Zeitschriftenartikel zum Thema „Cognition Mathematical models“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Machen Sie sich mit Top-50 Zeitschriftenartikel für die Forschung zum Thema "Cognition Mathematical models" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Sehen Sie die Zeitschriftenartikel für verschiedene Spezialgebieten durch und erstellen Sie Ihre Bibliographie auf korrekte Weise.
Wang, Yingxu. „On the Mathematical Theories and Cognitive Foundations of Information“. International Journal of Cognitive Informatics and Natural Intelligence 9, Nr. 3 (Juli 2015): 42–64. http://dx.doi.org/10.4018/ijcini.2015070103.
Sommer, Friedrich T., und Pentti Kanerva. „Can neural models of cognition benefit from the advantages of connectionism?“ Behavioral and Brain Sciences 29, Nr. 1 (Februar 2006): 86–87. http://dx.doi.org/10.1017/s0140525x06379022.
Frischkorn, Gidon, und Anna-Lena Schubert. „Cognitive Models in Intelligence Research: Advantages and Recommendations for Their Application“. Journal of Intelligence 6, Nr. 3 (17.07.2018): 34. http://dx.doi.org/10.3390/jintelligence6030034.
Moustafa, Ahmed A., Angela Porter und Ahmed M. Megreya. „Mathematics anxiety and cognition: an integrated neural network model“. Reviews in the Neurosciences 31, Nr. 3 (28.04.2020): 287–96. http://dx.doi.org/10.1515/revneuro-2019-0068.
Wagner, Roy. „Cognitive stories and the image of mathematics“. THEORIA. An International Journal for Theory, History and Foundations of Science 33, Nr. 2 (20.06.2018): 305. http://dx.doi.org/10.1387/theoria.17917.
Аникеева, Ольга, und Olga Anikyeyeva. „Development of Socio-Historical Models as a Cognitive Process: A Cross-Disciplinary Analysis“. Servis Plus 8, Nr. 2 (03.06.2014): 4–9. http://dx.doi.org/10.12737/3886.
RAY, ASOK, SHASHI PHOHA und SOUMIK SARKAR. „BEHAVIOR PREDICTION FOR DECISION AND CONTROL IN COGNITIVE AUTONOMOUS SYSTEMS“. New Mathematics and Natural Computation 09, Nr. 03 (03.10.2013): 263–71. http://dx.doi.org/10.1142/s1793005713400061.
Broekaert, Jan, Irina Basieva, Pawel Blasiak und Emmanuel M. Pothos. „Quantum-like dynamics applied to cognition: a consideration of available options“. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 375, Nr. 2106 (02.10.2017): 20160387. http://dx.doi.org/10.1098/rsta.2016.0387.
GOPISETTI, NAGA-SAI-RAM, MARIA LEONILDE ROCHA VARELA und JOSE MACHADO. „HUMAN COGNITION INSPIRED PROCEDURES FOR PART FAMILY FORMATION BASED ON NOVEL INSPECTION BASED CLUSTERING APPROACH“. DYNA 96, Nr. 5 (01.09.2021): 546–52. http://dx.doi.org/10.6036/9997.
Reihenova, Austra. „MODELLING OF MATHEMATICAL PROCESSES AS A SCIENTIFIC COGNITION IN HIGH SCHOOL“. SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 3 (20.05.2020): 516. http://dx.doi.org/10.17770/sie2020vol3.5016.
Estrada-Rojo, Francisco, Ricardo Jesús Martínez-Tapia, Francisco Estrada-Bernal, Marina Martínez-Vargas, Adán Perez-Arredondo, Luis Flores-Avalos und Luz Navarro. „Models used in the study of traumatic brain injury“. Reviews in the Neurosciences 29, Nr. 2 (23.02.2018): 139–49. http://dx.doi.org/10.1515/revneuro-2017-0028.
Baltieri, Manuel, und Christopher Buckley. „PID Control as a Process of Active Inference with Linear Generative Models“. Entropy 21, Nr. 3 (07.03.2019): 257. http://dx.doi.org/10.3390/e21030257.
D’Alessandro, Marco, Giuseppe Gallitto, Antonino Greco und Luigi Lombardi. „A Joint Modelling Approach to Analyze Risky Decisions by Means of Diffusion Tensor Imaging and Behavioural Data“. Brain Sciences 10, Nr. 3 (01.03.2020): 138. http://dx.doi.org/10.3390/brainsci10030138.
Grabauskienė, Vaiva, und Oksana Mockaitytė-Rastenienė. „AN EXPRESSION OF MATHEMATICAL CONNECTIONS IN MULTIPLICATION-RELATED THINKING IN THIRD AND FOURTH GRADES OF PRIMARY SCHOOL“. ŠVIETIMAS: POLITIKA, VADYBA, KOKYBĖ / EDUCATION POLICY, MANAGEMENT AND QUALITY 11, Nr. 1 (25.08.2019): 9–29. http://dx.doi.org/10.48127/spvk-epmq/19.11.09.
Afraimovich, Valentin S., Todd R. Young und Mikhail I. Rabinovich. „Hierarchical Heteroclinics in Dynamical Model of Cognitive Processes: Chunking“. International Journal of Bifurcation and Chaos 24, Nr. 10 (Oktober 2014): 1450132. http://dx.doi.org/10.1142/s0218127414501326.
Kornbrot, Diana. „The Utility of Categorising Multidimensional Mathematical Models in Psychology. Review of Multidimensional Models of Perception and Cognition, by F. Gregory Ashby“. Journal of Mathematical Psychology 38, Nr. 3 (September 1994): 392–406. http://dx.doi.org/10.1006/jmps.1994.1028.
Toulopoulou, T., X. Zhang, S. Cherny, R. Straub, K. Berman, D. Dickinson, P. Sham und D. Weinberger. „Polygenic risk profile score increases schizophrenia liability mostly through cognition pathways: mathematical causation models with polygenic risk“. European Neuropsychopharmacology 27 (Oktober 2017): S885—S886. http://dx.doi.org/10.1016/s0924-977x(17)31582-1.
Temperley, David. „Probabilistic Models of Melodic Interval“. Music Perception 32, Nr. 1 (01.09.2014): 85–99. http://dx.doi.org/10.1525/mp.2014.32.1.85.
Cobb, Paul. „Review: A Double-Edged Sword“. Journal for Research in Mathematics Education 20, Nr. 2 (März 1989): 213–18. http://dx.doi.org/10.5951/jresematheduc.20.2.0213.
Salimpoor, Valorie N., Catie Chang und Vinod Menon. „Neural Basis of Repetition Priming during Mathematical Cognition: Repetition Suppression or Repetition Enhancement?“ Journal of Cognitive Neuroscience 22, Nr. 4 (April 2010): 790–805. http://dx.doi.org/10.1162/jocn.2009.21234.
Jones, Matt, und Bradley C. Love. „Bayesian Fundamentalism or Enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition“. Behavioral and Brain Sciences 34, Nr. 4 (August 2011): 169–88. http://dx.doi.org/10.1017/s0140525x10003134.
Perlovsky, Leonid. „Language and Cognition Interaction Neural Mechanisms“. Computational Intelligence and Neuroscience 2011 (2011): 1–13. http://dx.doi.org/10.1155/2011/454587.
Mark, D. M., und A. U. Frank. „Experiential and Formal Models of Geographic Space“. Environment and Planning B: Planning and Design 23, Nr. 1 (Februar 1996): 3–24. http://dx.doi.org/10.1068/b230003.
Raghubar, Kimberly P., Marcia A. Barnes, Mary Prasad, Chad P. Johnson und Linda Ewing-Cobbs. „Mathematical Outcomes and Working Memory in Children With TBI and Orthopedic Injury“. Journal of the International Neuropsychological Society 19, Nr. 3 (20.11.2012): 254–63. http://dx.doi.org/10.1017/s1355617712001312.
Schubert, Anna-Lena, und Gidon T. Frischkorn. „Neurocognitive Psychometrics of Intelligence: How Measurement Advancements Unveiled the Role of Mental Speed in Intelligence Differences“. Current Directions in Psychological Science 29, Nr. 2 (13.02.2020): 140–46. http://dx.doi.org/10.1177/0963721419896365.
Gao, Yuan. „Rethinking the Formalism-Substantivism Debate in Social Science: A Perspective from Recent Developments in Economic Methodology“. Modern China 47, Nr. 1 (28.05.2020): 3–25. http://dx.doi.org/10.1177/0097700420924603.
Studenova, Tamara Iurevna. „Evolution of approaches to the organization of the education system“. Moscow University Pedagogical Education Bulletin, Nr. 2 (29.06.2016): 53–66. http://dx.doi.org/10.51314/2073-2635-2016-2-53-66.
Burgin, Mark. „Triadic Structures in Interpersonal Communication“. Information 9, Nr. 11 (16.11.2018): 283. http://dx.doi.org/10.3390/info9110283.
Wang, Haibo, Naiqi Jiang, Ting Pan, Haiqing Si, Yao Li und Wenjing Zou. „Cognitive Load Identification of Pilots Based on Physiological-Psychological Characteristics in Complex Environments“. Journal of Advanced Transportation 2020 (12.11.2020): 1–16. http://dx.doi.org/10.1155/2020/5640784.
Hordijk, Wim, und Mike Steel. „Autocatalytic Networks at the Basis of Life’s Origin and Organization“. Life 8, Nr. 4 (08.12.2018): 62. http://dx.doi.org/10.3390/life8040062.
Pissanetzky, Sergio, und Felix Lanzalaco. „Black-box Brain Experiments, Causal Mathematical Logic, and the Thermodynamics of Intelligence“. Journal of Artificial General Intelligence 4, Nr. 3 (01.12.2013): 10–43. http://dx.doi.org/10.2478/jagi-2013-0005.
Chen, Qiuying, und Hongwei Mo. „A Brain-Inspired Goal-Oriented Robot Navigation System“. Applied Sciences 9, Nr. 22 (14.11.2019): 4869. http://dx.doi.org/10.3390/app9224869.
Radanliev, Petar, David De Roure, Kevin Page, Max Van Kleek, Omar Santos, La’Treall Maddox, Pete Burnap, Eirini Anthi und Carsten Maple. „Design of a dynamic and self-adapting system, supported with artificial intelligence, machine learning and real-time intelligence for predictive cyber risk analytics in extreme environments – cyber risk in the colonisation of Mars“. Safety in Extreme Environments 2, Nr. 3 (Oktober 2020): 219–30. http://dx.doi.org/10.1007/s42797-021-00025-1.
Butt, Muhammad A., Faisal Riaz, Yasir Mehmood und Somyyia Akram. „REEEC-AGENT: human driver cognition and emotions-inspired rear-end collision avoidance method for autonomous vehicles“. SIMULATION 97, Nr. 9 (10.04.2021): 601–17. http://dx.doi.org/10.1177/00375497211004721.
Baek, Sori, Amy L. Daitch, Pedro Pinheiro-Chagas und Josef Parvizi. „Neuronal Population Responses in the Human Ventral Temporal and Lateral Parietal Cortex during Arithmetic Processing with Digits and Number Words“. Journal of Cognitive Neuroscience 30, Nr. 9 (September 2018): 1315–22. http://dx.doi.org/10.1162/jocn_a_01296.
Miranda, R. C. R. „Identifying Conditions to Implement Strategic Knowledge Management in Brazilian Corporations — SKM Math Model Application“. Journal of Information & Knowledge Management 08, Nr. 01 (März 2009): 67–77. http://dx.doi.org/10.1142/s021964920900221x.
Ferrari, Camilla, und Sandro Sorbi. „The complexity of Alzheimer’s disease: an evolving puzzle“. Physiological Reviews 101, Nr. 3 (01.07.2021): 1047–81. http://dx.doi.org/10.1152/physrev.00015.2020.
Eckstein, Shulamith G., und Michal Shemesh. „Mathematical models of cognitive development“. British Journal of Mathematical and Statistical Psychology 45, Nr. 1 (Mai 1992): 1–18. http://dx.doi.org/10.1111/j.2044-8317.1992.tb00974.x.
Wong, Pauline P., Georges Monette und Neil I. Weiner. „Mathematical models of cognitive recovery“. Brain Injury 15, Nr. 6 (01.06.2001): 519–30. http://dx.doi.org/10.1080/02699050010005995.
Pauline P. Wong, Georges Monette, N. „Mathematical models of cognitive recovery“. Brain Injury 15, Nr. 6 (Januar 2001): 519–30. http://dx.doi.org/10.1080/02699050116774.
Fujii, Keisuke. „Data-Driven Analysis for Understanding Team Sports Behaviors“. Journal of Robotics and Mechatronics 33, Nr. 3 (20.06.2021): 505–14. http://dx.doi.org/10.20965/jrm.2021.p0505.
Pinheiro-Chagas, Pedro, Amy Daitch, Josef Parvizi und Stanislas Dehaene. „Brain Mechanisms of Arithmetic: A Crucial Role for Ventral Temporal Cortex“. Journal of Cognitive Neuroscience 30, Nr. 12 (Dezember 2018): 1757–72. http://dx.doi.org/10.1162/jocn_a_01319.
Li, Wenjun, Lidong Tan und Ciyun Lin. „Modeling driver behavior in the dilemma zone based on stochastic model predictive control“. PLOS ONE 16, Nr. 2 (24.02.2021): e0247453. http://dx.doi.org/10.1371/journal.pone.0247453.
Labunskaya, V. A., und E. V. Kapitanova. „Self-Assessment and Appearance Evaluation in Student Group as Predictors in Relationships of Interpersonal Significance“. Social Psychology and Society 7, Nr. 1 (2016): 72–87. http://dx.doi.org/10.17759/sps.2016070106.
Datsii, O., N. Datsii, O. Zborovska, L. Ivashova, M. Cherkashyna und K. Ingram. „Financing of environmental programs for industrial waste management in times of crisis“. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, Nr. 1 (2021): 130–36. http://dx.doi.org/10.33271/nvngu/2021-1/130.
Khmara, D. S., und V. N. Samotuga. „Development of E-Commerce in the Field of Small and Medium Enterprises“. Economics and Management 27, Nr. 6 (23.07.2021): 426–36. http://dx.doi.org/10.35854/1998-1627-2021-6-426-436.
O'Donnell, Timothy J., Marc D. Hauser und W. Tecumseh Fitch. „Using mathematical models of language experimentally“. Trends in Cognitive Sciences 9, Nr. 6 (Juni 2005): 284–89. http://dx.doi.org/10.1016/j.tics.2005.04.011.
Lamberts, Koen. „Array Models of Cognition“. Journal of Mathematical Psychology 40, Nr. 3 (September 1996): 271–74. http://dx.doi.org/10.1006/jmps.1996.0025.
Elliott, T., C. I. Howarth und N. R. Shadbolt. „Axonal Processes and Neural Plasticity: A Reply“. Neural Computation 10, Nr. 3 (01.04.1998): 549–54. http://dx.doi.org/10.1162/089976698300017656.
Zak, Michail. „Physical models of cognition“. International Journal of Theoretical Physics 33, Nr. 5 (Mai 1994): 1113–61. http://dx.doi.org/10.1007/bf01882756.