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Motor Learning and Decision Making in Volatile Environment in Bipolar Disorder
Ch. 19. P. 55–58.
Marina Ivanova, Herrojo-Ruiz M. D.
Predictive processing currently is one of the major lines of research in computational psychiatry. There is substantial evidence for the impaired Bayesian learning in affective disorders, and in particular impaired learning about uncertainty estimations. Based on our previous results in state and trait anxiety, we developed a study design, completed a pilot study and are now in the process of participant recruitment and data acquisition in order to test our hypotheses. We hypothesize that changes in learning in volatile environment may be an important feature, if not the core feature, of bipolar disorder. Also, we pose the questions of possible changes in motor learning and in neurophysiological markers of predictive coding in bipolar disorder.
Mariya Protopova, Bolgina T., Arutiunian V. et al., European Journal of Neuroscience 2025 Vol. 62 No. 8 Article e70282
For noninvasive language mapping, the choice of imaging method, task, and baseline remains an area of active research. While the sentence completion task is a recommended option for fMRI studies, the indirect nature of the signal is a limitation of the imaging method. This study presents a sentence completion paradigm for group- and individual-level language ...
Added: November 10, 2025
А.Е. Осадчий, А.Е. Кубяк, Нейротехнологии и нейроэлектроника (N&N) 2025 № 2 С. 4–31
Added: September 10, 2025
Springer Publishing Company, 2025.
This book focuses on benefiting artificial intelligent tools in our business and social life under emerging conditions. Human-centric, resilient, and sustainable industries are built on ideals like human-centricity, ecological advantages, or social benefits. The mission of human-centric artificial intelligence is to improve people’s lives by offering solutions that boost productivity, accessibility to resources, security, well-being, ...
Added: July 31, 2025
Tretyakova V., Pavlova A., Arapov V. et al., Plos One 2025 Vol. 20 No. 7 Article e0325977
Action word learning is believed to rely on mechanisms of Hebbian learning. However, this biological mechanism requires activation of the neural assemblies representing a word form and a corresponding movement to repeatedly overlap in time. In reality, though, these associated events could be separated by seconds. In the current MEG study, we examined trial-and-error learning ...
Added: July 4, 2025
Vallverdú J., Alshanskaia E., BioNanoScience 2025 Vol. 15 Article 406
Artificial intelligence (AI) systems have predominantly mirrored neurotypical brain architectures (NBA), optimizing for efficiency, predictability, and standardized cognitive patterns. However, non-neurotypical brains (NNB) exhibit unique neurochemical, hormonal, and functional mechanisms that underpin divergent thinking, creativity, and alternative problem-solving strategies. Drawing from evolutionary biology, we emphasize how neurodiversity serves as a critical mechanism for adaptability, survival, ...
Added: June 14, 2025
Saranskaia I., Boris Gutkin, Zakharov D., European Physical Journal: Special Topics 2025 Vol. 234 P. 4159–4177
This review explores the interplay between data representation and machine learning (ML) methods in classifying functional, cognitive, and pathological brain states using magnetoencephalography (MEG). Two primary data representations are considered: sensor-level signals and reconstructed source signals. Sensor signals, when combined with classical ML methods such as linear discriminant analysis (LDA) and support vector machines (SVM), offer computational efficiency and simplified preprocessing, ...
Added: March 15, 2025
Panos Pardalos, Valery Kalyagin, Mario R. Guarracino, Computational Management Science 2024 Vol. 21 No. 1 Article 35
Big data has become an integral part of modern networks. With the increasing amount of data generated by devices, machines, and applications, networks are constantly being challenged to handle and process this data in a timely and efficient manner. The size, complexity, and variety of data in networks are increasing rapidly, which requires new approaches ...
Added: February 22, 2025
Vlasenko D., Zaikin A., Zakharov D., , in: 2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).: IEEE, 2024. P. 258–261.
The goal of this work is to propose a method for representing functional magnetic resonance imaging data and electroencephalography/magnetoencephalography data in the form of graphs reflecting the interactions of brain regions for brain state classification tasks. This method is based on ensemble learning to improve generalizability, accuracy, robustness and parallelism of the classification model, which ...
Added: December 7, 2024
Ivanova M., Germanova K., Petelin D. et al., / Series 005140 "Biorxiv". 2024.
Bipolar disorder (BD) involves altered reward processing and decision-making, with inconsistencies across studies. Here, we integrated hierarchical Bayesian modelling with magnetoencephalography (MEG) to characterise maladaptive belief updating in this condition. First, we determined if previously reported increased learning rates in BD stem from a heightened expectation of environmental changes. Additionally, we examined if this increased ...
Added: November 30, 2024
Degterev D. A., Абрамова Е. А., Современная Европа 2024 № 5(126) С. 74–87
The ongoing foreign policy failures of France in Africa, primarily in the countries of the Sahel zone, force us to pay special attention to the mechanisms of decision-making in this area, which is the focus of this paper. A key place is given to the role of the academic community in the foreign policy expertise ...
Added: November 19, 2024
Касьянов Е., Пинахина Д., Rakitko A. et al., Consortium Psychiatricum 2024 Vol. 5 No. 2 P. 5–15
Added: November 10, 2024
Poddiakov A., Human Arenas. An Interdisciplinary Journal of Psychology, Culture, and Meaning 2024
The status of the axioms of transitivity of dominance (“if x dominates y and y dominates z, then x dominates z” and “if a person prefers A to B and B to C, then that person should prefer A to C”) as key components of rationality is discussed. The discussion is conducted in the context ...
Added: September 18, 2024
Springer, 2024.
This book presents recent research in intelligent and fuzzy techniques on Intelligent Industrial Informatics and Efficient Networks. This cutting-edge field integrates advanced technologies, such as artificial intelligence, machine learning and data analytics, into industrial processes, revolutionizing the way industries operate. The book presents the examples of the implementation of smart sensors and IoT devices, which ...
Added: September 14, 2024
Markiewicz P., Научный вестник ГосНИИ ГА 2020 № 30 С. 58–66
This article considers the problem of choosing a wing airfoil, taking into account the multi-purpose nature of light civilian aircraft. For a given class of aircraft, it is assumed that the flight is performed at airspeed less than the critical Mach number, this allows to omit the effect of compressibility on airfoil performance. We validate ...
Added: September 12, 2024
Kartasheva Anna, Tomiltseva D., , in: 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 13-15 May 2024.: IEEE, 2024. P. 185–187.
Technologies and algorithms combine quantitative data about people and deep insights into the causes of human actions, empowering people to create new artificial agents. The article raises the challenges of implementing normativity in urban spaces equipped with technical systems with artificial intelligence. The improvement of urban life is come through access to technology also the ...
Added: September 9, 2024
Oreshkina T., Kartasheva Anna, Zabokritskaya L., , in: 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 13-15 May 2024.: IEEE, 2024. P. 217–219.
The study discusses the integration of technological solutions based on social media data for vocational guidance in education. It focuses on educational guidance services like «Career Guidance Robot», «Wizard», and «IOT Navigator». The analysis explores reasons for unsuccessful launches of career guidance services, emphasizing the challenge of achieving sufficient prediction accuracy and its impact on ...
Added: September 9, 2024
Isaev D., В кн.: Инжиниринг предприятий и управление знаниями (ИП&УЗ–2022). Сборник научных трудов XXV Российской научно-практической конференции, г. Москва, 6–7 декабря 2022 г.Т. 1.: М.: ФГБОУ ВО "РЭУ им. Г.В. Плеханова", 2022. С. 138–143.
The paper considers a structured approach to multi-criteria management decision making based on criteria of different types. The differences in the types of criteria are explained by availability of different types of supporting indicators (both quantitative and qualitative), as well as by availability of missing values for some indicators. Main stages of the decision making ...
Added: September 2, 2024