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Dorsolateral prefrontal cortex plays causal role in probability weighting during risky choice
Scientific Reports. 2022. Vol. 12. No. 1. Article 16115.
In this study, we provide causal evidence that the dorsolateral prefrontal cortex (DLPFC) supports the computation of subjective value in choices under risk via its involvement in probability weighting. Following offline continuous theta-burst transcranial magnetic stimulation (cTBS) of the DLPFC subjects (N = 30, mean age 23.6, 56% females) completed a computerized task consisting of 96 binary lottery choice questions presented in random order. Using the hierarchical Bayesian modeling approach, we then estimated the structural parameters of risk preferences (the degree of risk aversion and the curvature of the probability weighting function) and analyzed the obtained posterior distributions to determine the effect of stimulation on model parameters. On a behavioral level, temporary downregulation of the left DLPFC excitability through cTBS decreased the likelihood of choosing an option with higher expected reward while the probability of choosing a riskier lottery did not significantly change. Modeling the stimulation effects on risk preference parameters showed anecdotal evidence as assessed by Bayes factors that probability weighting parameter increased after the left DLPFC TMS compared to sham.
Салихова А. А., Polikanova I., Вестник Московского университета. Серия 14: Психология 2026 Т. 49 № 3 С. 9–34
Background. An adaptive attitude toward uncertainty may facilitate goals achievement, however, there is a lack of scientific research on this issue among extreme sport athletes. Sports tourism (ST) is a promising area for investigation of the psychological mechanisms underlying adaptation to extreme stressful environments. Objective. The goal is to establish the connection between tolerance for uncertainty, route experience, autonomy skills, and ...
Added: September 18, 2026
Сизикова Т. Э., Леонов С. В., Polikanova I., Сибирский психологический журнал 2026 № 101 С. 127–145
This work aims to investigate the impact of a transformational psychological game on changes in psychological parameters of coping behavior and to identify electrophysiological correlates, taking into account the age characteristics of the subjects. The intervention was carried out using the transformational psychological game "Shambhala – 5" (by T.E. Sizikova). The article analyzes psychologist views on transformation, ...
Added: September 18, 2026
Monahhova E., Morozova A., Gorodnicheva Y. et al., Frontiers in Human Neuroscience 2026 No. 20 Article 1867901
Inroduction:
Source credibility is fundamental to how medical information is processed,yet the underlying neurocognitive mechanisms remain poorly understood. We investigated how two credibility cues — a doctor’s expertise (years of work experience) and aggregate patient ratings (star ratings) — modulate brain responses to veracity cues (‘True’ vs. ‘False’) presented after health- related headlines.
Methods:
We recorded EEG from ...
Added: September 18, 2026
Papageorgiou K., Лиханов М. В., Li J. et al., Personality and Individual Differences 2026 Vol. Volume 263 Article 114019
Multivariate approaches are needed to gain a better understanding of the positive and negative impacts of Dark Triad traits within personality networks under different socio-cultural and personal conditions. In three independent studies in two countries (total N of participants = 4700), we applied network analyses and structural equation modeling to investigate the network of personality (Dark Triad ...
Added: September 18, 2026
Shaitan A., Ke Y., Shutao C. et al., BMC Biology 2026 No. 24 Article 181
Background Therapeutic peptides exert pivotal effects in diverse biological processes, and have attracted significant interest in the field of biomedicine in recent years. However, most existing methods often fail to adequately capture the intricate interactions among amino acid residues and the contextual dependencies within peptide sequences, which hampers the extraction of deep semantic representations and ...
Added: September 18, 2026
Tatarko A., Организационная психология 2026 Т. 16 № 2 С. 9–44
Цель. Цель статьи состояла в разработке новой концептуальной модели метамотивационных оснований существования социальных групп, которая позволила бы
объяснить их устойчивость, целенаправленное функционирование и формирование коллективной идентичности. Автор стремился выявить и систематизировать ключевые элементы,
придающие смысл и стратегическое направление групповому существованию. Подход. Работа
основана на синтезе концепций мотивации А. Маслоу, культурно-исторического подхода (Л.
С. Выготский, А. Н. Леонтьев), теории ценностей ...
Added: September 17, 2026
Anton Rogachev, Logvinenko T., Rebreikina A. et al., Cognitive Science 2026 Vol. 50 No. 9 Article 70263
In a recent Letter to the Editor in Cognitive Science, Németh et al. (2026) published a critical commentary in response to our experimental article on the study of visual statistical learning (visual SL) in children aged 3–9 years. The authors present three critical points regarding (1) the inaccurate interpretation of the results of their article, (2) ...
Added: September 17, 2026
Anton Rogachev, Sysoeva O., Frontiers in Systems Neuroscience 2025 Vol. 19 Article 1658243
Added: September 17, 2026
Anton Rogachev, Logvinenko T., Rebreikina A. et al., Cognitive Science 2025 Vol. 49 No. 10 Article e70130
Visual statistical learning (visual SL) is the ability to implicitly extract statistical patterns from visual stimuli. Visual SL could be assessed using online measures, evaluating reaction times (RTs) to stimuli during task performance, and offline measures, which assess recognition of the presented patterns. We examined 96 children aged 3−9 years using a visual SL task ...
Added: September 17, 2026
Rogachev A.O., Sysoeva O. V., Cognitive Systems Research 2024 Vol. 86 Article 101236
Receptive speech is the ability to understand speech addressed to a person. It is a crucial process for a child’s cognitive development. We examine the relationship between receptive speech and neural tracking of natural speech in 52 children aged 3–8 years to infer the neurophysiological mechanisms underlying speech development. We registered a 32-channel electroencephalogram (EEG) ...
Added: September 17, 2026
Blinova E., Sherbakova O., Learning and Instruction 2026 Vol. 106 Article 102432
Abstract
Background
Knowledge abstractness is one of the factors affecting learning outcomes, particularly in learning from multimedia texts. However, most previous studies on multimedia learning have focused on manipulating pictorial abstractness, while the role of text topic abstractness remains largely unexplored.
Aims
1. Examine how topic abstractness influences multimedia learning outcomes when pictorial abstractness remains constant. 2. Investigate how ...
Added: September 16, 2026
Koriakina M., Ntoumanis I., Blagoveshchensky E. et al., Frontiers in Human Neuroscience 2026 Vol. 20 Article 1754368
Introduction:
Understanding how we perceive and interpret the movements of other living beings is fundamental to social interaction, survival, and navigating our dynamic environment. Traditional studies of biological motion perception have predominantly employed simplified stimuli, such as point-light displays, which sacrifice ecological validity for experimental control.
Methods:
To overcome this limitation, we created a novel stimulus set featuring ...
Added: September 15, 2026
Poddiakov A., / Series Social Science Research Network "Social Science Research Network". 2026. No. 7437658.
Clarity of knowledge and reasoning is necessary in many cases. Yet vagueness in scientific thinking related to surprise, curiosity, "ability to engage with not-knowing" (de Freitas) and abductive reasoning is also a crucially important source of scientific creativity which supplements combinatorial logic when dealing with the already known. Starting from studies by C. S. Peirce ...
Added: September 15, 2026
Торопова А. В., Vayderman B. O., Мир психологии. Научно-методический журнал 2026 № 3 С. 4–19
The article presents grounds for conceptualizing the phenomenon of “presence” in the space of counseling psychological work with orphaned children. Materials 5 of psychological sessions are presented, on the basis of which prerequisites for building the author’s conceptual model were identified. Deep phenomenological and hermeneutic research is based on the personological works of E. B. ...
Added: September 14, 2026
A. G. Davydova, J. P. Sheronova, V. V. Kosonogov et al., Neuroscience and Behavioral Physiology 2023 Vol. 53 No. 2 P. 247–256
The theory of cognitive dissonance (CD) is tightly linked with studies of the process of making complex decisions. In particular, CD is manifest within the framework of the “free choice paradigm” consisting of reassessment of alternatives as a result of choosing between two similar alternatives via the motivation to reduce internal conflict. The mechanisms of ...
Added: April 18, 2023
Davydova A., Sheronova J., Kosonogov V. et al., , in: 2022 Fourth International Conference Neurotechnologies and Neurointerfaces (CNN) Kaliningrad, 14-16 Sept. 2022.: IEEE, 2022.
The theory of cognitive dissonance suggested by Leon Festinger (1957) relies on the psychological observations of the inconsistency between people’s choice and actions and proposes that the conflict between choice and actions causes the internal conflict named cognitive dissonance, which leads to the potential modification of the behavior or attitudes to reduce or eliminate this ...
Added: November 10, 2022
IEEE, 2022.
The theory of cognitive dissonance suggested by Leon Festinger (1957) relies on the psychological observations of the inconsistency between people’s choice and actions and proposes that the conflict between choice and actions causes the internal conflict named cognitive dissonance, which leads to the potential modification of the behavior or attitudes to reduce or eliminate this ...
Added: October 24, 2022
Zinchenko O., Savelo O., Klucharev V., Scientific Reports 2021 No. 11 Article 22334
More than a decade of neuroimaging and brain stimulation studies point to a crucial role for the right dorsolateral prefrontal cortex (rDLPFC) in prosocial behavior. The intuitive prosociality model postulates that the rDLPFC controls intuitive prosocial behavior, whereas the reflective model assumes that the rDLPFC controls selfish impulses during prosocial behavior. The intuitive prosociality model ...
Added: November 1, 2021
Kodryan M., Kropotov D., Vetrov D., / Series QTNML 2020 "First Workshop on Quantum Tensor Networks in Machine Learning, NeurIPS 2020". 2020.
Tensor decomposition methods have recently proven to be efficient for compressing and accelerating neural networks. However, the problem of optimal decomposition structure determination is still not well studied while being quite important. Specifically, decomposition ranks present the crucial parameter controlling the compression-accuracy trade-off. In this paper, we introduce MARS - a new efficient method for ...
Added: February 5, 2021
Sobolev A., Vetrov D., , in: Advances in Neural Information Processing Systems 32 (NeurIPS 2019).: [б.и.], 2019. P. 1–13.
Variational Inference is a powerful tool in the Bayesian modeling toolkit, however, its effectiveness is determined by the expressivity of the utilized variational distributions in terms of their ability to match the true posterior distribution. In turn, the expressivity of the variational family is largely limited by the requirement of having a tractable density function. ...
Added: March 13, 2020
Lapshin V. A., Studies in Economics and Finance 2019 Vol. 36 No. 4 P. 600–615
The article shows how the Bayesian approach to income adjustment can be implemented in a non-parametric structure with automatic smoothing obtained from data. It also briefly illustrates the benefits of this approach using real data.
The article uses an infinite-dimensional (functional space) approach to reverse problems. Numerical calculations are performed using the Markov-Monte Carlo chain algorithm ...
Added: January 11, 2019
Kozhevina O., Прокопчина С. В., Городиский И. М., Экономика и управление: проблемы, решения 2015 Т. 5 № 12 С. 26–37
В статье рассматриваются вопросы применения информационно-аналитической системы "Инфоаналитик", созданной на основе байесовских интеллектуальных технологий, для оценки состояния экономики страны, составления прогнозов социально-экономического развития РФ и определения важнейших направлений государственной политики в части развития отдельных отраслей. ...
Added: June 8, 2018
Kozhevina O., Прокопчина С. В., Передних Л. В., Экономика и управление: проблемы, решения 2017 Т. 4 № 1 С. 26–35
В статье представлены возможности применения для условий макроэкономической неопределенности регуляризирующего байесовского подхода и информационных технологий на его основе (программная среда «Инфоаналитик»), в частности, для создания систем мониторинга и динамического моделирования отраслевой динамики, а также оценки тенденций развития сфер экономики. Подход предполагает проведение динамической оценки прогнозного развития сфер экономики на основании исследования динамики основных социально-экономических параметров ...
Added: March 2, 2018
Вотинов А. И., Stankevich I., Финансовый журнал 2017 № 6 С. 64–74
The paper presents a vector autoregression-based approach to evaluation of fiscal measures. Using both structural and bayesian VAR models, we estimate fiscal multipliers of overall government expenditure and its components: national defense, national economy, education and social policy expenditures. Results are checked for robustness using different lag length and model specifications and different sets of ...
Added: January 10, 2018