A5061861947- Mental Health Research Topics
- Neural and Behavioral Psychology Studies
- Heart Rate Variability and Autonomic Control
- Behavioral Health and Interventions
- Decision-Making and Behavioral Economics
- Personality Disorders and Psychopathology
- Experimental Behavioral Economics Studies
- Bayesian Modeling and Causal Inference
- Family Business Performance and Succession
- Software Reliability and Analysis Research
- Complex Systems and Decision Making
- Software Engineering Research
- Nutritional Studies and Diet
- Neuroinflammation and Neurodegeneration Mechanisms
- Memory Processes and Influences
- Cognitive Functions and Memory
- Evolutionary Psychology and Human Behavior
- Consumer Attitudes and Food Labeling
- Cardiac electrophysiology and arrhythmias
- Olfactory and Sensory Function Studies
- Advanced Causal Inference Techniques
- Extremum Seeking Control Systems
- Statistical Methods and Bayesian Inference
- Consumer Behavior in Brand Consumption and Identification
- Memory and Neural Mechanisms
Hitotsubashi University
2024-2025
Japan Society for the Promotion of Science
2015-2024
Senshu University
2022-2024
Nagoya University
2012-2022
Slovak Academy of Sciences
2022
University of Agder
2022
People across the world and throughout history have gone to great lengths enhance their physical appearance. Evolutionary psychologists ethologists largely attempted explain this phenomenon via mating preferences strategies. Here, we test one of most popular evolutionary hypotheses for beauty-enhancing behaviors, drawn from market parasite stress perspectives, in a large cross-cultural sample. We also other influential non-mutually exclusive theoretical frameworks, biosocial role theory...
The phenomenon in which a certain smell evokes specific memory is known as the Proust phenomenon. Odor-evoked autobiographic memories are more emotional than those elicited by other sensory stimuli. results of our previous study indicated that odor-evoked accompanied positive emotions has remarkable effects on various psychological and physiological activities, including secretion cytokines, immune-signaling molecules modulate systemic inflammation. In this study, we aimed to clarify neural...
Romantic love is a near-universal human experience. However, while it transcends cultural boundaries, its intensity varies significantly across individuals and societies. We hypothesize that this variability partly driven by socio-cultural factors, particularly individualism—a orientation prioritizing personal goals over group interests. As individualism continues to rise globally, implications for romantic relationships remain underexplored. Here, we address examining the link between in...
Food preferences differ among individuals, and these variations reflect underlying personalities or mental tendencies. However, capturing predicting individual differences remains challenging. Here, we propose a novel method to predict food by using CLIP (Contrastive Language-Image Pre-Training), which can capture both visual semantic features of images. By applying this image rating data obtained from human subjects, demonstrated our method's prediction capability, achieved better scores...
How much do you like a particular food? tasty does it look? Does seem healthy? Such subjective evaluations of foods guide our dietary choices. Maladaptive food are often linked to the development obesity. In this study, we introduce dataset that includes ratings 896 images, assessed in terms likability, tastiness, and healthiness, from 199 online participants. Our pilot analysis demonstrated obese lean participants exhibited largely similar patterns their evaluations, with some minor...
Accumulating studies support the existence of dual learning systems in decision making: one is model-free system, which updates values based solely on experience; and other model-based calculates using a complex environmental structure. A two-stage task its computational model have been widely used to distinguish effects these choices. However, often as tool without doubting assumptions. In this study, we examined possible biases parameter estimation due misspecification model. particular,...
Decision-making is assumed to be supported by model-free and model-based systems: the system based purely on experience, while uses a cognitive map of environment more accurate. The recently developed multistep decision-making task its computational model can dissociate contributions two systems have been used widely. This study this understand our value-based learning process tested alternative algorithms for systems. in had deterministic transition structure, degree use structure estimated...
Computational modeling has been applied for data analysis in psychology, neuroscience, and psychiatry. One of its important uses is to infer the latent variables underlying behavior by which researchers can evaluate corresponding neural, physiological, or behavioral measures. This feature especially crucial computational psychiatry, altered processes mental disorders are interest. For instance, several studies employing model-based fMRI—a method identifying brain regions correlated with...
Abstract Reinforcement learning models have the potential to clarify meaningful individual differences in decision-making process. This study focused on two aspects regarding nature of a reinforcement model and its parameters: problems misspecification reliability. Online participants, N = 453, completed self-report measures probabilistic task twice 1.5 months apart, data from were fitted using several models. To address problem misspecification, we compared with without influence choice...
The general psychopathological factor, referred to as the p-factor, is gaining increasing attention because it contributes elucidation of pathophysiology and development treatments. However, indicators for eciently measuring p-factor in a brief simple manner are lacking. This study examined DSM-5 Level 1 Cross-Cutting Symptom Measure (DSM-XC) potential tool assessing p-factor. DSM-XC comprehensive screening broad spectrum mental disorders; yet its utility psychometric properties have not...
This study examined the effect of emotional context on recognition memory for neutral targets over time.Participants (N = 36) read sentences with negative, neutral, or positive valence in which emotionally target words were embedded.Two groups participants asked to recognize after different retention intervals, immediate and 24-hour.Performance was better group than that delayed group.The two showed opposite effects context: Target negative best remembered but worst a 24-hour delay.These...
This study aimed to investigate whether instrumental reward learning is affected by the cardiac cycle. To this end, we examined effects of cycle (systole or diastole) on computational processes underlying participants’ choices in task. In task, participants were required select one two discriminative stimuli (neutral visual stimuli) and immediately receive reward/punishment feedback depending probability assigned chosen stimuli. manipulate cycle, presentation was timed coincide with either...
Although psychiatric disorders have conventionally been treated categorically, recent research indicates a continuous and hierarchical structure among symptoms, with general psychopathology factor (p-factor) at the top several specific factors lower levels. However, understanding of psychometric properties these in population remains limited. In this study, analyzing responses from approximately 1000 individuals across three datasets to various diagnostic questionnaires, we extracted using...
Abstract This study aimed to investigate whether instrumental reward learning is affected by the cardiac cycle. To this end, we examined effects of cycle (systole or diastole) on computational processes underlying participants’ choices in task. In task, participants were required select one two discriminative stimuli (neutral visual stimuli) and immediately receive reward/punishment feedback depending probability assigned chosen stimuli. manipulate cycle, presentation was timed coincide with...
Reinforcement learning models have the potential to clarify meaningful individual differences in decision-making process. This study focused on two aspects regarding nature of a reinforcement model and its parameters: problems misspecification reliability. Online participants, N=453, completed self-report measures probabilistic task twice 1.5 months apart, data from were fitted using several models. To address problem misspecification, we compared with without influence choice history, or...
Computational modeling of behavior is increasingly being adopted as a standard methodology in psychology, cognitive neuroscience, and computational psychiatry. This approach involves estimating parameters (or cognitive) model that represents the processes underlying behavior. In this approach, reliability parameter estimates an important issue. The use hierarchical (Bayesian) approaches, which place prior on each individual participants, thought to improve parameters. However,...