has yet to identify an aetiology and pathogenesis of the disorder. However, advancements in imaging techniques should help to give a more detailed understanding of the brain regions that are different to those without ADHD.

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The contribution of complex trauma to psychopathology and cognitive deficits – In conversation Dr. Stephanie Lewis. ACAMH, June 2021. http://dx.doi.org/10.13056/acamh.16093.

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In this podcast we talk to Dr. Stephanie Lewis, Editor of The Bridge, and Clinical Lecturer in Child and Adolescent Psychiatry at the Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London. The main conversation is around complex trauma and Stephanie's paper that was recently published in the British Journal of Psychiatry.

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